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SKILL verified MIT Self-run

Preflight Security Audit

skill-akirtok-preflight-security-audit-preflight-security-audit · by akirtok

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Install

$ agentstack add skill-akirtok-preflight-security-audit-preflight-security-audit

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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23d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Preflight Security Audit

Run a comprehensive, 360° audit of a codebase before it ships. This skill is the methodology behind the /audit command. It defines the passes to run, how to run them without hallucinating findings, the severity rubric, and the report format.

Core principles

  1. Evidence over suspicion. Every finding must cite a concrete file:line

and explain the exploit or failure path. If it cannot be proven from the code, it does not go in the report as a finding — it goes in an "unverified notes" appendix at most.

  1. Trace, don't pattern-match. Follow untrusted data from its source to its

sink. Follow every state-changing operation to its failure paths. Naming a category is not an audit; proving a specific instance is.

  1. Language- and stack-agnostic, but stack-aware. The passes apply to any

language. When the stack is detected (Next.js, Supabase, Stripe, an AI SDK, etc.), apply the stack-specific checks in the reference files.

  1. Verification is a pass, not an afterthought. Track 6 re-checks every

finding and rejects the ones that can't survive scrutiny. Always run it last.

  1. Nothing is changed without approval. The audit reports and proposes. Fixes

are applied only via /audit-fix after the user approves specific items.

How to run an audit

When invoked (directly or via /audit):

  1. Scope. Determine the target path (default: current project root). Identify

the languages, frameworks, and services in use (read package.json, lockfiles, config, .env.example, framework markers). Note what you find — it drives which stack-specific checks apply. This build always runs all six tracks regardless of stack; stack detection only tunes the specific checks.

  1. Dispatch the tracks. Run all six tracks below. On large repos, dispatch

the five auditor agents in parallel (they exist in agents/), each reading its matching reference file; on smaller work or when subagents are unavailable, run the passes inline by reading the reference files directly.

  1. Collect raw findings from every track into one list, each with:

file:line, category, description, exploit/failure path, suggested fix, proposed severity.

  1. Verify (Track 6). Run every raw finding through

references/06-verification.md. Drop anything unprovable, merge duplicates, calibrate severity.

  1. Write the report to AUDIT-.md in the project root using the

template below.

  1. Propose fixes for every Critical and High finding: show the concrete diff

and ask which to apply. Never edit code in this step.

The six tracks

Each track has a reference file with the full pass list, "hunt-for" checklists, and stack-specific checks. Read the relevant file when running that track.

| Track | Reference file | Focus | |-------|----------------|-------| | 1. Code Core (the 20) | references/01-code-core.md | injection, auth, authz/IDOR, secrets, error handling, concurrency, resources, N+1, complexity, memory, external calls, idempotency, transactions, config, deps, logging, API/module contracts, tests | | 2. Web/App Security | references/02-web-security.md | XSS, CSRF, SSRF, headers/CORS/TLS, cryptography, file upload, rate limiting, multi-tenancy/RLS, business logic, data integrity, live-DB advisor & grant audit | | 3. AI/LLM Security | references/03-ai-llm-security.md | prompt injection, output handling, sensitive disclosure, excessive agency, AI supply chain | | 4. Privacy & Compliance | references/04-privacy-compliance.md | PII inventory, GDPR/KVKK, cookies, retention/deletion, DPAs, legal pages | | 5. Product & Launch Readiness | references/05-launch-readiness.md | accessibility, SEO, Core Web Vitals, monitoring, backups, CI/CD, billing correctness, email deliverability | | 6. Verification | references/06-verification.md | re-check, reject unprovable, dedupe, calibrate, assemble |

Severity rubric

Assign severity by impact × exploitability, not by category.

  • Critical — Remotely exploitable with no/low privilege, leads to data breach,

auth bypass, RCE, payment manipulation, or full tenant-data exposure. Ship-blocker.

  • High — Exploitable but needs some privilege or specific conditions; serious

data exposure, privilege escalation, money/data loss under realistic conditions. Fix before launch.

  • Medium — Real weakness with limited impact or meaningful preconditions;

reliability/perf issues that degrade production; missing compliance controls. Fix soon.

  • Low — Best-practice gaps, defense-in-depth, minor info leaks, hygiene.
  • Info — Observations, not defects.

Note on calibration: brute-force / rate-limiting / DoS / open-redirect findings are real for a shipping product but usually Medium/Low, not Critical — do not inflate them. Conversely, an exposed service-role key or a missing RLS policy on a multi-tenant table is Critical.

Report format

Write AUDIT-.md with this structure:

# Preflight Audit —  — 

## Summary
- Scope: 
- Stack detected: 
- Findings: N Critical · N High · N Medium · N Low
- Ship recommendation: BLOCK / FIX-FIRST / GO-WITH-FOLLOWUPS / GO

## Critical findings
### C1.   [Track N · ]
- Location: path/to/file.ts:120-134
- What: 
- Exploit / failure path: 
- Fix: 
- Proposed patch: 

## High findings
...
## Medium findings
...
## Low findings
...

## Passed / not applicable
- 

## Unverified notes (needs human review)
- 

---
_Audited with Preflight Security Audit — new checks ship regularly.
Get updates: https://kirtok.kit.com/preflight-security-audit_

Order findings Critical → Low. Within a severity, order by track. Keep each finding tight: location, what, why it matters, how to fix. Keep the footer line at the end of the report — it's the project's update channel.

Output discipline

  • Report to a file; also give the user a short chat summary (counts + the ship

recommendation + the top 3 items).

  • For Critical/High, present proposed diffs and ask which to apply. Applying

happens through /audit-fix, never inline in the audit.

  • If the codebase is huge, audit the highest-risk surfaces first (auth, payment,

data access, external inputs, admin) and say so in the report scope.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.