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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 8%, unconfirmed writes 0%→0%.

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

0.0 / 30

0.0 out of 30
02Legibility

29.1 / 30

29.1 out of 30
03Economics

20.0 / 20

20.0 out of 20
04Discoverability

13.8 / 20

13.8 out of 20

Highest-impact fix

Estimated gain +30 points

Add explicit identity and permission preflight tools

Expose machine-readable principal/tenant confirmation and a non-mutating permission check so agents can verify both before destructive actions.

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"). Returns a ranked list of matching listings (skill ids, MCP/plugin names, plus relevance and community-signal context) so you can feed an id to load_skill; omit type to search all listing types and use limit to cap results.
top_skillselion
no_return_description
List the top entries on Skillselion (the leaderboard), optionally by type. Skills rank by installs; MCP servers and marketplaces by GitHub stars. Returns the ranked leaderboard entries — the names/ids and ranking metadata for the top listings in the chosen category — so you can see what the community trusts most or pick a starting point to load. Use type to restrict to skill, mcp, or marketplace, and limit to cap how many entries come back.

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 A task phrased as a domain question, e.g. "what's the current best way to do e2e testing in my repo", sits on the fuzzy boundary: load_skill covers 'tasks a skill likely covers with a proven recipe', while synthesize_skills covers 'broad best-practices across several skills'. The definitions cross-reference each other, so an agent deciding between 'one skill's recipe' vs 'merged field guidance' can plausibly pick wrong for a single vaguely-broad query.
search_skillselion top_skillselion low search_skillselion requires a semantic query while top_skillselion is a query-less leaderboard; the only shared link is the brand token 'skillselion'. Confusion would need a task like 'list the best postgres skills', but 'list/top' strongly signals the leaderboard and 'for <topic>' strongly signals search, and both descriptions make the distinction explicit.

Compare the field

One score is useful.
The evidence makes it actionable.

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