Mastra Clinic — API

Paste the Mastra code, get a structured production-readiness review.

API tokens Open the app

Review your Mastra agents and workflows from your own scripts

Send Mastra TypeScript source — one file or several, each preceded by a // file: name.ts comment — and get back one JSON object: a production-readiness posture, the inventory of every Mastra construct with its role, prioritized findings across correctness, reliability, security, maintainability, performance and cost, each with a corrected TypeScript fragment, quick wins, and the focus areas to work through first. Everything this app does goes through the SkillSafe App API — plain JSON over HTTPS — so you can hang a review off any pull request that touches your agents. Wire it into whatever produces or reviews them: a pre-merge check on src/mastra/, a scheduled agent audit, or an editor command. Pick a language once and the whole page follows.

Basics

Base URL: https://api.skillsafe.ai/v1/app-api, app slug mastra-clinic. Every request sends Authorization: Bearer <token> and JSON bodies with Content-Type: application/json. Responses are wrapped in an envelope: {"data": …} on success, {"error": {"code", "message"}} on failure. The review itself is produced by the gpt-terra model. Estimates are free; runs are metered against your credit balance. There is a single run task — one bundle of Mastra code in, one review out, no follow-up calls and no session state to carry.

StatusMeaning
401Missing or expired token — create a new session.
402Not enough credits — top up at skillsafe.ai/account/credits.
403The token isn't allowed to do this (e.g. a guest reviewing a very large project).
404Unknown job or record id.
5xxTransient platform error — retry with backoff.

Browsers enforce CORS for this API, so run these examples from a server, script or terminal — not from another website's frontend.

Step 0 — A tiny client

Every task below is a single HTTP call, so start with a short helper that adds the auth header, sends JSON and unwraps the data envelope. The later steps reuse it.

export API="https://api.skillsafe.ai/v1/app-api"
export TOKEN="YOUR_TOKEN"      # see step 1

# every call looks like:
#   curl -s "$API/..." -H "Authorization: Bearer $TOKEN" [-d '{json}']
# jq is used below to pull fields out of the {"data": ...} envelope
import json, requests

API = "https://api.skillsafe.ai/v1/app-api"
TOKEN = "YOUR_TOKEN"  # see step 1 — read it from your shell environment in real code

def api(method, path, body=None, **headers):
    res = requests.request(method, API + path, json=body,
                           headers={"Authorization": f"Bearer {TOKEN}", **headers})
    payload = res.json()
    if not res.ok:
        raise RuntimeError(payload.get("error", {}).get("message", res.reason))
    return payload["data"]
// Node 18+ (built-in fetch)
const API = "https://api.skillsafe.ai/v1/app-api";
const TOKEN = "YOUR_TOKEN"; // see step 1 — read it from your shell environment in real code

async function api(method, path, body, extraHeaders = {}) {
  const res = await fetch(API + path, {
    method,
    headers: { Authorization: `Bearer ${TOKEN}`, "Content-Type": "application/json", ...extraHeaders },
    body: body === undefined ? undefined : JSON.stringify(body),
  });
  const json = await res.json();
  if (!res.ok) throw new Error(json.error?.message ?? res.statusText);
  return json.data;
}
package main

import (
	"bytes"
	"encoding/json"
	"fmt"
	"net/http"
	"os"
)

const API = "https://api.skillsafe.ai/v1/app-api"

var token = os.Getenv("SKILLSAFE_TOKEN") // see step 1

func call(method, path string, body, out any) error {
	var buf bytes.Buffer
	if body != nil {
		json.NewEncoder(&buf).Encode(body)
	}
	req, _ := http.NewRequest(method, API+path, &buf)
	req.Header.Set("Authorization", "Bearer "+token)
	req.Header.Set("Content-Type", "application/json")
	res, err := http.DefaultClient.Do(req)
	if err != nil {
		return err
	}
	defer res.Body.Close()
	var env struct {
		Data  json.RawMessage `json:"data"`
		Error *struct{ Message string `json:"message"` } `json:"error"`
	}
	json.NewDecoder(res.Body).Decode(&env)
	if res.StatusCode >= 400 {
		return fmt.Errorf("api %s %s: %s", method, path, env.Error.Message)
	}
	if out == nil {
		return nil
	}
	return json.Unmarshal(env.Data, out)
}
// Java 17+, no dependencies. Pair with your JSON library (Jackson, Gson…)
// to read fields out of the returned envelope.
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;

public class SkillSafe {
    static final String API = "https://api.skillsafe.ai/v1/app-api";
    static final String TOKEN = System.getenv("SKILLSAFE_TOKEN"); // see step 1
    static final HttpClient HTTP = HttpClient.newHttpClient();

    static String api(String method, String path, String jsonBody) throws Exception {
        var req = HttpRequest.newBuilder(URI.create(API + path))
            .header("Authorization", "Bearer " + TOKEN)
            .header("Content-Type", "application/json")
            .method(method, jsonBody == null
                ? HttpRequest.BodyPublishers.noBody()
                : HttpRequest.BodyPublishers.ofString(jsonBody))
            .build();
        var res = HTTP.send(req, HttpResponse.BodyHandlers.ofString());
        if (res.statusCode() >= 400) throw new RuntimeException(res.body());
        return res.body(); // envelope: {"data": …}
    }
}
require "net/http"
require "json"

API = "https://api.skillsafe.ai/v1/app-api"
TOKEN = ENV.fetch("SKILLSAFE_TOKEN") # see step 1

def api(method, path, body = nil)
  uri = URI(API + path)
  req = Net::HTTP.const_get(method.capitalize).new(uri)
  req["Authorization"] = "Bearer #{TOKEN}"
  req["Content-Type"] = "application/json"
  req.body = body.to_json if body
  res = Net::HTTP.start(uri.host, uri.port, use_ssl: true) { |h| h.request(req) }
  payload = JSON.parse(res.body)
  raise (payload.dig("error", "message") || res.message) unless res.is_a?(Net::HTTPSuccess)
  payload["data"]
end
<?php
const API = "https://api.skillsafe.ai/v1/app-api";
$TOKEN = getenv("SKILLSAFE_TOKEN"); // see step 1

function api(string $method, string $path, ?array $body = null): mixed {
    global $TOKEN;
    $ch = curl_init(API . $path);
    curl_setopt_array($ch, [
        CURLOPT_CUSTOMREQUEST  => $method,
        CURLOPT_RETURNTRANSFER => true,
        CURLOPT_HTTPHEADER     => [
            "Authorization: Bearer $TOKEN",
            "Content-Type: application/json",
        ],
        CURLOPT_POSTFIELDS     => $body === null ? null : json_encode($body),
    ]);
    $payload = json_decode(curl_exec($ch), true);
    $status  = curl_getinfo($ch, CURLINFO_RESPONSE_CODE);
    curl_close($ch);
    if ($status >= 400) {
        throw new Exception($payload["error"]["message"] ?? "HTTP $status");
    }
    return $payload["data"];
}
// .NET 8+
using System.Net.Http.Json;
using System.Text.Json;

static class SkillSafe
{
    const string Api = "https://api.skillsafe.ai/v1/app-api";
    static readonly HttpClient Http = new();

    static SkillSafe() =>
        Http.DefaultRequestHeaders.Authorization =
            new("Bearer", Environment.GetEnvironmentVariable("SKILLSAFE_TOKEN")); // see step 1

    public static async Task<JsonElement> ApiAsync(HttpMethod method, string path, object? body = null)
    {
        var req = new HttpRequestMessage(method, Api + path);
        if (body != null) req.Content = JsonContent.Create(body);
        var res = await Http.SendAsync(req);
        var json = await res.Content.ReadFromJsonAsync<JsonElement>();
        if (!res.IsSuccessStatusCode)
            throw new Exception(json.GetProperty("error").GetProperty("message").GetString());
        return json.GetProperty("data");
    }
}

Step 1 — Get a token

POST /guest

A guest token lets you check balances and estimate costs for free. For metered review runs billed to your own account, use your personal token: open the token page, sign in with SkillSafe, and press Copy shell export — it puts export SKILLSAFE_TOKEN="…" on your clipboard, which every example below reads. Treat the token like a password: it can spend your credits. For fully headless scripts, POST /guest mints a guest token with no browser involved.

curl -s -X POST "$API/guest" \
  -H "Content-Type: application/json" \
  -d '{"slug":"mastra-clinic"}' | jq -r '.data.token'
token = api("POST", "/guest", {"slug": "mastra-clinic"})["token"]
const { token } = await api("POST", "/guest", { slug: "mastra-clinic" });
var guest struct{ Token string `json:"token"` }
err := call("POST", "/guest", map[string]string{"slug": "mastra-clinic"}, &guest)
String envelope = api("POST", "/guest", """
    {"slug":"mastra-clinic"}""");
// token is at data.token in the returned JSON
token = api("POST", "/guest", { slug: "mastra-clinic" })["token"]
$token = api("POST", "/guest", ["slug" => "mastra-clinic"])["token"];
var guest = await SkillSafe.ApiAsync(HttpMethod.Post, "/guest",
    new { slug = "mastra-clinic" });
var token = guest.GetProperty("token").GetString();

The app stores this browser's token under the localStorage key skillsafe_app_token:mastra-clinic, on the app's own origin. The token page reads and manages it for you — you never need to open developer tools.

Step 2 — Check who you are and your balance

GET /me

Returns subject_type ("user" or "guest"), subject_id and your credits balance. Check this before reviewing a large bundle.

curl -s "$API/me" -H "Authorization: Bearer $TOKEN" | jq '.data'
me = api("GET", "/me")
print(me["subject_type"], me["credits"])
const me = await api("GET", "/me");
console.log(me.subject_type, me.credits);
var me struct {
	SubjectType string `json:"subject_type"`
	Credits     int64  `json:"credits"`
}
err := call("GET", "/me", nil, &me)
String envelope = api("GET", "/me", null);
// data.subject_type, data.credits
me = api("GET", "/me")
puts "#{me["subject_type"]}: #{me["credits"]} credits"
$me = api("GET", "/me");
echo "{$me['subject_type']}: {$me['credits']} credits\n";
var me = await SkillSafe.ApiAsync(HttpMethod.Get, "/me");
Console.WriteLine($"{me.GetProperty("subject_type")}: {me.GetProperty("credits")} credits");

Step 3 — Estimate the cost

POST /estimate

Send exactly the input you would send to /run; the response's hold_credits is the worst-case cost. Nothing is charged and no job is created, so estimating is free — useful when you are piping a whole src/mastra/ directory in and want a ceiling before spending credits.

Input fieldTypeNotes
codestring, requiredThe Mastra TypeScript/JavaScript source: agent definitions, tools, workflows and steps, memory and Mastra instance configuration. One file or several concatenated, each preceded by a // file: name.ts comment. This is the model's only evidence — nothing is executed and no agent is run. Inputs longer than 100,000 characters are clipped middle-out, with a // [... clipped ...] comment showing where. At least 60 characters are needed for a review.
focusstringagents | workflows | tools-mcp | rag-memory | full-project | unknown — what the paste is mostly about; it shifts which expertise leads the review.
concernstringgeneral | correctness | reliability | security | cost — the review emphasis. It weights the findings and the summary, but it is emphasis and not exclusivity: a high-severity finding from another category is never suppressed.
contextstring, optionalExtra context: Mastra and provider versions, where this deploys (long-lived server, serverless, edge), expected traffic, which models are in use and why, what is already handled in files you did not paste, and any gap you have already chosen to accept. Clipped at 20,000 characters.
prescan_factsobject, optionalWhat a client-side scanner mechanically matched in the code: {"resources": [], "flags": []}. Each entry is {id, label}. Resource ids look like res:agent/support-agent or res:workflow/ticket-triage; flag ids are <check>:<name>plain-secret:apikey, loose-schema:src/tools/ticket-tools.ts-9, no-description:post-reply, uncommitted-workflow:ticket-triage, memory-no-storage:src/agents/support-agent.ts-17, legacy-workflow:src/workflows/escalation.ts, interpolated-instructions:support-agent, unhandled-tool-error:fetch-ticket, blocking-loop:while-71, schemaless-step:step-classify-ticket, console-noise:src/tools/ticket-tools.ts. Every flag id you send comes back in coverage_check. The web UI fills this from its own scan; API callers may omit the field or send the two empty arrays.
retry_notestring, optionalOnly set by the app's automatic reformat retry when a first reply was not valid JSON. Leave it out.
cat > agent.ts <<'CODE'
import { Agent } from "@mastra/core/agent";
import { Memory } from "@mastra/memory";
  export const helpdesk = new Agent({ name: "helpdesk", instructions: "Answer product questions.", model: "openai/gpt-4o-mini", memory: new Memory() });
CODE

jq -n --rawfile code agent.ts \
  '{code: $code,
    focus: "agents",
    concern: "general",
    context: "Mastra 1.x on a single Node server, moving to serverless next quarter.",
    prescan_facts: {resources: [], flags: []}}' > input.json

curl -s -X POST "$API/estimate" \
  -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" \
  -d @input.json | jq '.data.hold_credits'
CODE = """import { Agent } from "@mastra/core/agent";
import { Memory } from "@mastra/memory";
  export const helpdesk = new Agent({ name: "helpdesk", instructions: "Answer product questions.", model: "openai/gpt-4o-mini", memory: new Memory() });
"""

payload = {
    "code": CODE,
    "focus": "agents",
    "concern": "general",
    "context": "Mastra 1.x on a single Node server, moving to serverless next quarter.",
    "prescan_facts": {"resources": [], "flags": []},
}

est = api("POST", "/estimate", payload)
print("worst case:", est.get("hold_credits", est.get("credits")), "credits")
const code = [
  'import { Agent } from "@mastra/core/agent";',
  'import { Memory } from "@mastra/memory";',
  '  export const helpdesk = new Agent({ name: "helpdesk", instructions: "Answer product questions.", model: "openai/gpt-4o-mini", memory: new Memory() });',
].join("\n");

const payload = {
  code,
  focus: "agents",
  concern: "general",
  context: "Mastra 1.x on a single Node server, moving to serverless next quarter.",
  prescan_facts: { resources: [], flags: [] },
};

const est = await api("POST", "/estimate", payload);
console.log("worst case:", est.hold_credits ?? est.credits, "credits");
const code = `import { Agent } from "@mastra/core/agent";
import { Memory } from "@mastra/memory";
  export const helpdesk = new Agent({ name: "helpdesk", instructions: "Answer product questions.", model: "openai/gpt-4o-mini", memory: new Memory() });`

payload := map[string]any{
	"code":    code,
	"focus": "agents",
	"concern":     "general",
	"context":     "Mastra 1.x on a single Node server, moving to serverless next quarter.",
	"prescan_facts": map[string]any{
		"resources": []any{}, "flags": []any{},
	},
}

var est struct{ HoldCredits int64 `json:"hold_credits"` }
err := call("POST", "/estimate", payload, &est)
String code = """
    import { Agent } from "@mastra/core/agent";
    import { Memory } from "@mastra/memory";
      export const helpdesk = new Agent({ name: "helpdesk", instructions: "Answer product questions.", model: "openai/gpt-4o-mini", memory: new Memory() });
    """;

String jsonPayload = """
    {"code": %s,
     "focus": "agents",
     "concern": "general",
     "context": "Mastra 1.x on a single Node server, moving to serverless next quarter.",
     "prescan_facts": {"resources": [], "flags": []}}
    """.formatted(toJsonString(code));

String envelope = api("POST", "/estimate", jsonPayload);
// worst-case cost is at data.hold_credits
CODE = <<~JS
  import { Agent } from "@mastra/core/agent";
  import { Memory } from "@mastra/memory";
    export const helpdesk = new Agent({ name: "helpdesk", instructions: "Answer product questions.", model: "openai/gpt-4o-mini", memory: new Memory() });
JS

payload = { code: CODE,
            focus: "agents",
            concern: "general",
            context: "Mastra 1.x on a single Node server, moving to serverless next quarter.",
            prescan_facts: { resources: [], flags: [] } }

est = api("POST", "/estimate", payload)
puts "worst case: #{est["hold_credits"] || est["credits"]} credits"
$code = <<<'JS'
import { Agent } from "@mastra/core/agent";
import { Memory } from "@mastra/memory";
  export const helpdesk = new Agent({ name: "helpdesk", instructions: "Answer product questions.", model: "openai/gpt-4o-mini", memory: new Memory() });
JS;

$payload = [
    "code"          => $code,
    "focus"         => "agents",
    "concern"       => "general",
    "context"       => "Mastra 1.x on a single Node server, moving to serverless next quarter.",
    "prescan_facts" => ["resources" => [], "flags" => []],
];

$est = api("POST", "/estimate", $payload);
echo "worst case: " . ($est["hold_credits"] ?? $est["credits"]) . " credits\n";
var code = """
    import { Agent } from "@mastra/core/agent";
    import { Memory } from "@mastra/memory";
      export const helpdesk = new Agent({ name: "helpdesk", instructions: "Answer product questions.", model: "openai/gpt-4o-mini", memory: new Memory() });
    """;

var payload = new {
    code,
    focus = "agents",
    concern = "general",
    context = "Mastra 1.x on a single Node server, moving to serverless next quarter.",
    prescan_facts = new {
        resources = Array.Empty<object>(), flags = Array.Empty<object>(),
    },
};

var est = await SkillSafe.ApiAsync(HttpMethod.Post, "/estimate", payload);
Console.WriteLine($"worst case: {est.GetProperty("hold_credits")} credits");

prescan_facts.flags is how you make the review answer for things you already know about. Send {"resources": [{"id": "res:agent/helpdesk", "label": "Agent/helpdesk"}], "flags": [{"id": "memory-no-storage:pasted-code-3", "label": "Memory without storage"}]} and every flag id comes back in coverage_check — addressed by a finding, or set aside with the reason. Nothing you flag is silently dropped, which makes it the field to assert on in a CI check.

Step 4 — Run the review and wait for the result

POST /run
GET /jobs/{job_id}

/run takes the same input as /estimate, places a credit hold and returns a job_id. Poll /jobs/{job_id} every 1–2 seconds until status is succeeded or failed (a run typically takes 30–90 s, since every finding carries a corrected code fragment). Always send an Idempotency-Key header so a network retry can't start a second, double-charged run. The review is in output — usually nested as output.output, and as a JSON string, so parse defensively. The samples below print the posture, the inventory, the prioritized findings and the focus areas, then save the whole object to review.json.

JOB_ID=$(curl -s -X POST "$API/run" \
  -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" \
  -H "Idempotency-Key: ec-$(date +%s)" \
  -d @input.json | jq -r '.data.job_id')

while :; do
  JOB=$(curl -s "$API/jobs/$JOB_ID" -H "Authorization: Bearer $TOKEN")
  STATUS=$(echo "$JOB" | jq -r '.data.status')
  [ "$STATUS" = "succeeded" ] || [ "$STATUS" = "failed" ] && break
  sleep 2
done

# unwrap the review once, then read it
echo "$JOB" | jq -r '.data.output.output' > review.json

jq -r '
  "\(.review_name) [\(.posture)]: \(.verdict)",
  "",
  "INVENTORY",
  (.inventory[] | "  \(.kind)/\(.name) in \(.scope) - \(.role)"),
  "",
  "FINDINGS",
  (.findings[] | "  [\(.priority)] \(.id) \(.category) \(.resource): \(.problem)"),
  "",
  "QUICK WINS",
  (.quick_wins[] | "  - \(.)"),
  "",
  "FOCUS AREAS",
  (.focus_areas[] | "  \(.area) - \(.why)"),
  "",
  "COVERAGE",
  (.coverage_check[] | "  \(.id): \(if .addressed then "ok" else "SET ASIDE" end) - \(.note)")' \
  review.json

# fail the pipeline on anything critical
jq -e '[.findings[] | select(.priority == "critical")] | length == 0' review.json > /dev/null \
  || { echo "critical findings present"; exit 1; }
import time

job_id = api("POST", "/run", payload,
             **{"Idempotency-Key": "ec-001"})["job_id"]

while True:
    job = api("GET", f"/jobs/{job_id}")
    if job["status"] in ("succeeded", "failed"):
        break
    time.sleep(1.5)

if job["status"] == "failed":
    raise RuntimeError(job.get("error", "run failed"))

raw = job["output"]
if isinstance(raw, dict) and "output" in raw:
    raw = raw["output"]
review = json.loads(raw) if isinstance(raw, str) else raw

print(f'{review["review_name"]} [{review["posture"]}]: {review["verdict"]}')
for r in review["inventory"]:
    print(f'  {r["kind"]}/{r["name"]:<24} in={r["scope"] or "-":<16} {r["role"]}')
for f in review["findings"]:
    print(f'  [{f["priority"]:>8}] {f["id"]} {f["category"]} {f["resource"]}')
    print(f'      L:{f["likelihood"]}/S:{f["severity"]} {f["problem"]}')
    print(f'      fix: {f["fix"]}')
    if f["snippet"]:
        print("      snippet:", f["snippet"].splitlines()[0], "...")
for w in review["quick_wins"]:
    print("  win:", w)
for a in review["focus_areas"]:
    print(f'  focus {a["area"]} {a["finding_ids"]} - {a["why"]}')
for c in review["coverage_check"]:
    print(f'  {c["id"]}: {"ok" if c["addressed"] else "SET ASIDE"} - {c["note"]}')

with open("review.json", "w", encoding="utf-8") as fh:
    json.dump(review, fh, indent=2)

critical = [f for f in review["findings"] if f["priority"] == "critical"]
if critical:
    raise SystemExit(f"{len(critical)} critical finding(s)")
import { writeFileSync } from "node:fs";

const { job_id } = await api("POST", "/run", payload,
  { "Idempotency-Key": crypto.randomUUID() });

let job;
do {
  await new Promise((r) => setTimeout(r, 1500));
  job = await api("GET", `/jobs/${job_id}`);
} while (job.status !== "succeeded" && job.status !== "failed");

if (job.status === "failed") throw new Error(job.error ?? "run failed");

const raw = job.output?.output ?? job.output;
const review = typeof raw === "string" ? JSON.parse(raw) : raw;

console.log(`${review.review_name} [${review.posture}]: ${review.verdict}`);
for (const r of review.inventory) {
  console.log(`  ${r.kind}/${r.name} (${r.scope || "-"}): ${r.role}`);
}
for (const f of review.findings) {
  console.log(`  [${f.priority}] ${f.id} ${f.category} ${f.resource}`);
  console.log(`      L:${f.likelihood}/S:${f.severity} - ${f.fix}`);
}
for (const w of review.quick_wins) console.log(`  win: ${w}`);
for (const a of review.focus_areas) {
  console.log(`  focus ${a.area} (${a.finding_ids.join(", ")}): ${a.why}`);
}
for (const c of review.coverage_check) {
  console.log(`  ${c.id}: ${c.addressed ? "ok" : "SET ASIDE"} - ${c.note}`);
}

writeFileSync("review.json", JSON.stringify(review, null, 2));

const critical = review.findings.filter((f) => f.priority === "critical");
if (critical.length) process.exitCode = 1;
var started struct{ JobID string `json:"job_id"` }
if err := call("POST", "/run", payload, &started); err != nil {
	log.Fatal(err)
}

var job struct {
	Status string          `json:"status"`
	Error  string          `json:"error"`
	Output json.RawMessage `json:"output"`
}
for {
	if err := call("GET", "/jobs/"+started.JobID, nil, &job); err != nil {
		log.Fatal(err)
	}
	if job.Status == "succeeded" || job.Status == "failed" {
		break
	}
	time.Sleep(1500 * time.Millisecond)
}

// job.Output is {"output": "<json string>"} — unwrap, then unmarshal:
type Review struct {
	ReviewName string `json:"review_name"`
	Posture    string `json:"posture"`
	Verdict    string `json:"verdict"`
	ExecSummary string `json:"exec_summary"`
	Assumptions   []string `json:"assumptions"`
	OpenQuestions []string `json:"open_questions"`
	Inventory []struct {
		Kind, Name, Scope, Role string
	} `json:"inventory"`
	Findings []struct {
		ID, Category, Severity, Likelihood, Priority string
		Resource, Problem, Impact, Fix, Snippet      string
	} `json:"findings"`
	CoverageCheck []struct {
		ID, Note  string
		Addressed bool
	} `json:"coverage_check"`
	QuickWins  []string `json:"quick_wins"`
	FocusAreas []struct {
		Area, Why  string
		FindingIDs []string `json:"finding_ids"`
	} `json:"focus_areas"`
	Summary string `json:"summary"`
}
var wrapper struct{ Output string `json:"output"` }
json.Unmarshal(job.Output, &wrapper)
var review Review
json.Unmarshal([]byte(wrapper.Output), &review)

fmt.Printf("%s [%s]: %s\n", review.ReviewName, review.Posture, review.Verdict)
for _, r := range review.Inventory {
	fmt.Printf("  %s/%s (%s): %s\n", r.Kind, r.Name, r.Scope, r.Role)
}
for _, f := range review.Findings {
	fmt.Printf("  [%s] %s %s %s: %s\n", f.Priority, f.ID, f.Category, f.Resource, f.Problem)
}
for _, a := range review.FocusAreas {
	fmt.Printf("  focus %s %v: %s\n", a.Area, a.FindingIDs, a.Why)
}
os.WriteFile("review.json", []byte(wrapper.Output), 0o644)
String envelope = api("POST", "/run", jsonPayload);
String jobId = /* data.job_id via your JSON library */;

while (true) {
    String job = api("GET", "/jobs/" + jobId, null);
    String status = /* data.status */;
    if (status.equals("succeeded") || status.equals("failed")) break;
    Thread.sleep(1500);
}
// The review is at data.output.output as a JSON string — parse it again, then read
// review_name, posture, verdict, exec_summary, assumptions[], open_questions[],
// inventory[] (kind/name/scope/role),
// findings[] (id/category/severity/likelihood/priority/resource/problem/impact/fix/snippet),
// coverage_check[] (id/addressed/note), quick_wins[],
// focus_areas[] (area/why/finding_ids[]) and summary.
// Finally keep the review on disk:
//   Files.writeString(Path.of("review.json"), reviewJson);
started = api("POST", "/run", payload)

job = nil
loop do
  job = api("GET", "/jobs/#{started["job_id"]}")
  break if %w[succeeded failed].include?(job["status"])
  sleep 1.5
end
raise (job["error"] || "run failed") if job["status"] == "failed"

raw = job["output"].is_a?(Hash) ? job["output"].fetch("output", job["output"]) : job["output"]
review = raw.is_a?(String) ? JSON.parse(raw) : raw

puts "#{review["review_name"]} [#{review["posture"]}]: #{review["verdict"]}"
review["inventory"].each { |r| puts "  #{r["kind"]}/#{r["name"]} (#{r["scope"]}): #{r["role"]}" }
review["findings"].each do |f|
  puts "  [#{f["priority"]}] #{f["id"]} #{f["category"]} #{f["resource"]}"
  puts "      L:#{f["likelihood"]}/S:#{f["severity"]} - #{f["fix"]}"
end
review["quick_wins"].each { |w| puts "  win: #{w}" }
review["focus_areas"].each { |a| puts "  focus #{a["area"]} #{a["finding_ids"].join(", ")}" }
review["coverage_check"].each { |c| puts "  #{c["id"]}: #{c["addressed"] ? "ok" : "SET ASIDE"}" }

File.write("review.json", JSON.pretty_generate(review))
exit 1 if review["findings"].any? { |f| f["priority"] == "critical" }
$started = api("POST", "/run", $payload);

do {
    sleep(2);
    $job = api("GET", "/jobs/" . $started["job_id"]);
} while (!in_array($job["status"], ["succeeded", "failed"]));

if ($job["status"] === "failed") {
    throw new Exception($job["error"] ?? "run failed");
}

$raw = is_array($job["output"]) ? ($job["output"]["output"] ?? $job["output"]) : $job["output"];
$review = is_string($raw) ? json_decode($raw, true) : $raw;

echo "{$review['review_name']} [{$review['posture']}]: {$review['verdict']}\n";
foreach ($review["inventory"] as $r) {
    echo "  {$r['kind']}/{$r['name']} ({$r['scope']}): {$r['role']}\n";
}
foreach ($review["findings"] as $f) {
    echo "  [{$f['priority']}] {$f['id']} {$f['category']} {$f['resource']}\n";
    echo "      L:{$f['likelihood']}/S:{$f['severity']} - {$f['fix']}\n";
}
foreach ($review["quick_wins"] as $w) {
    echo "  win: $w\n";
}
foreach ($review["focus_areas"] as $a) {
    echo "  focus {$a['area']}: " . implode(", ", $a["finding_ids"]) . "\n";
}
foreach ($review["coverage_check"] as $c) {
    echo "  {$c['id']}: " . ($c["addressed"] ? "ok" : "SET ASIDE") . "\n";
}

file_put_contents("review.json", json_encode($review, JSON_PRETTY_PRINT));
var started = await SkillSafe.ApiAsync(HttpMethod.Post, "/run", payload);
var jobId = started.GetProperty("job_id").GetString();

JsonElement job;
while (true)
{
    job = await SkillSafe.ApiAsync(HttpMethod.Get, $"/jobs/{jobId}");
    var status = job.GetProperty("status").GetString();
    if (status is "succeeded" or "failed") break;
    await Task.Delay(1500);
}

var rawText = job.GetProperty("output").GetProperty("output").GetString();
using var doc = JsonDocument.Parse(rawText!);
var review = doc.RootElement;

Console.WriteLine($"{review.GetProperty("review_name")} " +
                  $"[{review.GetProperty("posture")}]: {review.GetProperty("verdict")}");
foreach (var r in review.GetProperty("inventory").EnumerateArray())
{
    Console.WriteLine($"  {r.GetProperty("kind")}/{r.GetProperty("name")}: {r.GetProperty("role")}");
}
foreach (var f in review.GetProperty("findings").EnumerateArray())
{
    Console.WriteLine($"  [{f.GetProperty("priority")}] {f.GetProperty("id")} " +
                      $"{f.GetProperty("category")} {f.GetProperty("resource")} " +
                      $"(L:{f.GetProperty("likelihood")}/S:{f.GetProperty("severity")})");
}
foreach (var a in review.GetProperty("focus_areas").EnumerateArray())
{
    Console.WriteLine($"  focus {a.GetProperty("area")}: {a.GetProperty("why")}");
}

await File.WriteAllTextAsync("review.json", rawText!);

The model is asked for one JSON object and nothing else, but a stray code fence or preamble is always possible. Strip a leading ```json fence, take the text between the first { and the last }, and only then parse — that is what the app does before it falls back to a retry_note reformat run.

The review object — output schema

One JSON object, always the same shape. Every array is present, and the review is grounded in the pasted source alone: findings cite only agents, workflows, steps, tools and files that actually appear in code, and a construct that is simply absent (no .commit(), no storage on Memory, no scorer anywhere, no error handling in a tool) is reported against the closest real construct or against (missing from the project). Where the code is silent on something that changes the verdict you get an entry in assumptions and, if it would change the ranking, in open_questions. Expect five to fifteen findings on a typical project — a well-built one may honestly yield two or three, and findings is never empty.

FieldTypeMeaning
review_namestringA short title naming the project, taken from the code's own naming — e.g. support agent — mastra review.
posturestringship-ready | hardening-recommended | failure-prone. See the table below.
verdictstringOne sentence justifying the posture and naming the single most important change.
exec_summarystringTwo or three paragraphs, separated by blank lines, on the dominant themes across the project.
assumptionsstring[]Explicit assumptions filling gaps the code left open. Read these first — a wrong assumption invalidates the findings built on it.
open_questionsstring[]Questions whose answers would change the ranking.
inventoryarray{kind, name, scope, role} — every Agent, Workflow, Step, Tool, Memory, MCP, Scorer, Storage and Config construct the review parsed out of the code and the part it plays. scope is the file it is defined in.
findingsarrayThe prioritized findings table — ids MS-001, MS-002, … in sequence, at least one entry. Columns are listed below.
coverage_checkarray{id, addressed, note} — one entry per prescan_facts.flags id you sent, each appearing exactly once. See the semantics below.
quick_winsstring[]One-line changes worth doing immediately, ahead of any planning. May be empty when nothing here is a one-liner.
focus_areasarray{area, why, finding_ids} — what to work through first, one sentence tied to the review, and the finding ids that motivate it. Every id in finding_ids exists in findings.
summarystringClosing paragraph: what to fix first, and what risk remains after that.

The three posture values:

postureWhat it means
ship-readyThe project holds up as written: validated tool and step boundaries, persistent memory where conversation matters, keys from the environment, bounded loops, something measuring quality. Findings still exist, but they are additions and refinements — more scorers, tracing, suspend/resume checkpoints — not blockers. Genuinely well-built projects land here rather than having severity manufactured for them.
hardening-recommendedThe shape is right, but named gaps should be closed before real traffic — a tool boundary on z.any(), an undescribed tool, a missing scorer, console noise in library code.
failure-proneAt least one pattern will break, leak or run away with cost in production as written: a literal provider key in source, memory that evaporates on every deploy, an uncommitted workflow the code tries to run, an unbounded poll with paid calls inside it.

Each entry in findings:

ColumnMeaning
idSequential MS-001, MS-002, … — the stable handle referenced from focus_areas[].finding_ids.
categorycorrectness | reliability | security | maintainability | performance | cost. Weighted by the concern you sent, but never restricted to it.
severitylow | medium | high — how bad it is when it bites.
likelihoodlow | medium | high — how likely it is to bite.
prioritycritical | high | medium | low — severity by likelihood. critical is reserved for something that fails or costs at random in production (a literal key in source, an unvalidated boundary on an externally-triggered agent, an unbounded paid loop) or silently loses user data, so sort on this field and work top-down. This is also the field to gate a pipeline on.
resourceThe Agent/name, Workflow/name, Tool/name, Step/name or file this is about — always something that appears in code, or the literal (missing from the project) when the finding is about an absent construct.
problemWhat is wrong, in this code specifically.
impactWhat happens in production and to the team because of it.
fixThe concrete change to make — not "add validation".
snippetA corrected TypeScript fragment you can paste: the fixed block, correctly indented, using current Mastra APIs, not the whole file. Empty string when a snippet would add nothing. Secret values are never echoed — a placeholder appears instead.

coverage_check semantics:

CaseWhat you get
Every flag id you sentEach prescan_facts.flags id appears in coverage_check exactly once. Nothing you flagged is silently dropped, which makes this the field to assert on in a CI check. Ids in prescan_facts.resources are not reconciled here — they shape the inventory instead.
addressed: trueThe flag is covered by the review; note names the finding id that covers it.
addressed: falseThe flag was deliberately set aside; note gives the reason — a check that fired but is not a real problem for this project (a console.log in a one-off migration script, a storage-less Memory in a throwaway local demo agent).
Nothing sentOmit prescan_facts, or send the two empty arrays, and coverage_check comes back empty. The rest of the review is unaffected.

A small, realistic result for the snippet above, trimmed for length:

{
  "review_name": "helpdesk agent — mastra review",
  "posture": "hardening-recommended",
  "verdict": "The agent is sound in shape, but its Memory has no storage adapter, so every
              conversation is forgotten on restart — configure a store before real users
              talk to it.",
  "exec_summary": "A single, minimal agent whose one structural gap is persistence. new Memory()
                   with no storage keeps threads in process memory: it works in development,
                   then silently loses every conversation on the first deploy or scale-out.

                   The rest is reasonable for its size — a small model matched to a Q&A job and
                   a static instruction string — so the fix is additive, not a rewrite. The next
                   maturity step after storage is a scorer, so instruction edits become measurable.",
  "assumptions": [
    "OPENAI_API_KEY is provided by the environment, since no key appears in the code.",
    "The agent is registered in a Mastra instance in a file that was not pasted."
  ],
  "open_questions": [
    "Does this deploy to a long-lived server or serverless? Serverless makes the memory gap bite on every cold start.",
    "Are follow-up questions part of the product? If not, memory could be dropped instead of stored."
  ],
  "inventory": [
    { "kind": "Agent", "name": "helpdesk", "scope": "agent.ts",
      "role": "The only construct in the paste; answers product questions with conversation memory." },
    { "kind": "Memory", "name": "agent.ts:3", "scope": "agent.ts",
      "role": "Conversation memory for the helpdesk agent — currently unstored." }
  ],
  "findings": [
    { "id": "MS-001", "category": "reliability",
      "severity": "high", "likelihood": "high", "priority": "critical",
      "resource": "Memory/agent.ts:3",
      "problem": "new Memory() is constructed with no storage adapter, so conversation history
                 lives only in process memory.",
      "impact": "Every deploy, crash or scale-out wipes every user's conversation mid-thread;
                 on serverless it resets between invocations, so memory effectively never works.",
      "fix": "Configure a storage adapter on the Memory and keep the connection URL in the
              environment.",
      "snippet": "memory: new Memory({\n  storage: new LibSQLStore({ url: env.LIBSQL_URL }),\n  options: { lastMessages: 12 },\n})" },
    { "id": "MS-002", "category": "maintainability",
      "severity": "medium", "likelihood": "medium", "priority": "medium",
      "resource": "Agent/helpdesk",
      "problem": "The instructions are a single sentence — no boundaries, no output expectations,
                 no behaviour when the answer is unknown.",
      "impact": "The agent guesses at scope and tone, and behaviour drifts with every model
                 update because nothing pins it down.",
      "fix": "State the job, the boundaries and the failure behaviour in a few short lines.",
      "snippet": "instructions: [\n  \"You answer questions about our product.\",\n  \"If the docs do not cover it, say so - never guess.\",\n  \"Answer in at most two short paragraphs.\",\n].join(\"\\n\")" }
  ],
  "coverage_check": [
    { "id": "memory-no-storage:pasted-code-3", "addressed": true, "note": "MS-001." }
  ],
  "quick_wins": [
    "Add a LibSQLStore to the Memory — two lines, and history survives restarts."
  ],
  "focus_areas": [
    { "area": "Persistence",
      "why": "The only high-priority gap is memory that does not survive a restart.",
      "finding_ids": ["MS-001"] },
    { "area": "Instruction quality",
      "why": "A one-line prompt leaves scope and failure behaviour to chance.",
      "finding_ids": ["MS-002"] }
  ],
  "summary": "Give the Memory a store and tighten the instructions; after that this agent is
              ship-ready for its size, and the next investment is a relevancy scorer so future
              prompt edits are measured instead of guessed."
}

This is AI-generated review from source text, not a sign-off: it sees only what you sent, never a real run, real traffic or the rest of the codebase. Check assumptions and open_questions before you act on the rankings, run every snippet through your own tests and linter, and keep a human reviewer in the loop.

Step 5 — Stream the review as it is written

POST /run-stream

/run-stream takes exactly the same body as /run but answers with server-sent events, so you can show progress instead of a spinner — useful here because a full findings table with corrected code makes for a long reply. This app's own progress panel is this endpoint. Events are separated by a blank line; each has an event: line and a data: line carrying JSON.

EventPayloadMeaning
job{job_id, status}Sent once, when the job is accepted — show "starting".
delta{text}A chunk of the reply, in order. Append it; the accumulated length is your only progress signal (the total is not known in advance). The app advances its step list by watching for the "review_name", "inventory", "findings", "coverage_check" and "focus_areas" keys as they arrive.
done{job_id, status, charged_credits, output}The final, authoritative result — read the review from output.output rather than trusting concatenated deltas, and the settled price from charged_credits.
error{code, message}Replaces done when the run fails.
# -N disables buffering so events print as they arrive
curl -N -s -X POST "$API/run-stream" \
  -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" \
  -H "Idempotency-Key: ec-$(date +%s)" \
  -d @input.json

# event: job
# data: {"job_id":"job_...","status":"running"}
#
# event: delta
# data: {"text":"{\"review_name\":\"web"}
# ...
# event: done
# data: {"job_id":"job_...","status":"succeeded","charged_credits":612,"output":{"output":"{...}"}}
import json, requests

result = None
with requests.post(
    API + "/run-stream",
    headers={"Authorization": f"Bearer {TOKEN}",
             "Idempotency-Key": "ec-001"},
    json=payload,
    stream=True,
) as r:
    r.raise_for_status()
    event = None
    for line in r.iter_lines(decode_unicode=True):
        if not line:
            continue
        if line.startswith("event:"):
            event = line[len("event:"):].strip()
        elif line.startswith("data:"):
            data = json.loads(line[len("data:"):].strip())
            if event == "delta":
                print(".", end="", flush=True)          # live progress
            elif event == "done":
                result = data
            elif event == "error":
                raise RuntimeError(data.get("message", "run failed"))

review = json.loads(result["output"]["output"])          # authoritative
print("charged:", result["charged_credits"], "-", review["review_name"])
print("posture:", review["posture"])
for f in review["findings"]:
    print(f'  [{f["priority"]}] {f["id"]} {f["resource"]}: {f["problem"]}')
with open("review.json", "w", encoding="utf-8") as fh:
    json.dump(review, fh, indent=2)
const res = await fetch(API + "/run-stream", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${TOKEN}`,
    "Content-Type": "application/json",
    "Idempotency-Key": crypto.randomUUID(),
  },
  body: JSON.stringify(payload),
});

const reader = res.body.getReader();
const decoder = new TextDecoder();
let buf = "", done = null;

for (;;) {
  const chunk = await reader.read();
  if (chunk.done) break;
  buf += decoder.decode(chunk.value, { stream: true });
  const frames = buf.split("\n\n");
  buf = frames.pop();
  for (const frame of frames) {
    const name = /^event:\s*(.+)$/m.exec(frame)?.[1];
    const body = /^data:\s*(.+)$/m.exec(frame)?.[1];
    if (!name || !body) continue;
    const data = JSON.parse(body);
    if (name === "delta") process.stdout.write(".");   // live progress
    if (name === "done") done = data;
    if (name === "error") throw new Error(data.message ?? "run failed");
  }
}

const review = JSON.parse(done.output.output);
console.log(`\n${done.charged_credits} credits - ${review.review_name} [${review.posture}]`);
for (const f of review.findings) console.log(`  [${f.priority}] ${f.id} ${f.resource}`);
writeFileSync("review.json", JSON.stringify(review, null, 2));
body, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", API+"/run-stream", bytes.NewReader(body))
req.Header.Set("Authorization", "Bearer "+token)
req.Header.Set("Content-Type", "application/json")
req.Header.Set("Idempotency-Key", "ec-001")

res, err := http.DefaultClient.Do(req)
if err != nil {
	log.Fatal(err)
}
defer res.Body.Close()

var event string
var final map[string]any
sc := bufio.NewScanner(res.Body)
sc.Buffer(make([]byte, 0, 64*1024), 4*1024*1024)
for sc.Scan() {
	line := sc.Text()
	switch {
	case strings.HasPrefix(line, "event:"):
		event = strings.TrimSpace(strings.TrimPrefix(line, "event:"))
	case strings.HasPrefix(line, "data:"):
		var data map[string]any
		json.Unmarshal([]byte(strings.TrimPrefix(line, "data:")), &data)
		switch event {
		case "delta":
			fmt.Print(".") // live progress
		case "done":
			final = data
		case "error":
			log.Fatal(data["message"])
		}
	}
}
// final["output"].(map[string]any)["output"].(string) is the review JSON —
// unmarshal it into the Review struct from step 4, then write it to review.json.
// Java 17+ — read the stream line by line instead of buffering the body.
var req = HttpRequest.newBuilder(URI.create(API + "/run-stream"))
    .header("Authorization", "Bearer " + TOKEN)
    .header("Content-Type", "application/json")
    .header("Idempotency-Key", "ec-001")
    .POST(HttpRequest.BodyPublishers.ofString(jsonPayload))
    .build();

var res = HTTP.send(req, HttpResponse.BodyHandlers.ofLines());
String event = null, done = null;
for (String line : (Iterable<String>) res.body()::iterator) {
    if (line.startsWith("event:")) {
        event = line.substring(6).trim();
    } else if (line.startsWith("data:")) {
        String data = line.substring(5).trim();
        if ("delta".equals(event)) System.out.print(".");   // live progress
        else if ("done".equals(event)) done = data;
        else if ("error".equals(event)) throw new RuntimeException(data);
    }
}
// parse `done`, then parse data.output.output again — it is a JSON string holding
// review_name, posture, verdict, inventory[], findings[], coverage_check[],
// quick_wins[], focus_areas[] and the rest.
require "net/http"
require "json"

uri = URI(API + "/run-stream")
req = Net::HTTP::Post.new(uri)
req["Authorization"] = "Bearer #{TOKEN}"
req["Content-Type"] = "application/json"
req["Idempotency-Key"] = "ec-001"
req.body = payload.to_json

event = nil
done = nil
Net::HTTP.start(uri.host, uri.port, use_ssl: true) do |http|
  http.request(req) do |res|
    res.read_body do |chunk|
      chunk.each_line do |line|
        line = line.strip
        if line.start_with?("event:")
          event = line.delete_prefix("event:").strip
        elsif line.start_with?("data:")
          data = JSON.parse(line.delete_prefix("data:").strip)
          case event
          when "delta" then print "."           # live progress
          when "done"  then done = data
          when "error" then raise (data["message"] || "run failed")
          end
        end
      end
    end
  end
end

review = JSON.parse(done["output"]["output"])
puts "\n#{done["charged_credits"]} credits - #{review["review_name"]} [#{review["posture"]}]"
review["findings"].each { |f| puts "  [#{f["priority"]}] #{f["id"]} #{f["resource"]}" }
File.write("review.json", JSON.pretty_generate(review))
$event = null;
$done  = null;

$ch = curl_init(API . "/run-stream");
curl_setopt_array($ch, [
    CURLOPT_POST       => true,
    CURLOPT_HTTPHEADER => [
        "Authorization: Bearer $TOKEN",
        "Content-Type: application/json",
        "Idempotency-Key: ec-001",
    ],
    CURLOPT_POSTFIELDS => json_encode($payload),
    CURLOPT_WRITEFUNCTION => function ($ch, $chunk) use (&$event, &$done) {
        foreach (explode("\n", $chunk) as $line) {
            $line = trim($line);
            if (str_starts_with($line, "event:")) {
                $event = trim(substr($line, 6));
            } elseif (str_starts_with($line, "data:")) {
                $data = json_decode(trim(substr($line, 5)), true);
                if ($event === "delta") { echo "."; }        // live progress
                elseif ($event === "done") { $done = $data; }
                elseif ($event === "error") { throw new Exception($data["message"] ?? "run failed"); }
            }
        }
        return strlen($chunk);
    },
]);
curl_exec($ch);
curl_close($ch);

$review = json_decode($done["output"]["output"], true);
echo "\n{$done['charged_credits']} credits - {$review['review_name']} [{$review['posture']}]\n";
foreach ($review["findings"] as $f) {
    echo "  [{$f['priority']}] {$f['id']} {$f['resource']}\n";
}
file_put_contents("review.json", json_encode($review, JSON_PRETTY_PRINT));
var req = new HttpRequestMessage(HttpMethod.Post, Api + "/run-stream") {
    Content = JsonContent.Create(payload),
};
req.Headers.Add("Idempotency-Key", "ec-001");

using var res = await Http.SendAsync(req, HttpCompletionOption.ResponseHeadersRead);
using var reader = new StreamReader(await res.Content.ReadAsStreamAsync());

string? evt = null, done = null;
while (await reader.ReadLineAsync() is { } line)
{
    if (line.StartsWith("event:")) evt = line[6..].Trim();
    else if (line.StartsWith("data:"))
    {
        var data = line[5..].Trim();
        if (evt == "delta") Console.Write(".");            // live progress
        else if (evt == "done") done = data;
        else if (evt == "error") throw new Exception(data);
    }
}

using var final = JsonDocument.Parse(done!);
var text = final.RootElement.GetProperty("output").GetProperty("output").GetString();
using var reviewDoc = JsonDocument.Parse(text!);
var review = reviewDoc.RootElement;
Console.WriteLine($"{review.GetProperty("review_name")} [{review.GetProperty("posture")}]");
foreach (var f in review.GetProperty("findings").EnumerateArray())
    Console.WriteLine($"  [{f.GetProperty("priority")}] {f.GetProperty("id")} {f.GetProperty("resource")}");
await File.WriteAllTextAsync("review.json", text!);

In a browser, the native EventSource only speaks GET, and this endpoint is a POST — read the fetch response body incrementally, as the JavaScript sample above does. On an idempotent replay the server may answer with a plain JSON envelope instead of an event stream; check the Content-Type before you start parsing frames.