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 instructions/wwind123/coding-review-agent-loop/claude-mdgit clone --depth 1 https://github.com/wwind123/coding-review-agent-loopWhat 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 | $0.00278 | $0.00278 |
| Opus 5 | $0.00139 | $0.00139 |
| Sonnet 5 | $0.00056 | $0.00056 |
| Haiku 4.5 | $0.00028 | $0.00028 |
Grade A, and why
coding-review-agent-loop CLAUDE.md 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 3d 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
coding-review-agent-loop — Claude Code Instructions
Skill mode
When a user asks you to run the agent loop for an issue or PR, load and follow
the instructions in SKILL.md.
Slash command (preferred): the user can type /coding-review-agent-loop
followed by arguments — Claude Code loads .claude/commands/coding-review-agent-loop.md
which prompts you to read SKILL.md and start orchestration.
Natural language also works:
- "Run the agent-loop skill for issue #123 in OWNER/REPO with gemini as reviewer"
- "Start agent-loop plan-first for issue #42, reviewers: codex and gemini"
- "Run agent-loop pr 99 in OWNER/REPO"
- "Have codex fix the blocking review on PR #99 in OWNER/REPO"
- "Resume the agent-loop skill for issue #123"
In every case: read SKILL.md, gather the required inputs (repo, issue/PR
number, reviewers, flow type), and follow the orchestration steps from the top.
Development
The main package lives in src/coding_review_agent_loop/. Tests are in
tests/. Run the full test suite with:
.venv/bin/python -m pytest tests/ -q
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.
- 3d ago First seen · 30 lines · 278 tokens per session scan A d509a1cac46e
coding-review-agent-loop CLAUDE.md is an instructions file published in the GitHub repository wwind123/coding-review-agent-loop (11 stars, last pushed 5d ago), licensed MIT. It adds 278 tokens to every session, about $0.0014 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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