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trellis-channel

Use Trellis channel for live multi-agent collaboration, spawned workers, cross-agent review, progress inspection, forum channels, and channel log debugging.

76

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

87%

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

A well-structured index skill: concise, actionable, and exemplary in its progressive disclosure with verified one-level references. The main gap is workflow_clarity, where multi-step dispatcher/spawn operations lack explicit ordered validation checkpoints.

Suggestions

Add an explicit numbered sequence for the dispatcher wait pattern (spawn worker → poll for --kind done/turn_finished → inspect raw output on stall → act), with a validate-and-retry loop.

Surface a short validation checkpoint after 'First Commands' (e.g., confirm channel appears in `trellis channel list --all` before proceeding to inspect/forum operations).

For risky worker-kill or interrupt flows, add a checklist-style step list so destructive actions are gated on explicit verification.

DimensionReasoningScore

Conciseness

Lean index-style body that assumes Claude's competence — no definitions of what a channel or worker is, only operator-relevant rules and routing, with every token earning its place.

3 / 3

Actionability

Provides concrete, copy-paste-ready commands ('trellis channel forum <board> --scope global', '--kind done / --kind turn_finished') plus a precise intent→reference routing table rather than abstract direction.

3 / 3

Workflow Clarity

Sequencing is implied via 'First Commands' then 'Route By User Intent', but multi-step operations (e.g., dispatcher wait pattern) lack explicit ordered checkpoints and validation/feedback loops despite involving spawned workers and interrupts.

2 / 3

Progressive Disclosure

Clear one-level-deep index: body routes by intent to five real, well-signaled reference files (all verified present in references/), with a dedicated 'Reference Files' map and an explicit 'load only the reference file for the current job' instruction.

3 / 3

Total

11

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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 names specific capabilities and supplies bilingual natural-language triggers. It clearly answers both what the skill does and when to use it with low conflict risk against adjacent skills.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'spawned workers', 'cross-agent review', 'progress inspection', 'forum channels', and 'channel log debugging' — rather than vague language.

3 / 3

Completeness

Explicitly states what the skill does (collaboration, workers, review, inspection, forums, debugging) and when to reach for it via 'Use Trellis channel for...' trigger framing and the user-signal list.

3 / 3

Trigger Term Quality

Captures natural user phrasings in both languages ('和 codex/claude 讨论', 'brainstorm with another agent', 'spawn an implement/check worker') alongside concrete tool nouns, giving broad real-world coverage.

3 / 3

Distinctiveness Conflict Risk

The 'Trellis channel' / multi-agent-collaboration niche is distinct, and the 'Not For' boundary (vs static review and vs `trellis mem`) keeps it from triggering for adjacent 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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