Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/codeaholicguy/ai-devkit/security-reviewnpx skills add codeaholicguy/ai-devkit --skill security-reviewgit clone --depth 1 https://github.com/codeaholicguy/ai-devkitWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00055 | $0.01114 |
| Opus 5 | $0.00028 | $0.00557 |
| Sonnet 5 | $0.00011 | $0.00223 |
| Haiku 4.5 | $0.00006 | $0.00111 |
Grade A, and why
security-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Review
Find vulnerabilities before they ship.
Hard Rules
- Do not dismiss a finding without evidence it is unexploitable.
- Do not commit, log, or surface secrets discovered during review — flag and recommend rotation.
- Do not modify code until the user approves a remediation plan.
Workflow
-
Scope
- Confirm target: diff, file set, module, full repo, or skill/prompt. A target can be both code and prompt.
- Identify stack/framework — adapt the checklist (skip what the framework handles, add its pitfalls).
- Trace data flow: request → middleware → handler → service → datastore → response. For prompts: input → template → LLM → tools → output.
- Map trust boundaries, privilege levels, and threat actors.
- Search prior findings:
npx ai-devkit@latest memory search --query "<target>" --tags "security"
-
Scan
- Only check relevant categories. Skip sections and items that don't apply. Do not report skipped items.
- For diffs/PRs: also check whether the change weakens existing controls — removed middleware, bypassed validation, new unprotected routes.
- Categories in priority order: a. Secrets — hardcoded tokens, keys, connection strings. b. Injection — SQL, NoSQL, command, template, SSRF, path traversal, XSS. c. Auth — missing checks, privilege escalation, OAuth/OIDC, IDOR. d. Business Logic — race conditions, TOCTOU, workflow bypass, mass assignment, parameter tampering. e. Data Exposure — PII in logs, verbose errors, overly broad responses. f. Resource Exhaustion — unbounded queries, missing pagination, upload size, decompression bombs. g. Dependencies — critical CVEs only (RCE, auth bypass, data breach); ignore low/medium. h. Cryptography — weak algorithms, hardcoded IVs/keys, disabled certificate validation. i. Configuration — debug mode, permissive CORS, missing security headers. j. Logging — security events unlogged, no tamper protection, no alerting. k. Prompt Injection — instruction override, tool abuse, data exfiltration, indirect injection via tool results.
- For each finding: file, line, evidence.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 85 lines · 55 tokens per session scan A f7c0feb4ba64
security-review is a skill published in the GitHub repository codeaholicguy/ai-devkit (1,601 stars, last pushed 2d ago), licensed MIT. It adds 55 tokens to every session and 1,114 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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