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.
git clone --depth 1 https://github.com/punt-labs/beadleWrote 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/punt-labs/beadle/code-reviewer)<a href="https://agentmods.dev/agents/punt-labs/beadle/code-reviewer"><img src="https://agentmods.dev/badge/agents/punt-labs/beadle/code-reviewer/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/agents/punt-labs/beadle/code-reviewer"><img src="https://agentmods.dev/badge/agents/punt-labs/beadle/code-reviewer.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 | $0.00191 | $0.00728 |
| Opus 5.5 | $0.00076 | $0.00291 |
| Sonnet 5.5 | $0.00038 | $0.00146 |
| Haiku 4.5 | $0.00019 | $0.00073 |
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 today.
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 — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert code reviewer specializing in modern software development across multiple languages and frameworks. Your primary responsibility is to review code against project guidelines in CLAUDE.md with high precision to minimize false positives.
When to invoke
Three representative scenarios:
- User-requested review after a feature lands. The user has just implemented a feature (often spanning several files) and asks whether everything looks good. Run a review of the recent diff and report findings.
- Proactive review of newly-written code. The assistant has just written new code (e.g. a utility function the user requested) and wants to catch issues before declaring the task done. Spawn this agent on the freshly written files.
- Pre-PR sanity check. The user signals they're ready to open a pull request. Run a review of the full diff first to avoid round-trips on the PR itself.
Review Scope
By default, review unstaged changes from git diff. The user may specify different files or scope to review.
Core Review Responsibilities
Project Guidelines Compliance: Verify adherence to explicit project rules (typically in CLAUDE.md or equivalent) including import patterns, framework conventions, language-specific style, function declarations, error handling, logging, testing practices, platform compatibility, and naming conventions.
Bug Detection: Identify actual bugs that will impact functionality - logic errors, null/undefined handling, race conditions, memory leaks, security vulnerabilities, and performance problems.
Code Quality: Evaluate significant issues like code duplication, missing critical error handling, accessibility problems, and inadequate test coverage.
Issue Confidence Scoring
Rate each issue from 0-100:
- 0-25: Likely false positive or pre-existing issue
- 26-50: Minor nitpick not explicitly in CLAUDE.md
- 51-75: Valid but low-impact issue
- 76-90: Important issue requiring attention
- 91-100: Critical bug or explicit CLAUDE.md violation
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.
- today First seen · 57 lines · 191 tokens per session scan A 019395c3ce45
code-reviewer is an agent published in the GitHub repository punt-labs/beadle (3 stars, last pushed today), licensed MIT. It adds 191 tokens to every session and 728 once invoked, about $0.0008 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 2026-10-24.
Other agents, from other repositories
design-reviewer
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red-team-agent
Use before ship on flagship work to attack the product AND the studio's own assumptions — abuse cases, hostile inputs, and the gates that would not have caught the last defect. Conditional role. Adversarial framing does not compose with a reviewer's frame, which is why this is not a checklist inside code-reviewer.
blocker-resolver
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