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skill-judge

Evaluate Agent Skill design quality against official specifications and best practices. Use when reviewing, auditing, or improving SKILL.md files and skill packages. Provides multi-dimensional scoring and actionable improvement suggestions.

60

Quality

71%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./packages/builtin-skills/skills/skill-judge/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

56%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body delivers a thorough, actionable evaluation framework with a clear protocol and report template, but it is monolithic and padded with philosophy and duplicated failure patterns that inflate the token budget without adding expert knowledge. Splitting reference material into separate files and trimming conceptual framing would materially raise both conciseness and progressive disclosure.

Suggestions

Trim the 'Core Philosophy' framing (training-cost analogies, LoRA metaphor, Tool-vs-Skill table) to a few lines; the base model already grasps these concepts and they dilute the expert knowledge delta.

Move the Common Failure Patterns, Quick Reference Checklist, and report template into a references/ file with explicit 'read when X' loading triggers, cutting SKILL.md toward 300 lines.

Collapse the 9 Common Failure Patterns (which largely restate the dimension guidance) into one-line cross-references to the relevant dimension to eliminate redundancy.

DimensionReasoningScore

Conciseness

The ~750-line body is noticeably verbose, with padded philosophy sections (training-cost analogies, 'hot-swappable LoRA' metaphors, Tool-vs-Skill tables, a 9-item Common Failure Patterns list that rehashes the dimensions) that explain framing the base model already knows.

2 / 5

Actionability

Provides concrete, actionable guidance: per-dimension scoring bands, red/green flags, a 5-step Evaluation Protocol, report template, and quick-reference checklist — minor gaps only, with no penalty warranted for the absence of code in this instruction skill.

4 / 5

Workflow Clarity

The Evaluation Protocol is a clear 5-step sequence (Knowledge Delta Scan → Structure Analysis → Score → Total/Grade → Generate Report) with checklists and a report template, though it lacks an explicit validation/feedback loop.

4 / 5

Progressive Disclosure

No references/, scripts/, or assets/ exist and the file is a 750-line monolith; it is well-sectioned internally, but substantial content (rubric detail, failure patterns, checklist, report template) that belongs in on-demand reference files is fully inlined.

3 / 5

Total

13

/

20

Passed

Description

87%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description: it states concrete capabilities, includes an explicit 'Use when' trigger scenario with searchable domain keywords, and carves out a distinct activation niche. Only minor gains are available from adding a few more synonyms and explicit edge-case triggers.

DimensionReasoningScore

Specificity

Lists several concrete actions ('Evaluate Agent Skill design quality', 'multi-dimensional scoring', 'actionable improvement suggestions', 'reviewing, auditing, or improving') with only minor coverage gaps, matching the 'Lists several specific actions' anchor.

4 / 5

Completeness

Explicitly answers both WHAT (evaluate design quality, multi-dimensional scoring, suggestions) and WHEN via a concrete 'Use when reviewing, auditing, or improving...' trigger phrase.

5 / 5

Trigger Term Quality

Includes natural phrases a user would say ('reviewing, auditing, or improving SKILL.md files and skill packages') plus domain terms, with a few synonyms missing — good but not comprehensive coverage.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (Agent Skill design review) with distinct triggers ('SKILL.md files and skill packages') and minimal risk of overlapping unrelated skills.

5 / 5

Total

18

/

20

Passed

Validation

81%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (753 lines); consider splitting into references/ and linking

Warning

relative_links

Relative link issues: 1 missing

Warning

referenced_paths_exist

Referenced path issues: 1 missing

Warning

Total

13

/

16

Passed

Repository
shareAI-lab/Kode-CLI
Reviewed

Table of Contents

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