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/d-o-hub/github-template-ai-agentsWrote 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/d-o-hub/github-template-ai-agents/refactor)<a href="https://agentmods.dev/commands/d-o-hub/github-template-ai-agents/refactor"><img src="https://agentmods.dev/badge/commands/d-o-hub/github-template-ai-agents/refactor/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/d-o-hub/github-template-ai-agents/refactor"><img src="https://agentmods.dev/badge/commands/d-o-hub/github-template-ai-agents/refactor.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 | $0.00000 | $0.00135 |
| Opus 5.5 | $0.00000 | $0.00054 |
| Sonnet 5.5 | $0.00000 | $0.00027 |
| Haiku 4.5 | $0.00000 | $0.00014 |
Grade A, and why
refactor 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 1mo 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
Refactor code to improve quality and maintainability.
Systematic refactoring while preserving functionality.
Usage: /refactor [what to refactor]
Common scenarios:
- File too large (> 500 LOC)
- Duplicate code
- Complex function
- Poor error handling
- Performance optimization
Steps:
- Ensure all tests pass (baseline)
- Commit current state (safe point)
- Plan refactoring approach
- Make incremental changes
- Run tests after each change
- Verify improvement achieved
- Update documentation if needed
- Create clear commit message
- Report changes made
Use the refactorer agent for this workflow.
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.
- 1mo ago First seen · 26 lines · 0 tokens per session scan A a96908ea6467
refactor is a command published in the GitHub repository d-o-hub/github-template-ai-agents (2 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 135 tokens. 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 2026-09-03.
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