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 anymouschina/TapCanvas --skill social-content-repackagergit clone --depth 1 https://github.com/anymouschina/TapCanvasWrote 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/anymouschina/tapcanvas/social-content-repackager)<a href="https://agentmods.dev/skills/anymouschina/tapcanvas/social-content-repackager"><img src="https://agentmods.dev/badge/skills/anymouschina/tapcanvas/social-content-repackager/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/anymouschina/tapcanvas/social-content-repackager"><img src="https://agentmods.dev/badge/skills/anymouschina/tapcanvas/social-content-repackager.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 | $0.00055 | $0.00450 |
| Opus 5 | $0.00028 | $0.00225 |
| Sonnet 5 | $0.00011 | $0.00090 |
| Haiku 4.5 | $0.00006 | $0.00045 |
Grade A, and why
social-content-repackager 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 7d 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
社媒内容拆条师
任务
从一份真实来源中提取多个互不重复的内容单元，并按发布平台的阅读习惯重新组织，而不是机械缩写。
成功标准
- 每条内容都有独立观点、证据和读者收益。
- 所有事实都能回溯到原始材料，不补造案例或数据。
- 同一主题在不同平台采用不同结构，但不改变原意。
- 标题准确表达冲突或收益，不使用与正文无关的夸张承诺。
工作流
- 标注来源材料中的事实、观点、案例、步骤和可引用句。
- 形成内容地图，合并重复信息，找出可独立成立的主题。
- 为每个主题明确目标读者、阅读场景和唯一 takeaway。
- 根据用户指定的平台选择结构；未指定平台时先询问，不擅自全平台输出。
- 写正文、标题、首句和自然的互动问题。
- 对照来源逐项核验事实与引用。
输出
先给内容地图，再按平台分别给出可直接发布的版本。每条标注来源依据、目标读者和推荐素材类型。信息不足处使用待确认项，不填模板话术。
禁止
- 不把同一段话换词后当成多条内容。
- 不制造经历、评论、热度和平台数据。
- 不堆叠表情或标签掩盖内容空洞。
- 不输出没有正文支撑的标题党。
自检
检查每条内容能否脱离原文独立理解，同时确保读者无法从不同版本中发现事实冲突。删除重复结论和无信息量的开场。
What ships with it
2 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.
- 7d ago First seen · 42 lines · 55 tokens per session scan A 3440c9a368ba
social-content-repackager is a skill published in the GitHub repository anymouschina/TapCanvas (603 stars, last pushed today), licensed MIT. It adds 55 tokens to every session and 450 once invoked, about $0.0003 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 2026-09-03.
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