SkillRanker
A Rust CLI ranks installed agent skills against live session context with Jev, then applies abstention and local feedback around the typed result.
A Rust CLI ranks installed agent skills against live session context with Jev, then applies abstention and local feedback around the typed result.
SkillRanker combines the current request, recent conversation and tool evidence, workspace signals, and visible skill inventory. Jev compares candidates broadly, then evaluates richer excerpts for a shortlist; a none-of-these option supports abstention. The result advises the agent, which retains control over what to load.
Is there evidence of repeated failure on the current task in this session?
Rendered session context and the admitted skill roster, including available skills for the next step.
Explicitly requested skills are resolved locally before probabilistic ranking.
The tool discovers visible skills and session context; Quill narrows very large inventories locally.
Jev compares the candidate roster and then evaluates richer excerpts from a shortlist, including abstention.
The CLI emits an advisory result with exclusions and evidence for inspection or replay.
It treats skill selection as a per-step routing decision and pairs Jev’s ranking with local identity checks, explanations, replay, and non-blocking fallback behavior.