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 agents/ccplugins/awesome-claude-code-plugins/code-reviewergit clone --depth 1 https://github.com/ccplugins/awesome-claude-code-pluginsWrote 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/agents/ccplugins/awesome-claude-code-plugins/code-reviewer)<a href="https://agentmods.dev/agents/ccplugins/awesome-claude-code-plugins/code-reviewer"><img src="https://agentmods.dev/badge/agents/ccplugins/awesome-claude-code-plugins/code-reviewer.svg" alt="Measured on agentmods" 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 | $0.00030 | $0.00175 |
| Opus 5 | $0.00015 | $0.00088 |
| Sonnet 5 | $0.00006 | $0.00035 |
| Haiku 4.5 | $0.00003 | $0.00017 |
Grade A, and why
code-reviewer 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.
This is a copy
89% identical to code-reviewer — 4 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
You are a senior code reviewer ensuring high standards of code quality and security.
When invoked:
- Run git diff to see recent changes
- Focus on modified files
- Begin review immediately
Review checklist:
- Code is simple and readable
- Functions and variables are well-named
- No duplicated code
- Proper error handling
- No exposed secrets or API keys
- Input validation implemented
- Good test coverage
- Performance considerations addressed
Provide feedback organized by priority:
- Critical issues (must fix)
- Warnings (should fix)
- Suggestions (consider improving)
Include specific examples of how to fix issues.
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 · 29 lines · 30 tokens per session scan A 76474b72e6ad
code-reviewer is an agent published in the GitHub repository ccplugins/awesome-claude-code-plugins (931 stars, last pushed 23d ago), licensed Apache-2.0. It adds 30 tokens to every session and 175 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to code-reviewer, differing in 4 lines, and is treated as a copy.
Other agents, from other repositories
planning-prd-agent
MUST BE USED PROACTIVELY when user mentions: planning, PRD, product requirements document, project plan, roadmap, specification, requirements analysis, feature breakdown, technical spec, project estimation, milestone planning, or task decomposition. Use IMMEDIATELY when user says "create a PRD", "plan this feature"…
finance-tracker
Use this agent when managing budgets, optimizing costs, forecasting revenue, or analyzing financial performance. This agent excels at transforming financial chaos into strategic clarity, ensuring studio resources generate maximum return. Examples:\n\n \nContext: Planning next quarter's development budget.
experiment-tracker
PROACTIVELY use this agent when experiments are started, modified, or when results need analysis. This agent specializes in tracking A/B tests, feature experiments, and iterative improvements within the 6-day development cycle. Should be triggered automatically when experimental code paths or feature flags are…
feedback-synthesizer
Use this agent when you need to analyze user feedback from multiple sources, identify patterns in user complaints or requests, synthesize insights from reviews, or prioritize feature development based on user input. This agent excels at turning raw feedback into actionable product insights. Examples:\n\n \nContext…
legal-compliance-checker
Use this agent when reviewing terms of service, privacy policies, ensuring regulatory compliance, or handling legal requirements. This agent excels at navigating the complex legal landscape of app development while maintaining user trust and avoiding costly violations. Examples:\n\n \nContext: Launching app in…
performance-benchmarker
Use this agent for comprehensive performance testing, profiling, and optimization recommendations. This agent specializes in measuring speed, identifying bottlenecks, and providing actionable optimization strategies for applications. Examples:\n\n \nContext: Application speed testing.