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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.

75

Quality

93%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

86%Weight 40%Scale 1-5

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

The body is a well-structured capability skill: concrete commands, clear gating on when to use the tool, and clean externalization of detail into two real reference files. Minor conciseness trims and the absence of an error-recovery feedback loop keep two dimensions at 4.

Suggestions

Tighten the 'What `trellis mem` is' and 'capability skill, not a workflow' framing to one or two sentences each to reclaim tokens without losing the key scoping message.

Add a brief note on what to do when `trellis mem` returns no matches or errors (e.g. CLI not installed / no indexed sessions), giving the recall flow a small feedback/checkpoint step.

DimensionReasoningScore

Conciseness

Efficient and assumes Claude's competence (no padding about CLIs/JSONL), but a few sentences — the 'intentionally a capability skill, not a workflow' framing and the OpenCode caveat — could be trimmed without losing clarity.

4 / 5

Actionability

Provides copy-paste-ready `trellis mem` commands with concrete flags (search, extract --phase, context --turns/--around, list --cwd, projects) covering the 80% common cases.

5 / 5

Workflow Clarity

Clear sequence (when to reach → when not → what to do with output → how to call) with explicit gating ('If none of these apply, don't call mem'); appropriate for a read-only recall skill, with only minor validation gaps versus a full feedback-loop workflow.

4 / 5

Progressive Disclosure

Clear overview body with two well-signaled one-level-deep references (`references/cli-quick-reference.md`, `references/triggering-patterns.md`), both real files, no nested references — content appropriately split for easy navigation.

5 / 5

Total

18

/

20

Passed

Description

100%Weight 40%Scale 1-5

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

The description is exemplary: third-person voice, concrete actions, rich bilingual trigger phrases, and explicit what/when guidance all present. It cleanly scopes the capability and its triggers with minimal conflict risk.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Reach into past AI conversation history', 'Returns raw past dialogue', plus the four disposition actions (update spec, append to task notes, quote inline, internalize) — covering the full action space of the capability comprehensively.

5 / 5

Completeness

Explicitly answers both what ('Reach into past AI conversation history… Returns raw past dialogue') and when ('Use whenever the user asks…') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Comprehensive natural trigger phrases in both English and Chinese ('how did we solve X last time', '上次怎么解的', '之前讨论过吗', '想起一段对话') plus situational triggers, covering synonyms and bilingual variants a user would actually say.

5 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (cross-session past-conversation recall via the `trellis mem` CLI) with distinct triggers and explicit boundary against current-turn/prd/git/sub-agent contexts, minimizing conflict risk.

5 / 5

Total

20

/

20

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
EcoPasteHub/EcoPaste
Reviewed

Table of Contents

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