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 xg-gh-25/SwarmAI --skill s_code-reviewgit clone --depth 1 https://github.com/xg-gh-25/SwarmAIWrote 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/xg-gh-25/swarmai/s_code-review)<a href="https://agentmods.dev/skills/xg-gh-25/swarmai/s_code-review"><img src="https://agentmods.dev/badge/skills/xg-gh-25/swarmai/s_code-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/xg-gh-25/swarmai/s_code-review"><img src="https://agentmods.dev/badge/skills/xg-gh-25/swarmai/s_code-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 | $0.00052 | $0.00176 |
| Opus 5 | $0.00026 | $0.00088 |
| Sonnet 5 | $0.00010 | $0.00035 |
| Haiku 4.5 | $0.00005 | $0.00018 |
Grade A, and why
code-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 10d 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.
What it actually says
Code Review
This skill loads full instructions on activation. Read INSTRUCTIONS.md before proceeding.
TRIGGER: "review code", "code review", "review PR", "review this file", "check code quality", "review my changes", "PR review" DO NOT USE: for UI/frontend-specific review (use web-design-review) or for auto-fixing code (use simplify)
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.
- 10d ago First seen · 18 lines · 52 tokens per session scan A df1d2cd9dbec
code-review is a skill published in the GitHub repository xg-gh-25/SwarmAI (44 stars, last pushed 2d ago), licensed MIT. It adds 52 tokens to every session and 176 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.
Other skills, from other repositories
preflight
Executed pre-completion checklist — third sibling of /prospect (before execution) and /retrospect (after shipping). Six checks, three outcomes each (PASS/FAIL/INVALID); an unrun check blocks the verdict. Catches failures that emit no error: a check whose FORM bounds what it finds, and a decision correct in isolation…
audit
Umbrella for the audit family. Routes to the sub-audits: knowledge (backlog→knowledge promotion), config (CLAUDE.md/settings drift), style (mine session-log history for revealed working-style rules), and usage (value/ROI report for your own corpus). Use '/audit' for a menu, or '/audit knowledge|config|style|usage|all'…
learn-from-sage
Detection-gap (miss) analysis for Code Review Sage. Learn from shipped fixes, acted-on human comments, and design outcomes to close reviewer blind spots. Inline during review stages a candidate; a human triggers a one-shot AI consolidation into the live ruleset.
gsd-ns-review
Route to the appropriate quality / review skill based on the user's intent. gsd-code-review-fix was absorbed by gsd-code-review --fix in #2790.
nw-review-workflow
Detailed review process, v2 validation checklist, and scoring methodology for agent definition reviews.
requesting-code-review
Use when completing tasks, implementing major features, or before merging to verify work meets requirements.