Skill audit report

sw-chinese-opera-qupai-cases Audit report.

Worked qupai-system (曲牌体) opera scripts, act by act. Guan Hanqing's three surviving zaju (窦娥冤/救风尘/金线池 — twelve acts, 126 tunes, one mode and one rhyme per act, sung/spoken ratios); Tang Xianzu's 牡丹亭 (55 scenes, ~420 tunes, 集唐 closing quatrains, the 圆驾 south-north composite suite); Kong Shangren's 桃花扇 (44 scenes plus four unnumbered, the 副末 frame line, upper/lower halves, a fan's seven transformations, his sixteen 凡例); 长生殿 (Wang Jilie's fifty-scene staging table); Wei Minglun's 巴山秀才 (1983 Sichuan 高腔, 43 tunes, nine 帮腔 passages). Every case states its edition and collation status, then structure, tunes, stage conventions and transferable devices. Method is in sw-chinese-opera-qupai; this skill holds the worked scripts. Use when you want a real example of how a 传奇 or 杂剧 is assembled, need actual scene counts and tune counts to imitate, are judging where a famous script breaks prosody, or need models for 副末开场, 集唐下场诗, 南北合套 or 帮腔 (曲牌体全本/牡丹亭/桃花扇/窦娥冤/救风尘/长生殿/巴山秀才/唱段表/结构表).

REVIEWED · REVIEWNeeds reviewGenerated Nov 8, 2026Heuristic metadata audit
81
Audit
83
Trust
69
Quality
84
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

83
Strong shortlist

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

PASS

86

1.2K GitHub stars

Stars/forks activity

INFO

77

1.2K stars, 127 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add jtydhr88/screenwriting-skills --skill sw-chinese-opera-qupai-cases

Install command safety

PASS

92

standard package or runtime install path

Permission surface

PASS

100

no high-risk permission surface in public metadata

Repository evidence

PASS

86

https://github.com/jtydhr88/screenwriting-skills/tree/main/plugins/screenwriting/skills/sw-chinese-opera-qupai-cases

Review status

WARN

46

AI review approval is missing

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

9 Passed · 5 Needs review

Install path

92

PASS

npx skills add jtydhr88/screenwriting-skills --skill sw-chinese-opera-qupai-cases

Repository

88

PASS

https://github.com/jtydhr88/screenwriting-skills/tree/main/plugins/screenwriting/skills/sw-chinese-opera-qupai-cases

License

86

PASS

MIT

Maintenance

88

PASS

2mo since push

AI review

55

CHECK

Review approval is missing

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Install command safety

92

PASS

standard package or runtime install path

Permission surface

100

PASS

no high-risk permission surface in public metadata

Stars/forks activity

77

CHECK

1.2K stars, 127 forks; issue activity unavailable in current metadata

Adoption

88

PASS

1.2K GitHub stars

Warnings

  • AI review approval is missing
  • Quality score needs review
  • Review status: AI review approval is missing

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

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