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huashu-nuwa

女娲造人:输入人名/主题/甚至只是模糊需求,自动深度调研→思维框架提炼→生成可运行的人物Skill。 两种入口:(1)明确人名→直接蒸馏 (2)模糊需求→诊断推荐→再蒸馏。 触发词:「造skill」「蒸馏XX」「女娲」「造人」「XX的思维方式」「做个XX视角」「更新XX的skill」。 模糊需求也触发:「我想提升决策质量」「有没有一种思维方式能帮我...」「我需要一个思维顾问」。 English triggers: "distill [person]", "nuwa", "create a [person] perspective skill", "how does [person] think", "I need a thinking advisor".

71

Quality

88%

Does it follow best practices?

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SecuritybySnyk

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The risk profile of this skill

SKILL.md
Quality
Evals
Security

Quality

Content

76%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 a well-structured, highly actionable multi-phase workflow with strong validation checkpoints and real referenced bundle files. Its main weakness is conciseness — the ~670-line body includes padded tables and philosophical framing that could be trimmed — and one unreferenced reference file (fidelity-scorecard.md).

Suggestions

Trim or move the 10-row need-dimension table and source-type mappings into a reference file to reduce the ~670-line body and improve conciseness.

Either reference references/fidelity-scorecard.md from the body (e.g. in Phase 4 quality verification) or remove it, so every bundle file is discoverable.

Condense the philosophical framing sections ('核心理念','最后') into a single terse block to keep every token earning its place.

DimensionReasoningScore

Conciseness

The body runs ~670 lines with several padded sections — e.g. extensive tables of need-dimensions (10 rows), source-type mappings, and philosophical framing ('女娲造的不是人,是一面镜子') — that, while accurate, could be tightened; it respects Claude's intelligence but includes some unnecessary explanation.

3 / 5

Actionability

Provides concrete executable guidance throughout — e.g. 'bash [skill目录]/scripts/download_subtitles.sh <YouTube_URL> [输出目录]', 'python3 .../quality_check.py <SKILL.md路径>', an agent prompt template, and a directory scaffold — with only minor gaps (some prompts are templates rather than fully runnable commands).

4 / 5

Workflow Clarity

The multi-phase pipeline (Phase 0→5) is clearly sequenced with explicit validation checkpoints (Phase 1.5 调研Review, Phase 2.5 提炼确认, Phase 4 验证), feedback loops ('验证不通过→回Phase 2迭代', iteration cap of 2), and a failure/degradation if-then table for risky batch/multi-agent operations.

5 / 5

Progressive Disclosure

Good one-level-deep structure: the body references real bundle files (references/extraction-framework.md, skill-template.md, and 4 scripts confirmed present) with clear '读取 X 获取...' signals; however fidelity-scorecard.md exists in references/ but is never referenced from the body, leaving one orphaned file, so organization is not perfect.

4 / 5

Total

16

/

20

Passed

Description

100%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, trigger-rich, complete, and distinctive — it clearly states what the skill does, when to use it via abundant bilingual trigger phrases, and occupies a unique niche. It is one of the stronger descriptions against the rubric.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — '自动深度调研→思维框架提炼→生成可运行的人物Skill' — plus two distinct entry paths ('明确人名→直接蒸馏', '模糊需求→诊断推荐→再蒸馏'), giving comprehensive coverage of what the skill does.

5 / 5

Completeness

Explicitly answers both 'what' (深度调研→框架提炼→生成人物Skill) and 'when' with concrete trigger phrases in both Chinese and English, and even distinguishes fuzzy-need triggers from explicit-name triggers.

5 / 5

Trigger Term Quality

Comprehensive bilingual trigger coverage including natural phrases ('造skill','蒸馏XX','女娲','造人'), fuzzy-need variants ('我想提升决策质量','我需要一个思维顾问'), and English equivalents ('distill [person]','how does [person] think'), covering synonyms and variants users would actually say.

5 / 5

Distinctiveness Conflict Risk

Has a clear niche ('女娲造人'/人物Skill蒸馏) with highly distinctive triggers like '女娲','造人','蒸馏XX' that are unlikely to collide with other skills, minimizing conflict risk.

5 / 5

Total

20

/

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 (683 lines); consider splitting into references/ and linking

Warning

referenced_paths_exist

Referenced path issues: 4 missing, 2 deeper-than-1-level

Warning

Total

14

/

16

Passed

Repository
alchaincyf/nuwa-skill
Reviewed

Table of Contents

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