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uinaf/skill-audit

Audit existing skills with Tessl scoring, trigger-coverage checks, repo conventions, or quick experiential feedback from a recent task. Use when revising skills, triaging weak activation, or turning observed skill guidance failures into scoped repo edits.

95

1.03x
Quality

95%

Does it follow best practices?

Impact

95%

1.03x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

Overview
Quality
Evals
Security
Files

Evaluation results

88%

-6%

Skill Portfolio Review: Activation and Routing Problems

Criteria
Without context
With context

Tessl run per skill

100%

100%

Score per skill reported

100%

100%

Vague names flagged

50%

37%

Missing boundaries flagged

100%

100%

Third-person descriptions proposed

100%

100%

What and when in descriptions

100%

100%

Overlap boundary in descriptions

100%

100%

Misplaced code review content flagged

100%

100%

Correct handoff skill named

77%

22%

Evidence over taste

100%

100%

Optimizer not invoked

100%

100%

Scope respected

100%

100%

100%

5%

Skill Health Check: Release Coordinator

Criteria
Without context
With context

Rubric moved to references

100%

100%

Examples moved to references

100%

100%

Duplicate checklist removed

100%

100%

Frontmatter cleaned

44%

100%

References linked from SKILL.md

100%

100%

Tessl run before edits

100%

100%

Tessl rerun after edits

100%

100%

Before/after scores compared

100%

100%

Change reasons documented

100%

100%

SKILL.md remains workflow-focused

100%

100%

Optimizer not used

100%

100%

Scope respected

100%

100%

99%

10%

Skill Audit: Onboarding Assistant Skill

Criteria
Without context
With context

Tessl run first

100%

100%

Correct single-skill command

100%

100%

Score reported

100%

100%

Tessl command reported

100%

100%

Strongest parts identified

100%

100%

Findings with file references

100%

100%

Blockers separated from polish

66%

100%

Smallest change set

100%

100%

Rerun status reported

100%

100%

Repo conventions loaded

71%

85%

Optimizer not invoked

100%

100%

Adjacent issues flagged separately

33%

100%

Evaluated
Agent
Claude
Model
Claude Sonnet 4.6

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