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/gerard-labs/superpowers-api-platform/controller-cleanupnpx skills add gerard-labs/superpowers-api-platform --skill controller-cleanupgit clone --depth 1 https://github.com/gerard-labs/superpowers-api-platformWhat 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 | $0.00119 | $0.00318 |
| Opus 5 | $0.00060 | $0.00159 |
| Sonnet 5 | $0.00024 | $0.00064 |
| Haiku 4.5 | $0.00012 | $0.00032 |
Grade A, and why
controller-cleanup 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.
What it actually says
Controller Cleanup (Symfony)
Use when
- Refining architecture/workflows/context handling in Symfony projects.
- Planning and executing medium/complex changes safely.
Default workflow
- Establish current boundaries, constraints, and coupling points.
- Propose smallest coherent architectural adjustment.
- Execute in checkpoints with validation at each stage.
- Summarize tradeoffs and follow-up backlog.
Guardrails
- Use existing project patterns by default.
- Avoid broad refactors without explicit need.
- Keep decision log clear and auditable.
Progressive disclosure
- Use this file for execution posture and risk controls.
- Open references when deep implementation details are needed.
Output contract
- Architecture/workflow changes.
- Checkpoint validation outcomes.
- Residual risks and next steps.
References
reference.mddocs/complexity-tiers.md
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 40 lines · 0 tokens per session scan A fd86774a3519
controller-cleanup is a skill published in the GitHub repository gerard-labs/superpowers-api-platform (2 stars, last pushed 3mo ago), licensed MIT. It adds 119 tokens to every session and 318 once invoked, about $0.0006 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 2026-08-31.
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client-setup
Create a vanilla tRPC client with createTRPCClient (), configure link chain with httpBatchLink/httpLink, dynamic headers for auth, transformer on links (not client constructor). Infer types with inferRouterInputs and inferRouterOutputs. AbortController signal support. TRPCClientError typing.
non-json-content-types
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caching
Set HTTP cache headers on tRPC query responses via responseMeta callback for CDN and browser caching. Configure Cache-Control, s-maxage, stale-while-revalidate. Handle caching with batching and authenticated requests. Avoid caching mutations, errors, and authenticated responses.
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