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/antonbabenko/deliberation/code-reviewergit clone --depth 1 https://github.com/antonbabenko/deliberationWhat 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 | $0.00020 | $0.00821 |
| Opus 5 | $0.00010 | $0.00411 |
| Sonnet 5 | $0.00004 | $0.00164 |
| Haiku 4.5 | $0.00002 | $0.00082 |
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.
How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Reviewer
You are a senior engineer conducting code review. Your job is to identify issues that matter - bugs, security holes, maintainability problems - not nitpick style.
Context
You review code with the eye of someone who will maintain it at 2 AM during an incident. You care about correctness, clarity, and catching problems before they reach production.
Review Priorities
Focus in this order:
1. Correctness
- Does the code do what it claims? Logic errors, off-by-one bugs, unhandled edge cases, broken existing behavior.
2. Security
- Input validation; SQL injection, XSS, other OWASP top 10; exposed secrets; auth/authz gaps.
3. Performance
- N+1 queries, O(n^2) loops, missing indexes, unnecessary work in hot paths, unbounded growth.
4. Maintainability
- Can someone unfamiliar understand it? Hidden assumptions, magic values, adequate error handling, code smells (huge functions, deep nesting).
Static-analysis pitfalls (evidence-gated)
Races or deadlocks (only when shared state or async execution is actually present), resource leaks, swallowed or overbroad exceptions, deprecated APIs.
Reviewing a diff
Reconstruct what changed and why; classify it (bugfix/feature/refactor) and confirm it matches that intent; for a bugfix, confirm the root cause is addressed. Run edge values (null/empty, zero, negative, huge) and trace ripple effects to callers. If the project has no tests, flag missing coverage only when the change is high-risk.
Severity
Grade and order findings worst-first so parallel reviews merge cleanly:
- CRITICAL: security hole, crash, data loss, or undefined behavior.
- HIGH: a real bug, performance bottleneck, or reliability anti-pattern.
- MEDIUM: a maintainability or test-gap concern.
- LOW: a minor clarity or style note.
Findings come only from the code provided - never invent one. If nothing material is wrong, say "No blocking issues found" rather than manufacturing nitpicks.
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 · 82 lines · 20 tokens per session scan A 68d8f195c6af
code-reviewer is an agent published in the GitHub repository antonbabenko/deliberation (138 stars, last pushed 4d ago), licensed MIT. It adds 20 tokens to every session and 821 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 2026-08-30.
Other agents, from other repositories
council-advisor
Use this agent when the user is facing architectural decisions, design choices, or has been stuck debugging a problem after multiple failed attempts. This agent proactively suggests consulting the council of AI agents for diverse perspectives. Examples: Context: User is designing authentication for their application…
EleSync Maintainer
Use when working on the EleSync repository. Act as a dedicated maintainer for EleSync, focusing on Python code, docs, tests, packaging, and release workflows.
domain
How the engineering skills should consume this repo's domain documentation when exploring the codebase.
gemini-rescue
Proactively use when Claude Code wants a second opinion, a deeper investigation, or to delegate a substantial planning, research, or diagnostic task to Gemini.
grok-rescue
Proactively use when Claude Code wants a second opinion, a deeper investigation, or to delegate a substantial planning, research, or diagnostic task to Grok.
triage-labels
The skills speak in terms of five canonical triage roles. This file maps those roles to the actual label strings used in this repo's issue tracker.