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auto-research

Deep strategic research engine — decomposes questions into parallel research threads, spawns multiple agents, and synthesizes into actionable strategic analysis

54

Quality

61%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./.claude/skills/auto-research/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

63%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 content is well-structured and highly actionable with clear phasing and error handling, but it is a monolithic file with some repetition and inlined material that would benefit from being split into reference files.

Suggestions

Extract the full agent prompt template and output document structure into a referenced file (e.g. references/agent-prompt.md) and keep SKILL.md as an overview, improving progressive disclosure.

De-duplicate the emerging-tech instructions that recur in Phase 2, Phase 3, and the Example to tighten conciseness.

Add an explicit validate→fix→retry checkpoint (e.g. re-run a failed/low-quality thread once with alternative terms before documenting the gap) to push workflow clarity toward 5.

DimensionReasoningScore

Conciseness

The body is mostly efficient but repeats the emerging-tech guidance across Phase 2, Phase 3, and the Example section, and inlines full prompt/document templates that could be tightened.

3 / 5

Actionability

It provides a complete, copy-paste-ready agent prompt template and a fully specified output document structure, giving concrete executable guidance with only minor gaps.

4 / 5

Workflow Clarity

The four phases are clearly sequenced with explicit checkpoints (user confirmation before launch, synthesis after all agents complete) plus an Error Handling section, though it lacks a strict validate→fix→retry checklist.

4 / 5

Progressive Disclosure

There are no bundle files; everything is inlined in one well-sectioned SKILL.md, but the large prompt and document templates that could live in separate reference files are kept inline.

3 / 5

Total

14

/

20

Passed

Description

58%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 specific and action-oriented but lacks any explicit 'when to use' trigger clause, capping its completeness and trigger-term quality. Adding a 'Use when...' sentence with natural user phrases would lift the two weakest dimensions.

Suggestions

Append a 'Use when...' clause with natural trigger phrases users actually say, e.g. 'Use when the user asks for strategic analysis, market research, a deep dive, or evidence-based decision support.'

Add common synonyms and phrasings to the description (e.g. 'market analysis', 'competitive landscape', 'deep dive') to improve trigger-term coverage.

Tighten the action list so the full capability set is clearly enumerated, pushing specificity toward comprehensive coverage.

DimensionReasoningScore

Specificity

The description lists several concrete actions — 'decomposes questions into parallel research threads, spawns multiple agents, and synthesizes into actionable strategic analysis' — with only minor gaps in coverage.

4 / 5

Completeness

It clearly answers 'what' the skill does but provides no explicit 'when/Use when...' trigger guidance, which per the judging guidelines caps completeness at 3.

3 / 5

Trigger Term Quality

It includes relevant terms like 'research' and 'strategic analysis' but misses common natural variations and synonyms a user would actually say, so it sits at the 'some relevant keywords' anchor rather than full coverage.

3 / 5

Distinctiveness Conflict Risk

The 'parallel research threads' + 'spawns multiple agents' framing carves a mostly distinct niche with only minor overlap risk against generic research/analysis skills.

4 / 5

Total

14

/

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.

Validation15 / 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
huytieu/COG-second-brain
Reviewed

Table of Contents

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