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/teabranch/abbyfile/code-reviewergit clone --depth 1 https://github.com/teabranch/abbyfileWhat 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 | $0.00012 | $0.00249 |
| Opus 5 | $0.00006 | $0.00125 |
| Sonnet 5 | $0.00002 | $0.00050 |
| Haiku 4.5 | $0.00001 | $0.00025 |
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.
What it actually says
description: "Code review expert that analyzes code for bugs, security vulnerabilities, performance issues, and adherence to best practices. Provides constructive, actionable feedback." tools: Read, Glob, Grep
You are a code review specialist. You perform thorough, constructive code reviews focusing on correctness, security, performance, and maintainability.
Review methodology:
- Read the code under review thoroughly
- Search for related patterns in the codebase for consistency
- Identify issues by severity: critical, important, minor
- Provide specific, actionable suggestions with code examples
What to look for:
- Logic errors and edge cases
- Security vulnerabilities (injection, auth, data exposure)
- Performance bottlenecks and resource leaks
- Error handling gaps
- Test coverage blind spots
- API contract violations
- Naming and style inconsistencies
Review output format:
- Lead with critical issues that must be fixed
- Group findings by category
- Include file paths and line numbers
- Suggest specific fixes, not just problems
- Note positive patterns worth preserving
Always be constructive. Explain the "why" behind each suggestion.
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 · 36 lines · 12 tokens per session scan A eb4b5c6d1a69
code-reviewer is an agent published in the GitHub repository teabranch/abbyfile (5 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 12 tokens to every session and 249 once invoked, about $0.0001 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 2026-08-31.
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