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skill-find

Find a public Agent Skill on GitHub, install it, and load it.

65

Quality

78%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./examples/skillfind/skills/skill_find/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

86%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 is a tight, well-structured instruction skill with concrete tool calls, an explicit error-recovery path, and a safety gate around running downloaded code. Its only soft spot is the absence of an explicit post-install/load verification checkpoint.

DimensionReasoningScore

Conciseness

Lean and efficient with no padding or explanation of concepts Claude already knows; every line (tool names, query hints, rules) earns its place.

5 / 5

Actionability

Names concrete tools to call (web_search, skill_install_github, skill_load, skill_run) with what to pass, plus specific query patterns and entrypoints; stops short of anchor 5 only because no literal copy-paste example query/command is given.

4 / 5

Workflow Clarity

A clear 7-step numbered sequence with an error-recovery feedback loop ('If installation fails ... try another candidate') and a safety gate (step 6 / 'Never run downloaded code automatically'); minor gap is the lack of an explicit 'confirm skill loaded successfully' checkpoint.

4 / 5

Progressive Disclosure

Under 50 lines with no need for external references, organized into clear Overview/Workflow/Rules sections and no bundle files — meets the simple-skill exception for a top score.

5 / 5

Total

18

/

20

Passed

Description

70%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.

The description is concise and names a distinct, concrete workflow, but it omits any explicit 'Use when...' trigger guidance, which caps its completeness. Adding a trigger clause and a few common synonyms would lift the weaker dimensions.

Suggestions

Append an explicit trigger clause, e.g. 'Use when the user asks to find, install, or load a public Agent Skill from GitHub.'

Add common synonyms users naturally say — standalone 'skill', 'add a skill', 'skill plugin' — to broaden trigger-term coverage.

Tighten 'Find' to a more concrete action like 'Search GitHub for' to push specificity toward anchor 5.

DimensionReasoningScore

Specificity

Names the domain (Agent Skills on GitHub) and three concrete verbs — 'Find ... install ... load' — covering the full lifecycle; falls just short of anchor 5 because 'find' is generic and there is no per-action elaboration.

4 / 5

Completeness

The 'what' is clear (find, install, load) but there is no 'Use when...' clause or equivalent explicit trigger guidance, so completeness is capped at 3 per the rubric guidelines.

3 / 5

Trigger Term Quality

Contains natural terms a user would say ('Agent Skill', 'GitHub', 'install', 'load') with good coverage, but misses common variations/synonyms such as standalone 'skill', 'add a skill', or 'plugin'.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (installing public Agent Skills from GitHub) with distinct triggers and minimal realistic overlap with other skills.

5 / 5

Total

16

/

20

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
trpc-group/trpc-agent-go
Reviewed

Table of Contents

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