ECC is a toolkit that organizes and improves how coding agents work through skills, memory, security checks, research practices, and related extensions. It is for developers using agents such as Claude Code, Codex, OpenCode, and Cursor.
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 commands/affaan-m/ecc/refactor-cleangit clone --depth 1 https://github.com/affaan-m/ECCWrote 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/affaan-m/ecc/refactor-clean)<a href="https://agentmods.dev/commands/affaan-m/ecc/refactor-clean"><img src="https://agentmods.dev/badge/commands/affaan-m/ecc/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 | $0.00006 | $0.00505 |
| Opus 5 | $0.00003 | $0.00253 |
| Sonnet 5 | $0.00001 | $0.00101 |
| Haiku 4.5 | $0.00001 | $0.00051 |
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 yesterday.
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.
Copies of this mod
8 near-identical copies found in the catalogue:
- refactor-clean — 100% identical, 0 lines differ
- refactor-clean — 100% identical, 0 lines differ
- refactor-clean — 100% identical, 0 lines differ
- refactor-clean — 100% identical, 0 lines differ
- refactor-clean — 100% identical, 0 lines differ
- refactor-clean — 100% identical, 0 lines differ
- refactor-clean — 100% identical, 0 lines differ
- refactor-clean — 97% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Refactor Clean Command
Analyze and clean up the codebase: $ARGUMENTS
Your Task
- Detect dead code using analysis tools
- Identify duplicates and consolidation opportunities
- Safely remove unused code with documentation
- Verify no functionality broken
Detection Phase
Run Analysis Tools
# Find unused exports
npx knip
# Find unused dependencies
npx depcheck
# Find unused TypeScript exports
npx ts-prune
Manual Checks
- Unused functions (no callers)
- Unused variables
- Unused imports
- Commented-out code
- Unreachable code
- Unused CSS classes
Removal Phase
Before Removing
- Search for usage - grep, find references
- Check exports - might be used externally
- Verify tests - no test depends on it
- Document removal - git commit message
Safe Removal Order
- Remove unused imports first
- Remove unused private functions
- Remove unused exported functions
- Remove unused types/interfaces
- Remove unused files
Consolidation Phase
Identify Duplicates
- Similar functions with minor differences
- Copy-pasted code blocks
- Repeated patterns
Consolidation Strategies
- Extract utility function - for repeated logic
- Create base class - for similar classes
- Use higher-order functions - for repeated patterns
- Create shared constants - for magic values
Verification
After cleanup:
npm run build- builds successfullynpm test- all tests passnpm run lint- no new lint errors- Manual smoke test - features work
Report Format
Dead Code Analysis
==================
Removed:
- file.ts: functionName (unused export)
- utils.ts: helperFunction (no callers)
Consolidated:
- formatDate() and formatDateTime() → dateUtils.format()
Remaining (manual review needed):
- oldComponent.tsx: potentially unused, verify with team
CAUTION: Always verify before removing. When in doubt, ask or add // TODO: verify usage comment.
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.
- yesterday First seen · 103 lines · 6 tokens per session scan A 4f2dec090219
refactor-clean is a command published in the GitHub repository affaan-m/ECC (248,541 stars, last pushed today), licensed MIT. It adds 6 tokens to every session and 505 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 2026-09-03.
Other commands, from other repositories
awesome-chatgpt
Search awesome-ChatGPT-repositories for open-source GitHub repositories related to ChatGPT and LLMs.
test
Generate comprehensive tests.
init
Scaffold a new MindBase project (v2 layout). Usage: /mb:init [template] [-- mission ...].
commit
智能生成 Git 提交信息并提交.
pr
Handle the full workflow from current branch state to an open, CI-monitored pull request.
doctor.es
Diagnostica problemas de inferencia LLM en Mac: asiai doctor verifica el estado de los motores, conflictos de puertos, carga de modelos y estado de la GPU.