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/ahmadrrrtx/xr/refactor_cleannpx skills add ahmadrrrtx/xr --skill refactor_cleangit clone --depth 1 https://github.com/ahmadrrrtx/xrWrote 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/skills/ahmadrrrtx/xr/refactor_clean)<a href="https://agentmods.dev/skills/ahmadrrrtx/xr/refactor_clean"><img src="https://agentmods.dev/badge/skills/ahmadrrrtx/xr/refactor_clean.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00072 |
| Opus 5 | $0.00000 | $0.00036 |
| Sonnet 5 | $0.00000 | $0.00014 |
| Haiku 4.5 | $0.00000 | $0.00007 |
Grade A, and why
refactor_clean 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 4d 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 Clean
read_filethe target.- Apply clean-code principles WITHOUT changing behavior.
- Present a diff for approval before writing.
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.
- 4d ago First seen · 13 lines · 0 tokens per session scan A 05d978303bdc
refactor_clean is a skill published in the GitHub repository ahmadrrrtx/xr (5 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 72 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 2026-08-31.
Other skills, from other repositories
writing-skills
Use when a task reveals a recurring, multi-step capability worth saving for future sessions — writing a new Norma skill, or improving an existing self-authored one, via skillwrite.
cuj-guardian
Run and triage AI Atelie's Critical User Journey (CUJ) for every PR — the single end-to-end test that proves a user can open the app, create a project, drive the Claude Code agent, and see the canvas render. Before running, gate by inspecting the PR diff for changes that plausibly affect the journey (routes…
ship-task
Take an AI Atelie task — issue, ticket, or ad-hoc ask — all the way from description to merged-ready PR. Use whenever the user says "implement X and ship it", "work on issue.
canvas-sync
Keep the canvas surface coherent across its three places — the canonical starter at mcp/starters/DesignCanvas.jsx, the byte-identical demo copy at web/projects/demo/design-canvas.jsx, and the host-side wiring in web/src/lib/tweakBridge.ts plus mcp/CANVASPROTOCOL.md. Use whenever the diff touches any of those files, or…
export
Export a selected element from the canvas as PNG, JPEG, OGraf bundle, Lottie, or video. Saves to the project's exports/ folder; the chat renders the result inline as an artifact card.
pr-evidence
Run AI Atelie's journey suite and inject inline-rendering evidence (per-journey video + screenshot, in a 4-column markdown table) into the current PR's body. Use whenever the user says "post evidence", "run journeys", "update PR with videos", or after ship-task opens a PR. Wraps bun run journeys; idempotent — re-runs…