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 skills add kucherenko/gangsta --skill audit-reviewgit clone --depth 1 https://github.com/kucherenko/gangstaWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/kucherenko/gangsta/audit-review)<a href="https://agentmods.dev/skills/kucherenko/gangsta/audit-review"><img src="https://agentmods.dev/badge/skills/kucherenko/gangsta/audit-review/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kucherenko/gangsta/audit-review"><img src="https://agentmods.dev/badge/skills/kucherenko/gangsta/audit-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What 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 5.1 | $0.00030 | $0.00768 |
| Opus 5 | $0.00015 | $0.00384 |
| Sonnet 5 | $0.00006 | $0.00154 |
| Haiku 4.5 | $0.00003 | $0.00077 |
Grade A, and why
audit-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The Audit: Requesting Code Review
Overview
Dispatch the-inspector to catch issues before they compound. The inspector gets precisely crafted context for evaluation — never the session's history. This keeps the inspector focused on the work product, not the thought process, and preserves your context for continued work.
Core principle: Audit early, audit often.
When to Request
Mandatory:
- After each task in parallel execution (The Hit)
- After completing a major feature
- Before merge to main
Optional but valuable:
- When stuck (fresh perspective)
- Before refactoring (baseline check)
- After fixing complex bug
How to Request
1. Get Git SHAs
BASE_SHA=$(git rev-parse HEAD~1) # or origin/main
HEAD_SHA=$(git rev-parse HEAD)
2. Dispatch the-inspector
Use the Task tool to dispatch the the-inspector agent with subagent_type: "the-inspector". Do NOT use "general" or "general-purpose" — these are not valid in a Gangsta Agents installation.
Fill the template at the-inspector-prompt.md in this skill directory with the following placeholders:
{WHAT_WAS_IMPLEMENTED}— What you just built{PLAN_OR_REQUIREMENTS}— What it should do (Contract clause, spec section){BASE_SHA}— Starting commit{HEAD_SHA}— Ending commit{DESCRIPTION}— Brief summary of the changes
3. Act on Findings
| Severity | Action |
|---|---|
| Critical | Fix immediately. Do not proceed until resolved. |
| Important | Fix before proceeding to the next task. |
| Minor | Note for later. Don't block progress. |
| Wrong | Push back with technical reasoning. |
Example
[Just completed implementing auth middleware]
1. Get SHAs:
BASE_SHA=$(git log --oneline | grep "previous task" | head -1 | awk '{print $1}')
HEAD_SHA=$(git rev-parse HEAD)
2. Dispatch the-inspector:
WHAT_WAS_IMPLEMENTED: JWT auth middleware with role-based access
PLAN_OR_REQUIREMENTS: Contract section 3.2 — Authentication
BASE_SHA: a7981ec
HEAD_SHA: 3df7661
DESCRIPTION: Added auth middleware, role guards, token validation
3. Inspector returns:
Strengths: Clean separation, real tests
Issues:
Important: Missing token expiry check
Minor: Magic number for token TTL
Assessment: Ready with fixes
4. Fix important issue, proceed to next task.
What ships with it
1 file 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.
- 12d ago First seen · 104 lines · 30 tokens per session scan A df87d7a90959
audit-review is a skill published in the GitHub repository kucherenko/gangsta (81 stars, last pushed 29d ago), licensed MIT. It adds 30 tokens to every session and 768 once invoked, about $0.0002 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.
Other skills, from other repositories
cocoreview
CocoReview — structured code review with six-severity findings vocabulary, progressive disclosure architecture, and universal anti-pattern baseline. Invoked via $review [file] [--complexity] [--security] [--architecture] [--language ].
sentinel
CocoSentinel — eight-dimension artifact quality gate. Dimension G evidence pre-gate runs first (deterministic, .
review
Enter the Review phase of CocoBrew. Aggregates findings from Code Quality Advisor, CocoCupper intelligence, spec compliance check, and decision coverage gate. Produces review.md with decision points. Requires developer approval before $ship can proceed.
lean-review
CocoLean diff-scoped over-engineering audit — scans uncommitted git diff and applies five classification tags (delete/stdlib/native/yagni/shrink) to identify unnecessary surface area before commit.
sentinel-approve
CocoSentinel approval — records SHA-bound approval for a previously evaluated artifact. Invoked via $sentinel --approve [file]. Voids automatically if the artifact is modified after approval.
sentinel-report
CocoSentinel report — displays evaluation history and approval status for artifacts in the project. Invoked via $sentinel --report.