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 Gingiris/gingiris-skills --skill gr-social-distillgit clone --depth 1 https://github.com/Gingiris/gingiris-skillsWrote 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/gingiris/gingiris-skills/gr-social-distill)<a href="https://agentmods.dev/skills/gingiris/gingiris-skills/gr-social-distill"><img src="https://agentmods.dev/badge/skills/gingiris/gingiris-skills/gr-social-distill/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/gingiris/gingiris-skills/gr-social-distill"><img src="https://agentmods.dev/badge/skills/gingiris/gingiris-skills/gr-social-distill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00112 | $0.02230 |
| Opus 5 | $0.00056 | $0.01115 |
| Sonnet 5 | $0.00022 | $0.00446 |
| Haiku 4.5 | $0.00011 | $0.00223 |
Grade A, and why
gr-social-distill 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 9d 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.
This is a copy
89% identical to gr-social-distill — 28 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
gr-social-distill — 博客到社媒复用
核心理念
复用 > 新创。已发 60 篇博客，但社媒只用了一次的话，下一步 ROI 最高的不是写新文，是拆变体（来源：原子库 2026Q2_016）。
一篇 2000-3500 字的博客 → 4 种社媒格式 → 4x 流量放大，而且不需要新内容灵感。
什么时候用
| 场景 | 动作 |
|---|---|
| "把这篇博客拆成 X thread" | X 模板（见下） |
| "做小红书版本" | 小红书模板（75 公式标题） |
| "LinkedIn 怎么发" | LinkedIn carousel 模板（仅 B2B 内容） |
| "dev.to / Zenn 二发" | 技术博客跨平台模板 |
| "每周分发节奏" | 完整 workflow（1 篇博客 → 4 变体） |
输入
- 1 个已发布博客 URL 或
_posts/文件名 - 可选：目标渠道（X / xhs / LinkedIn / dev.to / Zenn / all）
输出
按渠道产出对应 markdown 或 draft 文本，直接可发。
4 渠道模板
1️⃣ X thread（10-15 推）
结构：
[推 1 — HOOK] 一个反常识 / 数据 / 问题引入（≤ 280 字，是否有吸引力决定全盘）
[推 2 — STAKES] 我 X 个月踩过 Y 个坑，结论是...
[推 3-12 — BODY] 每推一个要点。每推 ≤ 280 字。用短句。
[推 13 — TL;DR] 回到 HOOK 的答案
[推 14 — LINK] 链接到原博客 + 1 句 why it's worth clicking
[推 15 — CTA] @WeiYipei if you want the template
原则：
- 每推独立成立，单独截图也能被转发
- 用具体数字代替形容词（"30 天内" vs "很快"）
- 每 3-4 推插 1 张截图 / 表格
- Hook 句型参考：
- "Here's what 60 blog posts taught me about X:"
- "I analyzed 27 X tools. 22 of them aren't worth $0."
- "Stop doing X. I tried it for 90 days. Data:"
详细例句库见 templates/x-thread.md。
2️⃣ 小红书笔记（3-5 张图）
标题公式（75 爆款公式，抄 dbs-xhs-title）：
- 数字派："我测了 27 个 XX 工具，只有 4 个真的免费好用"
- 踩坑派："别再用 XX 了，我花 3 万块换的教训"
- 教程派："手把手教你 5 步搞定 XX（附工具清单）"
- 反差派："用了 3 年 XX，结果发现 Y 才是真香"
- 揭秘派："做 XX 的人不会告诉你的 3 件事"
内容结构（每篇 < 1000 字）：
- 开头 100 字：钩子 + 痛点共鸣
- 正文 600 字：3-5 个要点，每个 100-200 字
- 结尾 100 字：TL;DR + 互动问题
- 加 5-8 个相关 tag：
#出海创业 #SaaS增长 #独立开发者 ...
配图（3-5 张）：
- 图 1：标题图（大字标题 + 关键数字）
- 图 2-4：每张 1 个要点（用手机截图 + 红笔框关键词）
- 图 5（可选）：数据表 / 对比图
详细模板见 templates/xhs-note.md。
3️⃣ LinkedIn carousel（仅 B2B / 技术文）
触发条件：原博客是 B2B / 企业 / 开发者向内容才发 LinkedIn，ToC 内容跳过。
10 页 carousel 结构：
- 页 1：标题（"How we [result] in [time]"，配 key visual）
- 页 2：问题定义（读者 why care）
- 页 3-8：6 个步骤 / 要点，每页 1 个
- 页 9：数据结果（before/after 对比）
- 页 10：CTA（关注 + 链接到原博客）
每页内容：
- 大字标题（≤ 40 字）
- 3-5 条 bullet（≤ 10 字 / 条）
- 配图 / icon / chart
正文（caption 500-1000 字）：
- 开头 3 行抓住注意（LinkedIn 折叠显示）
- 正文讲"我学到什么"（不是"工具有什么功能"）
- 结尾问问题引评论
What ships with it
4 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.
- 9d ago First seen · 199 lines · 112 tokens per session scan A 8b427ba07f21
gr-social-distill is a skill published in the GitHub repository Gingiris/gingiris-skills (23 stars, last pushed 3mo ago), licensed MIT. It adds 112 tokens to every session and 2,230 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to gr-social-distill, differing in 28 lines, and is treated as a copy.
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