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research-refine

Turn a vague research direction into a problem-anchored, elegant, frontier-aware, implementation-oriented method plan via iterative Claude review. Use when the user says "refine my approach", "帮我细化方案", "decompose this problem", "打磨idea", "refine research plan", "细化研究方案", or wants a concrete research method that stays simple, focused, and top-venue ready instead of a vague or overbuilt idea.

67

Quality

81%

Does it follow best practices?

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SecuritybySnyk

Critical

Do not install without reviewing

SKILL.md
Quality
Evals
Security

Quality

Content

77%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.

A thorough, highly actionable iterative-refinement workflow with excellent sequencing and validation checkpoints. Its main weaknesses are redundancy between Overview and Key Rules and a monolithic structure that inlines large templates instead of splitting them into reference files.

Suggestions

Deduplicate the four principles: keep them in Overview and have 'Key Rules' reference them instead of restating each one verbatim.

Move the large proposal markdown template and the Phase 2 reviewer prompt into separate reference files (e.g. references/proposal-template.md, references/reviewer-prompt.md) and link to them, reducing SKILL.md to an overview.

Trim rhetorical padding such as 'The goal is not to produce a bloated proposal or a benchmark shopping list' that does not change the instruction.

DimensionReasoningScore

Conciseness

Mostly efficient for a complex multi-phase skill, but the four Overview principles are restated almost verbatim in the 'Key Rules' section, and rhetorical padding ('The goal is not to produce a bloated proposal or a benchmark shopping list') plus repeated 'Composing with Other Skills' context add tokens that could be trimmed.

3 / 5

Actionability

Fully executable: concrete MCP tool calls with full syntax (mcp__claude-review__review_start / review_reply_start / review_status), complete copy-paste-ready reviewer prompts, JSON checkpoint schemas, and detailed markdown output templates with real file paths.

5 / 5

Workflow Clarity

Phases 0-5 are clearly sequenced with an explicit checkpoint (REFINE_STATE.json) after each phase, a stop condition (overall score >= SCORE_THRESHOLD or MAX_ROUNDS), and a validate -> fix -> re-review feedback loop with checkpoint-recovery logic on resume.

5 / 5

Progressive Disclosure

Good section structure and clearly signaled shared-references links, but the skill is monolithic at ~730 lines with the large proposal template (~90 lines) and reviewer prompt (~70 lines) inlined rather than split into reference files; no bundle files are provided.

3 / 5

Total

16

/

20

Passed

Description

86%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.

A strong description with explicit what/when structure and rich bilingual trigger phrases. It is slightly over-adjectivized on the 'what' side, listing qualities of the output rather than multiple discrete actions.

DimensionReasoningScore

Specificity

Names the domain (research method planning) and one concrete action ('Turn a vague research direction into a ... method plan via iterative Claude review'), but the remaining adjectives (problem-anchored, elegant, frontier-aware) are descriptors rather than distinct concrete actions, so coverage is not comprehensive.

3 / 5

Completeness

Explicitly answers both what ('Turn a vague research direction into a ... method plan via iterative Claude review') and when ('Use when the user says ... or wants a concrete research method ...'), with concrete trigger phrases.

5 / 5

Trigger Term Quality

Comprehensive natural trigger phrases including synonyms and bilingual variants ('refine my approach', 'decompose this problem', 'refine research plan', '帮我细化方案', '打磨idea', '细化研究方案') that users would actually say.

5 / 5

Distinctiveness Conflict Risk

Clear niche (iterative research-method refinement) with distinct 'refine' triggers, but minor overlap risk with sibling research skills (/idea-creator, /experiment-plan) and the somewhat generic 'decompose this problem'.

4 / 5

Total

17

/

20

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (733 lines); consider splitting into references/ and linking

Warning

relative_links

Relative link issues: 4 suspicious

Warning

Total

14

/

16

Passed

Repository
wanshuiyin/Auto-claude-code-research-in-sleep
Reviewed

Table of Contents

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