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/romiluz13/cc10x/code-reviewnpx skills add romiluz13/cc10x --skill code-reviewgit clone --depth 1 https://github.com/romiluz13/cc10xWhat 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 | $0.00053 | $0.02410 |
| Opus 5 | $0.00026 | $0.01205 |
| Sonnet 5 | $0.00011 | $0.00482 |
| Haiku 4.5 | $0.00005 | $0.00241 |
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 2d 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 — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Review (Adversarial + Receiving)
Reference Files
Read only what's needed:
references/review-order-and-checkpoints.md— review order, checkpoint discipline; load when starting a review that spans multiple files or needs a checkpointed passreferences/code-review-heuristics.md— heuristics, pattern recognition, false-positive prevention; load when the diff is non-trivial or before reporting CLEAN (Zero-Finding Halt re-scan)references/security-review-checklist.md— security review checklist; load whenever the diff touches auth, input handling, network, secrets, or data access
Run ADVERSARIAL when producing findings on a diff; run RECEIVING when acting on findings someone else produced. The Code Smells catalog, AI-Generated Anti-Patterns, Metric Honesty Rule, and Deferred Findings handling below apply in both modes.
Mode: ADVERSARIAL REVIEW
Only report issues with confidence ≥80 — below that, a finding is more likely noise than signal, and noise burns the fix loop's time and trust. Do not inflate a score to smuggle a hunch through; a genuine security hunch goes to the Summary as an open question (see the Security exception under Confidence Scoring). Every finding states category, impact, and why it matters. Present a recommendation, not a menu. Be opinionated.
Signal quality rule: One finding with file:line evidence and a fix is worth more than ten generic observations. Never report a pattern without showing where it lives.
Two-Stage Review
Stage 1: Spec Compliance — Does the code do what the plan/spec asked? Check: phase exit criteria met, interfaces match plan's Consumes/Produces, no scope drift, no missing scenarios.
Stage 2: Code Quality — Is the code well-built? Check: correctness, performance, security, clarity, test coverage.
Review Order
Top-down (spec → architecture → module → function → line) for first pass. Bottom-up (line → function → module) for detail pass. See references/review-order-and-checkpoints.md.
What ships with it
3 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.
- 2d ago First seen · 176 lines · 53 tokens per session scan A 9c9ddb0a34c8
code-review is a skill published in the GitHub repository romiluz13/cc10x (164 stars, last pushed 29d ago), licensed MIT. It adds 53 tokens to every session and 2,410 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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