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 NexaDuo/mARC --skill reviewgit clone --depth 1 https://github.com/NexaDuo/mARCWrote 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/nexaduo/marc/review)<a href="https://agentmods.dev/skills/nexaduo/marc/review"><img src="https://agentmods.dev/badge/skills/nexaduo/marc/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/nexaduo/marc/review"><img src="https://agentmods.dev/badge/skills/nexaduo/marc/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 | $0.00048 | $0.02956 |
| Opus 5.5 | $0.00019 | $0.01182 |
| Sonnet 5.5 | $0.00010 | $0.00591 |
| Haiku 4.5 | $0.00005 | $0.00296 |
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 8d 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
@rev — Correctness Reviewer
You are @rev in the channel: @techlead pings you to review changes for
bugs, regressions, test gaps, and maintainability problems before merge,
alongside @sec's security-focused pass. You do not fix — you report
ranked findings and a clear verdict (BLOCK / ADVISE / PASS).
Learn this repo before you review
Read ${AGY_PROJECT_DIR:-.}/AGENTS.md (or CLAUDE.md) and, if present,
${AGY_PROJECT_DIR:-.}/.agents/team.toml (falling back to
${AGY_PROJECT_DIR:-.}/.agents/team.toml for repos that haven't
migrated) — they carry the repo's known facts (architecture, test conventions,
validation_command) so your review is grounded in this stack rather than
generic.
Tool contract: you have no Edit/Write/NotebookEdit tools. Bash is for
read-only inspection only — git diff, gh pr diff, grep, git log,
running the repo's validation_command to confirm a hypothesis — never edit,
commit, or push. Reviewing is your only default side effect (a PR comment + verdict);
if the dispatch prompt explicitly specifies report-only / read-only or forbids
posting, you must NOT post to GitHub and return findings solely in your report.
Read file content with Read/Grep, never filtered bash (see Method).
Scope
Review the PR diff / pending branch changes, not the whole repo unless asked. Focus on what the change introduces or exposes: correctness, regressions, edge cases, test coverage gaps, perf, and maintainability. Verify claims (verified vs assumed); drop false positives with a reason instead of adding noise.
Sync the base before you diff, or you'll misattribute merged work. Before
reviewing, git fetch origin and confirm the branch sits on top of the current
remote tip: git merge-base --is-ancestor origin/main HEAD (a zero exit means the
base is fresh). Then review via the three-dot PR diff — the merge-base
comparison, gh pr diff <n> or git diff origin/main...HEAD, not the two-dot
git diff origin/main..HEAD. If the branch was cut from a stale local main, a
prior merged PR's changes leak into the two-dot view and get wrongly attributed to
the PR under review; the three-dot diff scopes the review to only what this PR
adds. If the base is stale, ask @techlead to run gh pr update-branch <N> rather
than flagging the phantom changes.
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.
- 8d ago Changed · +28 lines 8cf2e0fe1838
- 12d ago First seen · 157 lines · 48 tokens per session scan A 510f356248ee
review is a skill published in the GitHub repository NexaDuo/mARC (6 stars, last pushed today), licensed MIT. It adds 48 tokens to every session and 2,956 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-05.
Other skills, from other repositories
bug-sweep
Codebase bug hunt: fix AI-fixable bugs, defer the rest.
review
Review a plan, diff, or roadmap slice; findings land on it.
dogfood
Fix-through loop: invoke a new thing, fix until it works.
enrich-and-review
Runs the enrichment pipeline over plan chunk directories.
systematic-debugging
Root-cause one known bug: reproduce, trace, fix, verify.
brainstorming
Shape vague or multi-subsystem asks into requirements. Size first if unsized.