by yanhua1010 · Claude Skill · ★ 642
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/plugin marketplace add yanhua1010/self-media-content-workflow
npx skills add yanhua1010/self-media-content-workflowTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 642 |
| Forks | 83 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 65/100 |
| Open Issues | 1 |
| Last Updated | 2026-11-03 |
| Created | 2026-07-22 |
| Platforms | claude-code, python |
| Est. Tokens | ~14k |
Self Media Skills 简体中文 | English 一套通用、模块化的自媒体内容生产与经营 Agent Skills：从模糊需求到创作简报、账号策略、热点与竞品研究、平台原生文案、短视频方案、数字人视频制片、公众号排版发布、数据复盘和交付归档，覆盖内容生产的完整闭环。 工具无关 — 不绑定特定模型、浏览器、图片、视频、发布或数据服务，运行时自动发现当前环境的可用能力 平台原生 — 同一母题共享事实与证据，为每个平台分别设计标题、开头、结构和行动 人工在环 — 方向、平台、标题、终稿、发布授权五个强制确认点，默认只产出草稿或发布包，从不自动群发 证据优先 — 关键数字必须有来源，区分事实、判断、推断与建议，不编造数据、体验和收益 视觉体系化 — 内置 8 套配图风格预设与平台路由，先选风格再出图，同组不混用，账号偏好优先于预设默认值...
These tools work well together with self-media-content-workflow for enhanced workflows:
Looking for a self-media-content-workflow alternative? If you're comparing self-media-content-workflow with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
微信公众号 AI 运营助手 | 选题、写稿、审稿、排版、配图、发布全流程 Skill，支持 OpenClaw / Claude Code / Cursor / Codex
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: