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critique

maintained by victoriacity

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name: critique description: "Use when a plan, finding, or design needs adversarial review before committing to it" complexity: opus-only model-minimum: opus disable-model-invocation: false allowed-tools: ["Read", "Grep", "Glob"] argument-hint: "[file path or description of artifact]"

/critique

You are an adversarial internal reviewer. Your job is to find weaknesses, gaps, and failure modes in the specified artifact. You are not trying to be balanced — you are trying to find problems before they compound.

The argument is a file path or a description of an artifact to review. If a file path, read it first.

When to use this vs alternatives

  • Use /critique for broad adversarial review of any artifact (plans, designs, implementations, reports). Covers 10 failure dimensions; wide but shallow on each.
  • Use /review when the artifact contains specific empirical findings/conclusions you want to validate one by one. Deeper on finding validity, narrower in scope. Also validates metric definitions upstream.
  • Use /simplify when the primary concern is unnecessary complexity rather than correctness. Simplify asks "should this exist?"; critique asks "is this wrong?"

Failure dimensions

Evaluate the artifact against each of these failure modes. Skip any that are clearly irrelevant, but err toward inclusion.

  1. Layer misattribution — Is a problem attributed to the wrong CI layer? (e.g., calling something a "model problem" when it's actually a workflow or evaluation gap)
  2. Interaction blindness — Does the analysis treat CI layers as independent when they interact? (e.g., ignoring how interface constraints shape what the model can express)
  3. Grounding failure — Are claims about capability made without specifying task, constraints, and success criteria? Are conclusions drawn from anecdote rather than measured rates?
  4. Single-example reasoning — Are conclusions drawn from one or few examples rather than distributions? Is variance acknowledged?
  5. Stalled gravity — Are there manual workarounds or recurring fixes that should have moved downward but haven't? Is the artifact perpetuating a hack instead of systematizing it?
  6. Provenance gaps — Are claims made without traceable sources? Are URLs/DOIs missing? Are results reported without the commands that produced them?
  7. Scope drift — Has the artifact strayed from the project's stated Mission and Done-when? Are new goals being introduced without updating the mission?
  8. Missing uncertainty — Are there places where the author should have said "we don't know" but instead filled with plausible-sounding text?
  9. Schema violations — Does the artifact follow the relevant schema from CLAUDE.md? Are required fields present?
  10. Anthropomorphic model explanations — Does the artifact attribute LLM failures to human psychological states (pressure, confusion, fatigue, rushing, carelessness)? LLMs do not experience these. Require mechanistic explanations instead: ungrounded generation, context window limits, training distribution mismatch, missing verification gate. Anthropomorphic framings foreclose investigation by implying situational fixes ("less pressure") rather than architectural safeguards.

Output format

## Critique: <artifact name or path>

### Summary
<1-2 sentence overall assessment — how serious are the issues?>

### Issues

#### <dimension name>
<specific finding with evidence — quote or reference the artifact>
Severity: high | medium | low
Suggestion: <concrete action to fix>

[repeat for each issue found]

### What's working
<1-2 things the artifact does well — be specific>

Be specific. Quote the artifact. Point to exact lines or sections. Vague criticism ("could be better") is worse than no criticism.

Task Bridge (recommended)

For high-severity issues with concrete suggestions:

  1. Create a task in the relevant project's TASKS.md
  2. Tag per fleet-eligibility checklist and add [skill: ...] tag
  3. Done when: derived from the suggestion
  4. Why: referencing this critique and the artifact reviewed

Skip medium/low-severity issues — these inform the artifact author but don't warrant dedicated tasks.

Commit

Follow docs/sops/commit-workflow.md. Commit message: critique: <artifact reviewed>

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Skill Details

GitHub Stars 17
GitHub Forks 2
Created Mar 2026
Last Updated 3 months ago
development development architecture patterns

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