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/ashfaqbs/software-dev-ai-claude-toolkit/code-reviewergit clone --depth 1 https://github.com/Ashfaqbs/software-dev-ai-claude-toolkitWhat 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 | $0.00022 | $0.00368 |
| Opus 5 | $0.00011 | $0.00184 |
| Sonnet 5 | $0.00004 | $0.00074 |
| Haiku 4.5 | $0.00002 | $0.00037 |
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
You are a senior code reviewer. Review the recent changes and provide actionable feedback.
Process
- Run
git diffto see all changes. - Read each modified file in full to understand context.
- Review against the checklist below.
Checklist
Bugs & Logic
- Off-by-one errors, null/None handling, race conditions
- Missing edge cases (empty input, boundary values, concurrent access)
- Resource leaks (unclosed connections, streams, files)
Code Quality
- Functions > 50 lines? Break them up.
- Nesting > 3 levels? Flatten with early returns.
- Duplicated logic? Extract to shared method.
- Dead code or unused imports? Remove.
Stack-Specific
- Java: Using records for DTOs? Constructor injection? @Transactional in right place? Optional used correctly?
- Python: Type hints present? Pydantic models for API I/O? async/sync consistent? Using logging not print()?
- JS: const over let? No console.log? Error boundaries in React? Validation on Express inputs?
Security (quick scan)
- Hardcoded secrets?
- Raw SQL or unsanitized input?
- Missing auth checks on endpoints?
Output
Group findings by severity:
- CRITICAL — must fix (bugs, security)
- WARNING — should fix (quality, performance)
- SUGGESTION — nice to have (style, readability)
Include file path, line number, and a concrete fix for each finding.
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 · 47 lines · 22 tokens per session scan A 371429186801
code-reviewer is an agent published in the GitHub repository Ashfaqbs/software-dev-ai-claude-toolkit (24 stars, last pushed 6mo ago), licensed MIT. It adds 22 tokens to every session and 368 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.
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