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skill-builder

Automatically detect source types and build AI skills using Skill Seekers. Use when the user wants to create skills from documentation, repos, PDFs, videos, or other knowledge sources.

Quality

83%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

80%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 an efficiently structured overview with a precise source-detection table and a sequenced workflow, but it lacks executable invocation examples and, more importantly, validation checkpoints for the batch scraping/packaging operations that cap workflow clarity at 3.

Suggestions

Add a validation/verification checkpoint to the workflow (e.g., validate the scraped config or confirm the packaged skill before upload) so workflow clarity can exceed the batch-operation cap of 3.

Include one or two concrete MCP tool invocation examples (e.g., a sample scrape_docs call or expected config shape) to push actionability from good to fully executable.

Optionally note how to verify source-type detection succeeded after step 1 to add a feedback loop into the recommended workflow.

DimensionReasoningScore

Conciseness

Lean tables and grouped tool lists deliver maximum information per token with no padding and no re-explanation of concepts Claude already knows; every token earns its place.

5 / 5

Actionability

A concrete pattern→tool detection table and a 7-step workflow naming specific MCP tools give mostly executable guidance, but no actual invocation examples or command shapes appear, leaving minor gaps; not a 5 for lack of copy-paste-ready examples.

4 / 5

Workflow Clarity

The 7-step Recommended Workflow is clearly sequenced, but scraping/packaging are batch operations with no validation or verification checkpoints, so the destructive/batch cap of 3 applies; not a 2 because the sequence itself is well defined.

3 / 5

Progressive Disclosure

Well-organized sectioned overview under 50 lines with no external bundle files needed, so the simple-skill exception applies and structure alone earns the top score; not below 5 because there is no nesting or inlined bulk content.

5 / 5

Total

17

/

20

Passed

Description

78%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 cleanly states both what the skill does and when to use it, with a clear 'Use when...' trigger clause and a distinct 'Skill Seekers' niche. It is strong but could list more concrete build actions and add file-extension synonyms for fuller trigger coverage.

DimensionReasoningScore

Specificity

Names the domain and two concrete actions ('detect source types', 'build AI skills') but does not enumerate the specific build actions, matching the 'Names domain and 1-2 concrete actions' anchor; not a 4 because the actions remain somewhat high-level without multiple specific concrete actions.

3 / 5

Completeness

Explicitly answers what ('detect source types and build AI skills using Skill Seekers') and when ('Use when the user wants to create skills from documentation, repos, PDFs, videos...') with concrete trigger phrases, matching the top anchor.

5 / 5

Trigger Term Quality

Good natural keyword coverage ('documentation, repos, PDFs, videos, knowledge sources') that users would plausibly say; not a 5 because common synonyms and file extensions (e.g., 'GitHub', '.pdf', 'scrape', 'convert') are partially missing.

4 / 5

Distinctiveness Conflict Risk

The 'Skill Seekers' niche plus source-type-specific triggers makes it mostly distinct with only minor overlap risk against general scraping/doc skills; not a 5 because the broad 'knowledge sources' phrasing leaves slight overlap with generic documentation skills.

4 / 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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

yusufkaraaslan/Skill_Seekers

Path

skills/skill-seekers/SKILL.md

Reviewed

Table of Contents

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