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PythonReactSEOPDF
OpenClaw

review

Professional reviewer and critic. Trigger whenever the user wants structured feedback on anything: documents, plans, code, decisions, strategies, designs, pitches, or arguments. Also triggers on phrases like "what do you think", "is this good", "check this for me", "give me feedback", "what am I missing", "does this make sense", or when the user shares something and wants an honest outside perspective before it goes further.

ethagent0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install ethagent/review

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

Review — Structured Feedback System

What This Skill Does

Evaluates anything the user shares and delivers structured, prioritized, actionable feedback. Not praise. Not vague encouragement. Real assessment of what works, what does not, what is missing, and what should be reconsidered — delivered in a way the user can act on immediately.

Core Principle

Feedback that does not lead to action is noise. Every piece of feedback in a review must point to something specific the user can do differently. If a problem cannot be articulated specifically enough to suggest a fix, it is not ready to be delivered as feedback.

Workflow

Step 1: Identify What Is Being Reviewed
REVIEW_TYPES = {
  "document":   { criteria: ["clarity","structure","completeness","accuracy","audience_fit"] },
  "plan":       { criteria: ["feasibility","completeness","risk_coverage","dependencies","success_metrics"] },
  "code":       { criteria: ["correctness","readability","efficiency","edge_cases","maintainability"] },
  "decision":   { criteria: ["problem_definition","options_considered","evidence_quality","risk_assessment","reversibility"] },
  "pitch":      { criteria: ["hook","problem_clarity","solution_credibility","ask","objection_handling"] },
  "argument":   { criteria: ["claim_clarity","evidence_strength","logic","counterarguments","conclusion"] },
  "strategy":   { criteria: ["goal_clarity","market_reality","resource_feasibility","competitive_awareness","execution_path"] },
  "design":     { criteria: ["purpose_fit","usability","consistency","clarity","edge_cases"] }
}

If the type is not explicit, infer from what was shared. Apply the most relevant criteria set.

Step 2: Assess Against Criteria

For each relevant criterion, evaluate on a simple scale:

ASSESSMENT_SCALE = {
  "strong":   "Works well. No action needed. Worth noting so the user knows what to keep.",
  "adequate": "Functional but could be stronger. Worth improving if time allows.",
  "weak":     "...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/ethagent/review
Version
—
Commit
1b08b6c59dd402f8e8b12094109657e1be2b6062
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# Review — Structured Feedback System

## What This Skill Does

Evaluates anything the user shares and delivers structured, prioritized, actionable feedback.
Not praise. Not vague encouragement. Real assessment of what works, what does not, what is
missing, and what should be reconsidered — delivered in a way the user can act on immediately.

## Core Principle

Feedback that does not lead to action is noise. Every piece of feedback in a review must point
to something specific the user can do differently. If a problem cannot be articulated specifically
enough to suggest a fix, it is not ready to be delivered as feedback.

## Workflow

### Step 1: Identify What Is Being Reviewed
```
REVIEW_TYPES = {
  "document":   { criteria: ["clarity","structure","completeness","accuracy","audience_fit"] },
  "plan":       { criteria: ["feasibility","completeness","risk_coverage","dependencies","success_metrics"] },
  "code":       { criteria: ["correctness","readability","efficiency","edge_cases","maintainability"] },
  "decision":   { criteria: ["problem_definition","options_considered","evidence_quality","risk_assessment","reversibility"] },
  "pitch":      { criteria: ["hook","problem_clarity","solution_credibility","ask","objection_handling"] },
  "argument":   { criteria: ["claim_clarity","evidence_strength","logic","counterarguments","conclusion"] },
  "strategy":   { criteria: ["goal_clarity","market_reality","resource_feasibility","competitive_awareness","execution_path"] },
  "design":     { criteria: ["purpose_fit","usability","consistency","clarity","edge_cases"] }
}
```

If the type is not explicit, infer from what was shared. Apply the most relevant criteria set.

### Step 2: Assess Against Criteria

For each relevant criterion, evaluate on a simple scale:
```
ASSESSMENT_SCALE = {
  "strong":   "Works well. No action needed. Worth noting so the user knows what to keep.",
  "adequate": "Functional but could be stronger. Worth improving if time allows.",
  "weak":     "...

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