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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」「升级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".

Quality

94%

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

92%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.

This is a strongly engineered orchestration skill: a six-step workflow where every step states its purpose, pass conditions, and artifacts, backed by real verification scripts and a disciplined split between the what/why overview in SKILL.md and the how in one-level-deep playbooks. The only dimension below ceiling is conciseness, due to motivational/persona prose and the inline version-check procedure that could live in a reference file.

DimensionReasoningScore

Conciseness

The body is dense and instructional throughout — specific counts (5–8 招式, 12 案例卡, 不少于 8 条, 350 行内), tables, and no explanations of concepts Claude already knows — but the epigraph, the "你是谁" persona section, and the detailed "版本检查" operational template are instances that could be trimmed or moved to a reference. This matches anchor 4 (efficient with minor over-explanation) rather than anchor 5's every-token-earns-its-place.

4 / 5

Actionability

Guidance is fully executable for an instruction-only skill: copy-paste commands ("python3 $NUWA/scripts/merge_research.py $OUT", "python3 $NUWA/scripts/quality_check.py $OUT", the exact git ls-remote invocation), exact output paths, per-step deliverable formats and counts, a named source whitelist (晚点、财新、36氪…), and degradation paths for constrained environments — matching anchor 5.

5 / 5

Workflow Clarity

The six-step flow (定题 → 先验快照 → 采集与封存 → 提炼 → 成形 → 验证) is explicitly sequenced, each step with purpose, pass conditions, and artifacts; validation is built in (merge_research.py summary checks, quality_check.py "修到没有 ✗", two-arm blind validation with a scoring agent), with an explicit feedback loop ("不合格就改,最多两轮") and one clearly signaled mid-point user checkpoint — matching anchor 5 including feedback loops and checklists.

5 / 5

Progressive Disclosure

SKILL.md functions as an overview: a resource table maps every bundle file to when to read/run it, all referenced files (8 references, 4 scripts) exist in the bundle, references are one level deep with no nesting, and the how-to detail is appropriately deferred to per-stage playbooks — matching anchor 5's clear overview with well-signaled one-level-deep references.

5 / 5

Total

19

/

20

Passed

Description

95%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 an exemplary two-language trigger specification: it states a concrete what (research → extraction → runnable Skill generation) and a rich, natural set of when-triggers covering explicit names, fuzzy needs, and update/upgrade intents. The only minor gap is that it does not mention the validation/fidelity stage of the pipeline.

DimensionReasoningScore

Specificity

The description states several concrete pipeline actions — "自动深度调研→思维框架提炼→生成可运行的人物Skill" plus a diagnosis path "模糊需求→诊断推荐→再蒸馏" — with concrete input types. It falls short of anchor 5 only because later stages (e.g., validation/fidelity testing) are not mentioned, and it is clearly above anchor 3's '1-2 concrete actions'.

4 / 5

Completeness

It explicitly answers 'what' (deep research → framework extraction → generate a runnable person Skill, with two entry paths) and 'when' (a dedicated, concrete trigger-word list including fuzzy-need triggers), which is exactly anchor 5's 'both what AND when with concrete trigger phrases'.

5 / 5

Trigger Term Quality

Comprehensive natural trigger coverage in both languages: 「造skill」「蒸馏XX」「女娲」「XX的思维方式」「做个XX视角」「更新XX的skill」, vague-need phrasings like 「我想提升决策质量」「我需要一个思维顾问」, and English variants "distill [person]", "how does [person] think", "I need a thinking advisor" — matching anchor 5's comprehensive coverage including synonyms.

5 / 5

Distinctiveness Conflict Risk

A clear niche (distilling a person's thinking into a Skill) with distinctive triggers like 「女娲」「蒸馏XX」 that no other skill category would claim; conflict risk is minimal, matching anchor 5.

5 / 5

Total

19

/

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

referenced_paths_exist

Referenced path issues: 1 missing

Warning

Total

15

/

16

Passed

Repository

alchaincyf/nuwa-skill

Path

SKILL.md

Reviewed

Table of Contents

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