Borrowing it
Nothing to install: this file belongs to kirti12025/gitlab-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/kirti12025/gitlab-mcp/custom-tool-pipeline-summary/.github/skills/review/SKILL.mdgit clone --depth 1 https://github.com/kirti12025/gitlab-mcpWrote 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/kirti12025/gitlab-mcp/review)<a href="https://agentmods.dev/skills/kirti12025/gitlab-mcp/review"><img src="https://agentmods.dev/badge/skills/kirti12025/gitlab-mcp/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/kirti12025/gitlab-mcp/review"><img src="https://agentmods.dev/badge/skills/kirti12025/gitlab-mcp/review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00026 | $0.00200 |
| Opus 5 | $0.00013 | $0.00100 |
| Sonnet 5 | $0.00005 | $0.00040 |
| Haiku 4.5 | $0.00003 | $0.00020 |
Grade A, and why
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 9d 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.
This is a copy
100% identical to review — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Review
Systematic code review with severity-rated feedback.
Modes
- Default: Full two-stage review (spec compliance + code quality)
--style: Lightweight style-only checks--performance: Performance analysis and hotspot identification--quality: Release readiness and quality gate assessment
Workflow
- Delegate to @code-reviewer for spec compliance + code quality
- Delegate to @security-reviewer for vulnerability detection
- Compile findings with severity ratings
Output
- Issues rated: CRITICAL / HIGH / MEDIUM / LOW
- Each issue includes file:line, description, and fix suggestion
- Clear verdict: APPROVE / REQUEST CHANGES / COMMENT
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.
- 9d ago First seen · 28 lines · 26 tokens per session scan A 85d032958a3e
review is a skill published in the GitHub repository kirti12025/gitlab-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 200 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to review, differing in 0 lines, and is treated as a copy.
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