CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

researchwrite

Compose, revise, or audit research proposals, opening reports, and research plans from supporting evidence. Use for 研究计划、开题报告、科研项目申请书. Invoked as researchwrite for compatibility; use nature-writing for general manuscript sections.

Quality

83%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

75%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 well-structured overview body: concise skill-specific principles, a mode dispatch table, a concrete project file layout, and a clearly sequenced QA pipeline with thresholds and a capped feedback loop, plus a complete one-level-deep reference index verified against the bundle. Main deductions are the dangling 'manifest.yaml'/'templates/' references, mild duplication between the dispatch table and reference index, and the primary writing workflow's sequence being delegated entirely to reference files.

Suggestions

Create the referenced 'manifest.yaml' and 'templates/' (or update the body to point at the actual on-demand routing paths) so '先读取 manifest.yaml' and the template routing are resolvable — this affects both actionability and progressive_disclosure.

Merge the mode-dispatch table and the reference index rows for compose-mode/revise-mode/hybrid-mode into a single table to remove duplication and trim the QA '使用方法' dialogue examples to one line each.

Add a short numbered pipeline in the body for the core compose/revise flow (foundation files → argument map → section contracts → draft → QA) so the primary workflow's sequence is readable without loading a mode reference first.

DimensionReasoningScore

Conciseness

The body is a lean, skill-specific state-machine spec with no explanation of concepts Claude already knows, but the mode dispatch table and the reference index both enumerate the same three mode files, and the QA '使用方法' dialogue examples could be tightened — minor trim opportunities that fall just short of 'every token earns its place'.

4 / 5

Actionability

Provides concrete executable guidance — named standard files, state.json fields, per-tier thresholds (7.0/5.0), ordered gates, and a capped retry loop ('不超过 3 轮') — but instructs '先读取 manifest.yaml' and routes templates from 'templates/', neither of which exists in the bundle, a dangling executable path that keeps it below fully executable.

4 / 5

Workflow Clarity

The QA pipeline has an explicit ordered sequence with rationale ('Gate 2 在 Gate 1 之前'), per-tier thresholds, validation gates, and a targeted fallback loop. However, the primary compose/revise '9 步流程' steps live only in reference files and the foundation-file→draft ordering in the body is implicit rather than an enumerated pipeline — clear sequence with minor validation/sequencing gaps, not the explicit end-to-end validation of a 5.

4 / 5

Progressive Disclosure

Scored against the actual bundle: all 20 indexed reference files exist, are one level deep, and each row carries an explicit load condition — good structure and easy navigation. The missing 'manifest.yaml' and 'templates/' paths referenced by the body are a minor organization gap that prevents the top score.

4 / 5

Total

16

/

20

Passed

Description

87%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: third-person, concise, with concrete actions, an explicit bilingual 'Use for' trigger clause, and explicit deconfliction against the nearest related skill. The only weakness is moderate trigger/coverage gaps around review-paper (综述) writing and English synonyms such as 'grant application'.

DimensionReasoningScore

Specificity

Names several concrete actions ('Compose, revise, or audit') across three specific artifact types ('research proposals, opening reports, and research plans'), but review-paper/综述 writing — a substantial capability documented in the body — is absent from the description, leaving minor gaps in coverage rather than the comprehensiveness of a 5.

4 / 5

Completeness

Explicitly answers 'what' ('Compose, revise, or audit research proposals, opening reports, and research plans from supporting evidence') and 'when' with a concrete 'Use for' clause listing trigger phrases in two languages, matching the anchor for clearly and explicitly answering both with concrete triggers; the 4 anchor's weaker 'when' does not apply.

5 / 5

Trigger Term Quality

Includes natural trigger terms in both English and the exact Chinese phrases a user would say ('研究计划、开题报告、科研项目申请书'), but misses common variations such as 综述/review papers, 'grant application', or 'thesis proposal'. Good coverage, a few natural terms missing — matches the 4 anchor, above 'some relevant keywords' (3) and below comprehensive synonym coverage (5).

4 / 5

Distinctiveness Conflict Risk

Clear niche (academic proposal/开题 writing) with distinct bilingual triggers, and an explicit boundary redirect ('use nature-writing for general manuscript sections') that deconflicts the closest related skill — minimal conflict risk rather than the minor overlap of a 4.

5 / 5

Total

18

/

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.

Validation — 14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

Total

14

/

16

Passed

Repository

Yuan1z0825/nature-skills

Path

skills/nature-proposal-writer/SKILL.md

Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.