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meta-cognition-parallel

EXPERIMENTAL: Three-layer parallel meta-cognition analysis. Triggers on: /meta-parallel, 三层分析, parallel analysis, 并行元认知

49

Quality

62%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./skills/meta-cognition-parallel/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

38%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 skill body lays out a clear two-mode workflow with structured templates, but is hampered by duplicated templated content, pseudocode rather than executable guidance, and a lack of any real bundle-based progressive disclosure. Validation of parallel agent results before synthesis is also missing.

Suggestions

De-duplicate the per-layer templates: keep one canonical set and have the Output Template reference it instead of repeating all three layers plus synthesis.

Add a validation checkpoint after Step 3 (Collect Results) that checks each layer result for required fields/confidence before synthesis, with a fix-and-retry loop for incomplete results.

Replace the pseudocode Task() blocks with concrete, copy-pasteable agent-launch instructions, or move the per-layer analyzer prompts into bundled reference files the skill actually ships with.

DimensionReasoningScore

Conciseness

The ~300-line body duplicates the per-layer templates across Inline Mode and the Output Template, and relies heavily on fill-in placeholder scaffolding; while it avoids re-explaining known concepts, the volume of redundant templated content is noticeably verbose.

2 / 5

Actionability

Structured layer templates with concrete fields and focus areas give partial executable guidance, but the Agent Mode Task blocks are pseudocode with placeholder file contents and the layer templates are fill-in markdown rather than copy-paste runnable code.

3 / 5

Workflow Clarity

Steps are clearly sequenced per mode with explicit mode detection and a fallback table, but the parallel batch launch has no validation checkpoint confirming agent results before synthesis, so the batch-operation validation cap applies.

3 / 5

Progressive Disclosure

No bundle files exist and all content is inlined in a single long file; the only references point to external ../../agents/*.md files outside this bundle, and the per-layer templates are duplicated inline rather than split into navigable reference files.

2 / 5

Total

10

/

20

Passed

Description

70%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 clearly communicates a distinct experimental capability with explicit bilingual trigger terms, covering both what and when. Its main weakness is abstract, jargon-heavy action language instead of concrete capability verbs.

DimensionReasoningScore

Specificity

Names the domain ('Three-layer parallel meta-cognition analysis') and a couple of concrete actions (parallel launch, three-layer analysis, synthesis), but the verbs stay abstract ('analysis') rather than naming concrete operations.

3 / 5

Completeness

It states both what the skill does and when to use it via the explicit 'Triggers on:' clause, but the 'what' leans on jargon ('meta-cognition analysis') and the experimental qualifier rather than a fully concrete capability statement.

4 / 5

Trigger Term Quality

An explicit 'Triggers on:' list provides good keyword coverage across a slash command and bilingual synonyms (/meta-parallel, 三层分析, parallel analysis, 并行元认知), with only a few natural variations missing.

4 / 5

Distinctiveness Conflict Risk

The niche three-layer parallel analysis with a dedicated slash command and bilingual triggers is mostly distinct from other skills, with only minor overlap against generic analysis skills.

4 / 5

Total

15

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
actionbook/rust-skills
Reviewed

Table of Contents

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