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.
git clone --depth 1 https://github.com/Zouhair-Boulahlib/Claude-Code-EtymologiaeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/zouhair-boulahlib/claude-code-etymologiae/refactor-check)<a href="https://agentmods.dev/commands/zouhair-boulahlib/claude-code-etymologiae/refactor-check"><img src="https://agentmods.dev/badge/commands/zouhair-boulahlib/claude-code-etymologiae/refactor-check/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/zouhair-boulahlib/claude-code-etymologiae/refactor-check"><img src="https://agentmods.dev/badge/commands/zouhair-boulahlib/claude-code-etymologiae/refactor-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00009 | $0.00153 |
| Opus 5 | $0.00005 | $0.00077 |
| Sonnet 5 | $0.00002 | $0.00031 |
| Haiku 4.5 | $0.00001 | $0.00015 |
Grade A, and why
refactor-check 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 12d 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
Analyze the specified file or directory for refactoring opportunities:
- Duplication — Code repeated in multiple places that could be extracted
- Long functions — Functions over 40 lines that should be split
- Deep nesting — More than 3 levels of if/else or loops
- God objects — Classes/modules doing too many things
- Dead code — Unused functions, variables, imports
For each finding:
- Explain what to improve and why
- Rate priority: high / medium / low
- Suggest the specific refactoring (extract function, split module, etc.)
Do NOT make changes — just report findings.
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.
- 12d ago First seen · 19 lines · 9 tokens per session scan A b05ab5d74ea8
refactor-check is a command published in the GitHub repository Zouhair-Boulahlib/Claude-Code-Etymologiae (10 stars, last pushed 5mo ago), licensed MIT. It adds 9 tokens to every session and 153 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
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review-branch
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init
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merge-conflict-analysis
You are analyzing merge conflicts for PR #${{ pr-number }}.
repo-audit
Audit a codebase (local or remote GitHub/GitLab) against architecture principles and requirements, surfacing drift, risk, and missing decisions.
argos
A command for checking whether an implementation matches its design deliverables. Its Korean description compares the work to the design as part of a completion inspection.