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trellis-session-insight

Reach into past AI conversation history through the `trellis mem` CLI. Use whenever the user asks 'how did we solve X last time', 'have we discussed this before', 'what was the decision on X', 'remind me what we did in this task', '上次怎么解的', '之前讨论过吗', '想起一段对话', or when starting a brainstorm that overlaps prior work, debugging a familiar bug, continuing a task across sessions, or doing a finish-work review. Returns raw past dialogue; decide for the moment whether to update spec, append to task notes, quote inline in the answer, or just internalize.

80

Quality

100%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

100%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured capability skill body that pairs executable CLI examples with clear decision guidance, keeps the dense reference material in one-level-deep bundle files, and avoids restating concepts Claude already knows. The 'when not to' gate and explicit disposition options give it real workflow clarity even though it intentionally avoids a fixed procedure.

DimensionReasoningScore

Conciseness

Lean and assumes Claude's competence — no explaining of basic CLI or memory concepts; the prose present (multi-platform session-root paths, 'tool not a ceremony') is project-specific knowledge or judgment guidance that earns its tokens rather than filler.

3 / 3

Actionability

Provides concrete, copy-paste-ready bash commands with real flags — 'trellis mem search "<keyword>"', 'extract <session-id> --phase brainstorm', 'context <session-id> --turns 3 --around 2', 'list --cwd <project-path>' — plus concrete phase-boundary semantics.

3 / 3

Workflow Clarity

Explicitly framed as a capability skill rather than a fixed workflow; the 'When to reach' → 'When NOT to reach' → 'What to do with results' decision flow includes an explicit gate ('If none of these apply, don't call `mem`') and a 'When NOT to' checkpoint, which is appropriate for a non-procedural skill.

3 / 3

Progressive Disclosure

SKILL.md is an overview; the full CLI reference and triggering patterns are split into two well-signaled one-level-deep bundle files (references/cli-quick-reference.md, references/triggering-patterns.md), both verified present with no nested references.

3 / 3

Total

12

/

12

Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, concrete description that states the capability, names specific actions, and provides rich bilingual trigger phrasings with an explicit 'Use whenever' clause. The imperative/second-person instruction voice lightly brushes the 'avoid second person' guideline, but it is directive guidance rather than soft 'you can use this' phrasing, and the action specificity holds up.

DimensionReasoningScore

Specificity

Names multiple concrete actions and dispositions — 'Reach into past AI conversation history', 'Returns raw past dialogue', and the four post-retrieval options ('update spec, append to task notes, quote inline in the answer, or just internalize'), which is comprehensive rather than partial.

3 / 3

Completeness

Explicitly answers both 'what' (reach into past conversation history via the `trellis mem` CLI, returning raw dialogue) and 'when' via the 'Use whenever the user asks...' clause with explicit triggers.

3 / 3

Trigger Term Quality

Includes natural verbatim user phrasings in English and Chinese — 'how did we solve X last time', 'have we discussed this before', '上次怎么解的', '想起一段对话' — that users would actually say when needing recall.

3 / 3

Distinctiveness Conflict Risk

Occupies a clear niche — cross-session conversation-memory retrieval through a specific named CLI — with distinctive trigger phrasings unlikely to fire for unrelated skills.

3 / 3

Total

12

/

12

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
mindfold-ai/Trellis
Reviewed

Table of Contents

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