Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add yanhua1010/self-media-content-workflow --skill self-media-content-deliverygit clone --depth 1 https://github.com/yanhua1010/self-media-content-workflowWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/yanhua1010/self-media-content-workflow/self-media-content-delivery)<a href="https://agentmods.dev/skills/yanhua1010/self-media-content-workflow/self-media-content-delivery"><img src="https://agentmods.dev/badge/skills/yanhua1010/self-media-content-workflow/self-media-content-delivery/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/yanhua1010/self-media-content-workflow/self-media-content-delivery"><img src="https://agentmods.dev/badge/skills/yanhua1010/self-media-content-workflow/self-media-content-delivery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00103 | $0.00663 |
| Opus 5 | $0.00051 | $0.00331 |
| Sonnet 5 | $0.00021 | $0.00133 |
| Haiku 4.5 | $0.00010 | $0.00066 |
Grade A, and why
self-media-content-delivery scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
内容交付
核心纪律
- 里程碑产出保存成文件。
- 保存后回读验证文件存在且非空。
- 只向用户交付验证过的路径。
- 保留历史版本，不静默覆盖定稿。
- 遵守当前项目的文件类型、目录和命名规则。
确定输出根目录
按以下顺序选择：
- 用户明确指定的路径。
- 项目说明中已有的内容目录。
- 当前工作区下的
self-media/。
目录不存在时，只创建当前交付需要的目录。不要在项目根目录散落文件。
何时保存
保存：
- 某平台第一版完整成稿。
- 多平台完整合集。
- 分镜、口播、字幕或拍摄方案。
- 用户确认的定稿。
- 发布包和数据复盘。
- 用户明确要求保存的内容。
不单独保存：
- 几个候选标题。
- 单句行动或标签调整。
- 尚未形成完整产物的聊天片段。
版本规则
- 记录草稿、修改稿、定稿和发布版的阶段。
- 文件名采用项目现有规范。没有规范时使用
YYYY-MM-DD-{platform}-{slug}-vN.md。 - 新里程碑递增版本号。用户明确要求覆盖时才覆盖。
- 在内容注册表中记录任务、平台、原稿、终稿、素材、状态、链接和复盘。
可使用 content-registry-template.md。
交付检查
完整读取 delivery-checklists.md，按平台检查标题、正文、摘要、封面、素材顺序、标签、商业披露和发布字段。
保存后执行：
- 回读文件。
- 确认大小大于 0。
- 检查文件名、版本和目录。
- 检查文中素材路径存在。
- 报告已验证路径和降级项。
用户沟通
使用自然表达：
- “已保存成文件”，不说“已落盘”。
- “已放进作品库”，不说“已登记索引”。
- “这是第 2 版”，不暴露内部阶段字段。
- “发布需要的素材”，不堆叠内部交付术语。
输出
返回：成品路径、版本、包含内容、验证结果、缺失项和下一步唯一动作。
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 76 lines · 103 tokens per session scan A 6f2d108acb05
self-media-content-delivery is a skill published in the GitHub repository yanhua1010/self-media-content-workflow (480 stars, last pushed 20d ago), licensed MIT. It adds 103 tokens to every session and 663 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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