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auto-paper-improvement-loop

Autonomously improve a generated paper via Gemini review through gemini-review MCP → implement fixes → recompile, for 2 rounds. Use when user says "改论文", "improve paper", "论文润色循环", "auto improve", or wants to iteratively polish a generated paper.

65

Quality

79%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./skills/skills-codex-gemini-review/auto-paper-improvement-loop/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

67%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 detailed, actionable, well-sequenced workflow with real validation and feedback loops, undermined by duplicated content and an internal contradiction about the Round 2 review tool. Structure is good but bulkier than necessary for a SKILL.md overview.

Suggestions

Resolve the Round 2 contradiction: Step 5 says to start a fresh review_start while Key Rules says to use review_reply_start to maintain context — pick one and align both sections.

De-duplicate the ~25-line claim-calibration review prompt: factor it into a single reference (e.g. references/review-prompt.md) and have Step 2 and Step 5 point to it, or define it once and reference by variable.

Remove or reconcile the 'Typical Score Progression' Round 3 row, which conflicts with MAX_ROUNDS = 2 stated in Constants.

DimensionReasoningScore

Conciseness

The body is mostly efficient domain-specific guidance, but the long claim-calibration review prompt is duplicated nearly verbatim in Step 2 and Step 5, polling instructions are repeated, and the 'Typical Score Progression' table invents a Round 3 that contradicts MAX_ROUNDS=2.

3 / 5

Actionability

Concrete copy-paste bash (cp, latexmk, pdfinfo, grep) and full MCP prompt templates make the guidance mostly executable, but placeholders like [VENUE] and a contradiction over which MCP tool to use in Round 2 leave minor gaps.

4 / 5

Workflow Clarity

Steps 0–9 are clearly sequenced with explicit validation ('Verify: 0 undefined references, 0 undefined citations') and a format-check feedback loop, but Step 5 ('start a fresh review_start — do not reuse the Round 1 thread') contradicts Key Rules ('Use review_reply_start ... for Round 2 to maintain conversation context'), creating real ambiguity.

4 / 5

Progressive Disclosure

Section headers are clear and shared protocols are signaled via one-level-deep links (../../shared-references/output-versioning.md etc.), but the large inline review-prompt and fix-table blocks—some duplicated—could live in reference files; no bundle files are present.

4 / 5

Total

15

/

20

Passed

Description

91%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, specific description that clearly states both what the skill does and when to use it, with rich bilingual trigger synonyms. The only weakness is minor overlap risk with sibling paper-review skills.

DimensionReasoningScore

Specificity

Quotes 'improve a generated paper via Gemini review through gemini-review MCP → implement fixes → recompile, for 2 rounds' name the domain plus three concrete actions (review, fix, recompile) with a round count, but coverage stops short of comprehensive (no mention of format check, logging, or recovery).

4 / 5

Completeness

It explicitly answers what ('Autonomously improve a generated paper via Gemini review ... implement fixes → recompile, for 2 rounds') and when ('Use when user says ...') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Quotes '改论文', 'improve paper', '论文润色循环', 'auto improve', and 'iteratively polish a generated paper' give comprehensive natural trigger coverage with bilingual synonyms a user would actually say.

5 / 5

Distinctiveness Conflict Risk

The Gemini-review + generated-paper niche with explicit trigger phrases is mostly distinct, but it shares triggers and purpose with the Codex /auto-paper-improvement-loop and /auto-review-loop variants, creating minor overlap risk.

4 / 5

Total

18

/

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

relative_links

Relative link issues: 3 suspicious

Warning

Total

15

/

16

Passed

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

Table of Contents

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