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research-plan

科研分析策略规划助手。根据用户的科研分析需求,通过调研顶尖期刊/会议论文的分析方法,制定个性化、可落地的最优分析策略。适用于需要制定实验设计、数据分析流程、技术路线的场景;兼容旧名 make-research-plan 的 prompt 触发。

Quality

66%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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

Quality

Content

56%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 body presents a well-sequenced, structured multi-phase workflow with concrete output schemas and error handling, but is padded with redundant and boilerplate sections, lacks executable commands for several key steps, and has incomplete navigation to its own bundle files. Tightening the duplicated sections and wiring up the unreferenced reference files would lift it substantially.

Suggestions

Reference literature-search-guide.md and methodology-extraction-patterns.md from the relevant workflow steps (e.g. 步骤 1.2 and 步骤 2.1), and remove or fix the dangling references to CHANGELOG.md and config.yaml which are not present in the bundle.

Cut the redundant sections (核心价值, 使用场景, 输入规范 duplicating 阶段 0, and the generic 公共硬约束 boilerplate) or move them to a reference file to reduce token overhead.

Make the 校验 step concrete by naming the actual validation command (e.g. python scripts/validate.py with expected inputs/outputs) and adding an explicit validate-fix-retry loop after PDF download and JSON extraction.

DimensionReasoningScore

Conciseness

The core phased process is operational and free of explanations of concepts Claude already knows, but several padded sections could be trimmed: 核心价值/使用场景 duplicate the description, 输入规范 repeats 阶段 0 inputs, ~25 lines of generic 公共硬约束 boilerplate, and the user-facing advice sections add little instructional value.

3 / 5

Actionability

Concrete artifacts exist (JSON output schemas, scoring thresholds like ≥7 and 15-30 papers, PDF naming formats, named sources like PubMed and Unpaywall), but key execution steps are described rather than instructed (e.g. "AI 语义分析识别 Methods 章节内容"), and implementation-notes.md shows most pipeline scripts are still 'planned', leaving gaps in executable guidance.

3 / 5

Workflow Clarity

The workflow is a clearly sequenced four-phase process (阶段 0-3) with per-step 目标/输出, explicit PDF-download error handling (record failed DOIs, do not block), and a failure/recovery Q&A section; however the 校验 step is generic ("执行 Skill 已有的静态检查、脚本验证") without named commands or explicit validate-fix-retry checkpoints, so it falls short of the score-5 anchor.

4 / 5

Progressive Disclosure

Templates and implementation/script status are deferred one level deep to references/output-templates.md and references/implementation-notes.md, but two of the four reference files (literature-search-guide.md, methodology-extraction-patterns.md) are never referenced from the body, and CHANGELOG.md and config.yaml referenced in the body are absent from the bundle, leaving references partly buried or broken.

3 / 5

Total

13

/

20

Passed

Description

62%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 solid description that clearly states what the skill does and when to use it, with an explicit applicability clause and a legacy-name trigger. Its main weaknesses are limited action enumeration and incomplete coverage of natural trigger synonyms.

DimensionReasoningScore

Specificity

The description names the domain and two concrete actions ("调研顶尖期刊/会议论文的分析方法", "制定个性化、可落地的最优分析策略") but does not enumerate the broader action set (search, scoring, PDF extraction, plan generation), matching the '1-2 concrete actions' anchor.

3 / 5

Completeness

It clearly answers 'what' (survey top-journal/conference methods to produce a personalized, actionable analysis strategy) and includes an explicit when-clause ("适用于需要制定实验设计、数据分析流程、技术路线的场景"), but the trigger guidance could be more specific and concrete, matching the score-4 anchor rather than 5.

4 / 5

Trigger Term Quality

Natural trigger terms like 实验设计, 数据分析流程, 技术路线, and the legacy alias make-research-plan are present, but common variations users would say (e.g. "research plan", "analysis plan", 统计方法选择) are missing, fitting the 'some relevant keywords but missing synonyms' anchor.

3 / 5

Distinctiveness Conflict Risk

The niche (literature-driven research analysis strategy planning) is well-delineated with a distinct legacy alias, but it could minorly overlap with generic literature-review or deep-research skills, so it does not reach the 'clear niche with minimal conflict risk' anchor.

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.

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Repository

huangwb8/ChineseResearchLaTeX

Path

skills/research-plan/SKILL.md

Reviewed

Table of Contents

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