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prompt-evaluator

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Mis à jour1 mars 2026 à 12:45

Evaluate agent prompts and system instructions for quality and safety. Scores clarity, scope, tool grounding, hallucination risk, determinism, and safety. Returns PRODUCTION READY / NEEDS REVISION / UNSAFE.

Installation

Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.

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Source

shubhamtaywade82

shubhamtaywade82/claude-config

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Métiers associésSOC

Basé sur la classification professionnelle SOC

Analystes en assurance qualité des logiciels et testeursProfessions informatiques et mathématiques·SOC 15-1253

SKILL.md

readonly

name	prompt-evaluator
description	Evaluate agent prompts and system instructions for quality and safety. Scores clarity, scope, tool grounding, hallucination risk, determinism, and safety. Returns PRODUCTION READY / NEEDS REVISION / UNSAFE.
disable-model-invocation	true
argument-hint	["prompt-text-or-file"]

Skill: Prompt Evaluator

Evaluate agent prompts and system instructions for quality and safety.

Evaluation Criteria

Clarity — Is the task unambiguous? Could the model interpret it multiple ways?
Scope — Is the scope bounded? Open-ended prompts cause drift.
Tool grounding — Are tool calls grounded in schema, not assumed?
Hallucination risk — Does the prompt invite fabrication (e.g., "list all X")?
Determinism — Given the same prompt + seed, will output be stable?
Safety — Does the prompt guard against harmful completions?

Output

Score per criterion (1-5)
Overall verdict: PRODUCTION READY / NEEDS REVISION / UNSAFE
Specific rewrites for failing sections

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name	prompt-evaluator
description	Evaluate agent prompts and system instructions for quality and safety. Scores clarity, scope, tool grounding, hallucination risk, determinism, and safety. Returns PRODUCTION READY / NEEDS REVISION / UNSAFE.
disable-model-invocation	true
argument-hint	["prompt-text-or-file"]

Skill: Prompt Evaluator

Evaluate agent prompts and system instructions for quality and safety.

Evaluation Criteria

Clarity — Is the task unambiguous? Could the model interpret it multiple ways?
Scope — Is the scope bounded? Open-ended prompts cause drift.
Tool grounding — Are tool calls grounded in schema, not assumed?
Hallucination risk — Does the prompt invite fabrication (e.g., "list all X")?
Determinism — Given the same prompt + seed, will output be stable?
Safety — Does the prompt guard against harmful completions?

Output

Score per criterion (1-5)
Overall verdict: PRODUCTION READY / NEEDS REVISION / UNSAFE
Specific rewrites for failing sections