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 CES-Ltd/Lumi --skill skill-code-reviewgit clone --depth 1 https://github.com/CES-Ltd/LumiWrote 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/ces-ltd/lumi/skill-code-review)<a href="https://agentmods.dev/skills/ces-ltd/lumi/skill-code-review"><img src="https://agentmods.dev/badge/skills/ces-ltd/lumi/skill-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/ces-ltd/lumi/skill-code-review"><img src="https://agentmods.dev/badge/skills/ces-ltd/lumi/skill-code-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 | $0.00015 | $0.02640 |
| Opus 5.5 | $0.00006 | $0.01056 |
| Sonnet 5.5 | $0.00003 | $0.00528 |
| Haiku 4.5 | $0.00002 | $0.00264 |
Grade A, and why
skill-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 1mo 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
91% identical to skill-code-review — 36 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.
How it starts
The opening of the file, as written. The whole thing — 305 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Review Skill
MANDATORY COMPLIANCE — DO NOT SKIP
When this skill is invoked, you MUST execute the multi-LLM review pipeline. You are PROHIBITED from:
- Doing a direct single-model code review without multi-provider synthesis
- Deciding the scope is "too broad" and narrowing it without asking the user
- Skipping the provider check or structured review phases
- Substituting two background Sonnet agents for the full multi-provider pipeline
- Rationalizing "a focused audit would be more effective" — the user wants multi-LLM perspectives
Your first output line MUST be: 🐙 **CLAUDE OCTOPUS ACTIVATED** - Multi-LLM Code Review
Invokes the code-reviewer persona for thorough code analysis during the ink (deliver) phase.
Quick Mode
For fast sanity checks (staged changes, small PRs), skip the full review pipeline and run just two phases:
# Quick: grasp (consensus on scope) → tangle (parallel review)
${HOME}/.claude-octopus/plugin/scripts/orchestrate.sh grasp "[review request]"
${HOME}/.claude-octopus/plugin/scripts/orchestrate.sh tangle "[synthesized scope]"
Use quick mode when user says "check this PR", "quick review", "sanity check my changes", or for pre-commit checks. Use the full review for PRs with security/architecture impact.
Usage
# Via orchestrate.sh
${HOME}/.claude-octopus/plugin/scripts/orchestrate.sh spawn code-reviewer "Review this pull request for security issues"
# Via auto-routing (detects review intent)
${HOME}/.claude-octopus/plugin/scripts/orchestrate.sh auto "review the authentication implementation"
Capabilities
- AI-powered code quality analysis
- Security vulnerability detection
- Performance optimization suggestions
- Architecture and design pattern review
- TDD compliance and test-first evidence review
- Autonomous code generation risk detection
- Best practices enforcement
Persona Reference
This skill wraps the code-reviewer persona defined in:
agents/personas/code-reviewer.md- CLI:
codex-review - Model:
gpt-5.2-codex - Phases:
ink
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.
- 1mo ago First seen · 305 lines · 15 tokens per session scan A ec7330335da4
skill-code-review is a skill published in the GitHub repository CES-Ltd/Lumi (38 stars, last pushed 5mo ago), licensed MIT. It adds 15 tokens to every session and 2,640 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to skill-code-review, differing in 36 lines, and is treated as a copy.
Other skills, from other repositories
pr-review
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feedback-builder
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pr-triage
First-touch triage for external pull requests - verdict, label, and a welcoming comment within minutes of open.
[REPLACE: SKILL_NAME]
First-touch review of newly opened PRs on [REPLACE: WATCHEDREPO] — verdict + welcoming comment + label.
vuln-scanner
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token-movers
Crypto market scanner and single-token analyst - movers scans top winners/losers/trending or on-chain runners with pump-risk flags; single-token produces a verdict-first deep report for one token.