Conciseness

The body is mostly lean instruction, but it embeds time-sensitive version information ('Since v0.4.11, project-local .memsearch.toml accepts only allowlisted local indexing keys') outside any deprecated/old-patterns section, which the rubric penalizes, plus trimmable rationale sentences ('The background pass mines automatically when enabled... so the result can be more accurate'). Not 4 because these are more than minor instances; not 2 because there is no padding explaining concepts Claude already knows.

Actionability

Provides copy-paste-ready commands for the core flows — the full 'memsearch skills add --name ... --body-file -' invocation with a printf example, 'skills status/list', 'git -C .memsearch/skill-candidates log', and the config get/set commands. Not 5 because the transcript drill in section C, a key operation, defers the exact command to 'the memory-recall skill's platform reference', which is outside this bundle; clearly above 3 since the given commands are executable, not pseudocode.

Workflow Clarity

The A/B/C/D flows are clearly sequenced with explicit validation and feedback loops: 'if a step looks uncertain or loosely summarized, re-check it against the source... or flag it to the user', 'reinstall only after reviewing the candidate', an interactive install checkpoint with destination confirmation, and empty-list branching in B. Destructive/batch operations (install, config changes) are guarded by explicit confirmation steps and the Guardrails section, so no cap applies.

Progressive Disclosure

Platform-specific config-prefix and install-path details are correctly split into five real one-level-deep reference files (references/claude-code.md, codex.md, openclaw.md, opencode.md, dsh.md — all present in the bundle), each clearly signaled with a platform mapping list up front, and the body keeps only the cross-platform workflow. Matches the clear-overview with well-signaled one-level references anchor.

Specificity

Lists several specific actions — create a skill from recent work ('Turn workflows from your MemSearch memory into reusable skills'), 'review skill candidates', 'install a distilled skill', and managing the candidate store — with minor gaps (the configure/history-mining intents from the body are not surfaced). Not 5 because the creation verbs ('make/create/extract/distill') are near-synonyms of one operation rather than distinct concrete actions; not 3 because coverage goes well beyond 1-2 actions.

Completeness

Explicitly answers both: what ('Turn workflows from your MemSearch memory into reusable skills... Manages MemSearch procedural-memory candidates under .memsearch/skill-candidates/') and when ('Use when the user asks to make/create/extract/distill a skill from what they just did or from past work, review skill candidates, install a distilled skill...'). Concrete trigger phrases match the 5 anchor exactly.

Trigger Term Quality

Natural user phrasing is present and even quoted literally — 'make/create/extract/distill a skill', "'turn this into a skill'", 'review skill candidates', 'install a distilled skill'. Not 5 because common variations like 'save this workflow', 'reuse what we just did', or 'skill from history' are missing; clearly above 3 since synonyms and quoted trigger phrases are included.

Distinctiveness Conflict Risk

Has a clear niche (MemSearch procedural memory) and explicitly disambiguates — 'not the host agent's own skills system' — which lowers conflict risk. Not 5 because a bare request like 'make a skill' could still plausibly trigger it over a generic skill-authoring skill; not 3 because the scoping and store path make overlap unlikely.