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 skills/johncrickett/ai-coding-workflow/code-reviewnpx skills add JohnCrickett/ai-coding-workflow --skill code-reviewgit clone --depth 1 https://github.com/JohnCrickett/ai-coding-workflowWhat 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 | $0.00011 | $0.00115 |
| Opus 5 | $0.00005 | $0.00057 |
| Sonnet 5 | $0.00002 | $0.00023 |
| Haiku 4.5 | $0.00001 | $0.00012 |
Grade A, and why
code-review 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
Code Review
Instructions
- Read all the code in the repository.
- Check the code against best practices for the programming language of the file.
- Check the code is clear, easy to read and simple.
- Check the code is consistent with the majority of the code in the project.
- Suggest any refactoring opportunities.
Examples
Please review this code. Conduct a code review. Can you review this code please? Can you review this code?
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 · 20 lines · 11 tokens per session scan A 3de147affdf4
code-review is a skill published in the GitHub repository JohnCrickett/ai-coding-workflow (16 stars, last pushed 5mo ago), licensed MIT. It adds 11 tokens to every session and 115 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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