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subagent-testing

6.6

by athola

80Favorites
141Upvotes
0Downvotes

TDD-style testing methodology for skills using fresh subagent instances to prevent priming bias and validate skill effectiveness. Triggers: test skill, validate skill, skill testing, subagent testing, fresh instance testing, TDD for skills, skill validation Use when: validating skill improvements, testing skill effectiveness, preventing priming bias, measuring skill impact on behavior DO NOT use when: implementing skills (use skill-authoring instead), creating hooks (use hook-authoring instead)

skill testing

6.6

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0

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Testing & Quality

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Quick Review

Excellent skill addressing a sophisticated testing challenge. The description clearly articulates when and why to use fresh subagent instances to prevent priming bias in skill validation. The TDD-style three-phase methodology (baseline/with-skill/rationalization) is well-structured and practical. SKILL.md provides a clear overview with appropriate references to detailed modules. The skill tackles a genuinely novel problem—testing AI skills in isolation—that would be difficult and token-intensive for a CLI agent to reason through independently. Strong success criteria with quantifiable metrics (≥50% improvement, ≥80% rationalization defense). Minor room for improvement in providing more concrete examples directly in SKILL.md, though referenced modules presumably contain these details.

LLM Signals

Description coverage9
Task knowledge8
Structure9
Novelty8

GitHub Signals

127
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1
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Last commit 0 days ago

Publisher

athola

athola

Skill Author

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athola avatar
athola

Skill Author

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