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skillselion/skillselion-mcp (skillselion-mcp)

skillselion-mcp · v0.9.6 · scanned

What changed in the harness

Selection accuracy 100→100, token cost up 2%, unconfirmed writes 100%→100%.

Category breakdown

Where the score comes from.

Earned points across the four signals Gradable measures. Safety and Legibility are scored out of 30; Economics and Discoverability are scored out of 20.

01Safety

30.0 / 30

30.0 out of 30
02Legibility

29.1 / 30

29.1 out of 30
03Economics

16.6 / 20

16.6 out of 20
04Discoverability

16.8 / 20

16.8 out of 20

Highest-impact fix

Estimated gain +3 points

Reduce the tool-definition and task token payload

Consolidate overlapping tools and trim repetitive schema text while preserving behavior, parameter, and return semantics.

Description evidence

Defects and rewrites.

2 defects found across the exposed tool descriptions. Suggested rewrites make purpose, inputs, boundaries, and returns easier for an agent to understand.

Tool Defect types Suggested rewrite
search_skillselion
no_return_description
Search Skillselion, a curated directory of Claude Code agent skills, MCP servers and plugin marketplaces, ranked by real community signal (installs + GitHub stars). Use to browse trusted skills/MCPs/marketplaces for the task at hand (e.g. "postgres", "code review", "playwright"). To actually USE a skill, call load_skill (with an id from here, or directly with a query - it searches for you). Returns a ranked list of matching entries, each with its id, name, type, description, and community signal (installs/stars), for review or use as input to load_skill.
top_skillselion
no_return_description
List the top entries on Skillselion (the leaderboard), optionally filtered to one listing type via `type`. Skills rank by installs; MCP servers and marketplaces rank by GitHub stars. Returns an ordered list (up to `limit`, default 10) of entries with id, name, type, and their ranking metric (install count or star count).

Selection evidence

Confusable tool pairs.

2 pairs where similar names or overlapping descriptions may send an agent toward the wrong tool.

Tool A Tool B Confidence Why they collide
load_skill synthesize_skills medium For broad tasks like 'how should I approach testing in this repo', an agent could plausibly call load_skill (single best match) instead of synthesize_skills (cross-source digest), since both accept query+context and cover overlapping 'best practices' phrasing; descriptions do differentiate but require careful reading.
search_skillselion top_skillselion low A vague request like 'show me good MCP servers' could trigger either search (query-driven) or top (leaderboard, no query needed), but top_skillselion has no required query while search does, and their purposes (search vs ranked list) are distinct enough that confusion is unlikely except for very generic browsing requests.

Compare the field

One score is useful.
The evidence makes it actionable.

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