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/kaelsensei/magicaibuilder/clean-codegit clone --depth 1 https://github.com/KaelSensei/MagicAIBuilderWhat 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 | $0.01783 |
| Opus 5 | $0.00000 | $0.00892 |
| Sonnet 5 | $0.00000 | $0.00357 |
| Haiku 4.5 | $0.00000 | $0.00178 |
Grade A, and why
clean-code 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 2d 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 — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clean Code Command – Code Cleanup and Technical Debt Removal
When /clean-code [target] is invoked, immediately execute the following steps to remove redundant code, unused variables, dead code, debug statements, and other technical debt.
Step 1: Load Project Context
- Assume the project root as the working directory
- Load and strictly follow ALL Cursor rules from
.cursor/rules/*.mdc:security.mdc- Security requirementstechnical-stack.mdc- React Native/SQLite patternsdocumentation.mdc- Documentation update requirementsversion-management.mdc- Git commit/push workflow
- Read relevant documentation:
README.mdPROGRESS.md- Architecture documents
- Identify the current Git branch and assume it is a refactor branch, not
main - Determine the cleanup scope:
- If no target specified: analyze entire codebase for cleanup opportunities
- If target specified: focus on specific files/directories (e.g.,
src/screens/DeckDetailScreen.tsx,src/db/)
Step 2: Understand the Cleanup Scope
- Parse the target provided after
/clean-code(if any) - Identify cleanup opportunities:
- Unused imports - Remove imports that are not used
- Unused variables/state - Remove variables, refs, or state that are never read
- Dead code - Remove code paths that are unreachable
- Duplicate code - Identify and consolidate duplicate logic
- Redundant code - Remove code that does the same thing multiple times
- Debug statements - Remove
console.log,console.debug,console.warn(unless intentional) - Commented-out code - Remove old commented code blocks
- Unused functions - Remove functions that are never called
- Unnecessary dependencies - Remove dependencies from hooks/useMemo that don't affect the result
- Overly complex logic - Simplify unnecessarily complex expressions
- Do NOT remove:
- Code that appears unused but is actually used (e.g., via dynamic imports, reflection)
- Intentional debug logging for production debugging
- Code that is temporarily disabled for a specific reason
- Type definitions that improve type safety
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.
- 2d ago First seen · 228 lines · 0 tokens per session scan A e870559cd6fe
clean-code is a command published in the GitHub repository KaelSensei/MagicAIBuilder (2 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,783 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 commands, from other repositories
spec-plan
Step 4 of the Vibe-Spec workflow. Generate the high-level plan file for every phase in the V2 phase index, each with a scope + status header, so the user has a complete set of plan files to work from.
spec-phases
Step 3 of the Vibe-Spec workflow. Break the V1 spec into sequential, self-contained phases and append a phase index, producing the final V2 spec.
spec-secrets
Audit a Vibe-Spec app for secrets leaking to the browser. A locked-down, redacting command — a local script reads .env and the built bundle, and Claude only ever sees variable NAMES and pass/fail verdicts. Secret values never enter the model's context.
spec-doctor
Read-only environment health check for the Vibe-Spec stack. Detects your OS and reports which prerequisite tools (Git, Node, pnpm, Docker, uv) are installed, their versions, and what each is needed for. Installs nothing.
spec-implement
Step 5 of the Vibe-Spec workflow. Promote a phase plan to detailed, implement it following the vibe-spec references, then update the docs so the spec reflects reality.
spec-refine
Step 2 of the Vibe-Spec workflow. Critique the V0 spec, fill gaps with clarifying questions, then promote it to a V1 spec that maps each piece of functionality to concrete stack tools using the vibe-spec references.