Real Skill packageSource verifiedClawHub registry

penguin-methodology

腾讯工作方法论（执行纪律层）——赛马机制/做减法/10·100·1000 法则/ 小步快跑灰度验证/数据直觉双驱动。提取自 tanweai/pua 的腾讯味 方法论（methodology-tencent.md + flavors.md 腾讯节），应用到套件 S1-S5 的执行方式：方案怎么选、功能怎么砍、用户怎么看、版本怎么发。 触发：oss-workflow S2 P3 方案取舍/S5 建仓功能清单/版本发布节奏 Gate； 「用腾讯方法论跑这个」「赛马式出方案」「砍功能」。 不触发：通用项目管理咨询。

Identity and source

Publisher attributionLeoregistry owner unverified by skillvetai
Functional categorySoftware Developmentautomatically inferred · 59% rule confidence
Package forminstruction bundle2 recorded files
Canonical sourceClawHub registryclawhub:qikairo7:penguin-methodology
Open canonical source ↗

Platform declarations

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OpenClawnative officialProvenance: registry distribution

Independent structural checks

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Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 9/29/2026.claude/skills/penguin-methodology

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 9/29/2026.agents/skills/penguin-methodology

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 9/29/2026skills/penguin-methodology

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

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clawhub install @qikairo7/penguin-methodology
clawhub inspect @qikairo7/penguin-methodology --version 1.0.0

Security evidence

SkillVetAI static result: no findings detected

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Status
completed
Coverage
full text content
Files
2 / 2 inspected as text
Checked
9/29/2026, 5:42:26 AM
Scanner
0.1.3
Policy
1.0.3
1 inferred permission indicators
  • network access — automatically inferred
1 dependency and API indicators
  • api: clawhub.ai
External clawhub result: clean

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Evidence checked
9/28/2026, 10:16:44 PM
Release binding
Matches this record
  • vt: clean
  • skillspector: suspicious
  • llm: clean

Recorded files

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Package content hashsha256:5c531cbbf95a72a32a2587a9fc7a2d11b3e25b2df2fb38d102f4bfc9724229d3
Show up to 2 recorded paths
  • skill-card.md
  • SKILL.md

Source changelog

Initial release of penguin-methodology skill, providing Tencent-inspired execution methodology for the S1–S5 suite. - Introduces 5 core execution discipline rules: parallel solution (赛马机制), subtraction over addition (做减法), user perspective (10·100·1000法则), rapid iteration with grayscale validation (小步快跑灰度验证), and data + intuition dual drive (数据直觉双驱动). - Includes self-checklist and explicit anti-patterns for each rule, plus escalation prompts to encourage best practices. - Provides reusable templates for diagnosis, sprint kickoff, and sub-agent prompts. - Designed to work in conjunction with oss-workflow, oss-voice, and related orchestration layers. - Not a standalone entry; to be invoked as part of suite execution process, enforcing checklist-driven delivery.