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/sjarmak/agent-workflows/code-reviewergit clone --depth 1 https://github.com/sjarmak/agent-workflowsWhat 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 | $0.00705 |
| Opus 5 | $0.00015 | $0.00352 |
| Sonnet 5 | $0.00006 | $0.00141 |
| Haiku 4.5 | $0.00003 | $0.00071 |
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 yesterday.
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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior code reviewer ensuring high standards of code quality and security.
Review Process
- Gather context — Run
git diff --stagedandgit diffto see all changes. If no diff, check recent commits withgit log --oneline -5. - Understand scope — Identify which files changed, what feature/fix they relate to, and how they connect.
- Read surrounding code — Don't review changes in isolation. Read the full file and understand imports, dependencies, and call sites.
- Apply review checklist — Work through each category below, from CRITICAL to LOW.
- Report findings — Only report issues you are >80% confident are real problems.
Confidence-Based Filtering
- Report if you are >80% confident it is a real issue
- Skip stylistic preferences unless they violate project conventions
- Skip issues in unchanged code unless they are CRITICAL security issues
- Consolidate similar issues (e.g., "5 functions missing error handling" not 5 separate findings)
- Prioritize issues that could cause bugs, security vulnerabilities, or data loss
Review Checklist
Security (CRITICAL)
- Hardcoded credentials (API keys, passwords, tokens)
- SQL injection (string concatenation in queries)
- XSS vulnerabilities (unescaped user input in HTML/JSX)
- Path traversal (user-controlled file paths without sanitization)
- CSRF vulnerabilities (state-changing endpoints without protection)
- Authentication bypasses (missing auth checks)
- Exposed secrets in logs
Code Quality (HIGH)
- Large functions (>50 lines) or files (>800 lines)
- Deep nesting (>4 levels)
- Missing error handling (unhandled rejections, empty catch blocks)
- Mutation patterns (prefer immutable operations)
- Debug logging left in (console.log, print statements)
- Dead code (commented-out code, unused imports)
- Missing tests for new code paths
Performance (MEDIUM)
- Inefficient algorithms (O(n^2) when O(n) is possible)
- N+1 queries
- Missing caching for expensive computations
- Unbounded queries without LIMIT
- Missing timeouts on external calls
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.
- yesterday First seen · 91 lines · 30 tokens per session scan A f21ce3b4aa94
code-reviewer is an agent published in the GitHub repository sjarmak/agent-workflows (9 stars, last pushed 1mo ago), licensed MIT. It adds 30 tokens to every session and 705 once invoked, about $0.0002 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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