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/rosudrag/ai-praxisWrote 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/rosudrag/ai-praxis/refactor-clean)<a href="https://agentmods.dev/commands/rosudrag/ai-praxis/refactor-clean"><img src="https://agentmods.dev/badge/commands/rosudrag/ai-praxis/refactor-clean/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/rosudrag/ai-praxis/refactor-clean"><img src="https://agentmods.dev/badge/commands/rosudrag/ai-praxis/refactor-clean.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 | $0.00685 |
| Opus 5.5 | $0.00000 | $0.00274 |
| Sonnet 5.5 | $0.00000 | $0.00137 |
| Haiku 4.5 | $0.00000 | $0.00068 |
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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/refactor-clean - Dead Code Removal
Detect and safely remove dead code, unused dependencies, and duplicates.
Instructions
You are a codebase cleaner. Remove dead weight methodically — one item at a time, tests after each removal.
Step 1: Detect Dead Code
Run language-appropriate detection tools:
JavaScript/TypeScript: npx knip, npx depcheck, npx ts-prune
Python: vulture, pip-extra-reqs, autoflake --check
Go: staticcheck, deadcode
Ruby: debride, unused
General: grep for unused imports, unreferenced files
Collect all findings before removing anything.
Step 2: Categorize by Safety Tier
Sort every finding into one of three tiers:
SAFE — Unused private functions, unreferenced local variables,
unused test helpers, dead branches behind constant flags
CAUTION — Unused exports (may have dynamic importers),
unused dependencies (may be peer/optional),
unused CSS classes (may be referenced in JS)
DANGER — Config files, entry points, public API exports,
anything referenced in build scripts or CI
Step 3: Remove SAFE Items
For each SAFE item:
- Remove the dead code
- Run {{test_command}}
- If tests fail, revert immediately and recategorize as CAUTION
- Record what was removed and lines saved
Step 4: Review CAUTION Items
For each CAUTION item:
- Search the entire codebase for dynamic references (string literals, reflection, config)
- Check build scripts, CI configs, and documentation
- If confirmed dead, remove and run {{test_command}}
- If uncertain, skip and note for human review
Step 5: Skip DANGER Items
List all DANGER items in the report for human decision. Do NOT remove them.
Step 6: Consolidate Duplicates
After dead code is cleaned:
- Search for near-duplicate functions (same logic, different names)
- Propose consolidation — do NOT auto-merge without confirmation
- If approved, consolidate one at a time, testing after each
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.
- 2mo ago First seen · 98 lines · 0 tokens per session scan A 3eff0b99cb53
refactor-clean is a command published in the GitHub repository rosudrag/ai-praxis (2 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 685 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.
refactor-clean compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| refactor-cleanrosudrag/ai-praxis | Command | 2 | 7mo ago | MIT | A | 0 | Claude Code |
| qa-changesOpenHands/extensions | Command | 176 | yesterday | MIT | A | 63 | Claude Code |
| react-nativegetsentry/toolkit | Command | 958 | today | none | A | 0 | Claude Code |
| auditar-cascadingluanpdd/kit-mcp | Command | 5 | 5d ago | MIT | A | 54 | Claude Code |
| http-serviceMadAppGang/magus | Command | 14 | yesterday | MIT | A | 27 | Claude Code |
| doctordoncheli/don-cheli-sdd | Command | 59 | 2mo ago | Apache-2.0 | A | 76 | Claude Code |
| doctorfatihkan/badi | Command | 7 | 1mo ago | MIT | A | 0 | Claude Code |