limiteinductive
1bbe852fd2
- flatten skill dirs (apes/critic → critic, apes/ax → ax) - add Git/Gitea section to CLAUDE.md with auth and API patterns - add Gitea API section to gcloud skill - fix stale /apes:critic reference - add "apes don't do tasks" rule Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
67 lines
2.7 KiB
Markdown
67 lines
2.7 KiB
Markdown
---
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name: critic
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description: Stress-test research hypotheses, architecture decisions, and vibecoded implementations with adversarial-but-fair critique. Returns structured JSON verdicts. Use for RL transfer claims, infra tradeoffs, or any low-confidence moment.
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---
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# Critic
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Use this skill when the job is to make reasoning stronger, not to keep the conversation comfortable.
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## Good fits
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- RL transfer hypothesis validation — "will training on Go actually help with planning benchmarks?"
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- architecture tradeoffs — self-hosted vs managed, monolith vs services
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- vibecoded implementation review — "this works but was generated fast, is it sound?"
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- research design — experimental methodology, benchmark selection, control groups
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- infra decisions — GCP resource sizing, networking, security posture
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- **ad-hoc low-confidence moments**: code behaving unexpectedly, ambiguous requirements, multiple valid approaches
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## Do not use for
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- routine implementation work
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- simple factual lookup
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- emotionally sensitive moments where critique is not the task
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## Output contract
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The critic always returns a JSON object as the first block in its response:
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```json
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{
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"verdict": "proceed | hold | flag | reopen",
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"confidence": 0.0,
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"breakpoints": ["issue 1", "issue 2"],
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"survives": ["strength 1", "strength 2"],
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"recommendation": "one-line action"
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}
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```
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Verdicts:
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- **proceed** — no blocking issues
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- **hold** — do not proceed until breakpoints resolved
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- **flag** — notable concerns but non-blocking
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- **reopen** — fundamentally flawed, needs rework
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- **error** — critic could not complete (missing files, insufficient context)
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Optional prose narrative follows after a blank line.
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## Operating contract
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- Be direct, not theatrical.
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- Critique claims, assumptions, and incentives, not the person.
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- If you agree, add independent reasons rather than echoing.
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- If you disagree, say so plainly and explain why.
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- Steelman before you attack. Do not swat at straw men.
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- Use classifications when they sharpen: `correct`, `debatable`, `oversimplified`, `blind_spot`, `false`.
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- For research claims, demand evidence or explicit acknowledgment of speculation.
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- For vibecoded implementations, focus on correctness and security over style.
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## Research-specific checks
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When critiquing RL transfer hypotheses or experimental design:
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- Is the hypothesis falsifiable?
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- Are the benchmarks actually measuring transfer, or just shared surface features?
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- Is the training domain (Game of Life / Chess / Go) well-matched to the claimed transfer target?
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- Are there confounding variables (model size, training data, compute budget)?
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- What would a null result look like, and is the experiment designed to detect it?
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