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 ZJU-REAL/Easel --skill skill-publish-loggit clone --depth 1 https://github.com/ZJU-REAL/EaselWrote 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/zju-real/easel/skill-publish-log)<a href="https://agentmods.dev/skills/zju-real/easel/skill-publish-log"><img src="https://agentmods.dev/badge/skills/zju-real/easel/skill-publish-log/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/zju-real/easel/skill-publish-log"><img src="https://agentmods.dev/badge/skills/zju-real/easel/skill-publish-log.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 | $0.00095 | $0.01842 |
| Opus 5 | $0.00048 | $0.00921 |
| Sonnet 5 | $0.00019 | $0.00368 |
| Haiku 4.5 | $0.00010 | $0.00184 |
Grade A, and why
skill-publish-log 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
发布记录管理
记录、查询、统计每次社媒内容发布的信息，作为复盘和归因的数据底座。
数据层定位
本 SKILL 是归因链的发布事件底座，唯一权威存储 outputs/_analytics/publish-log.json（每次发布的平台 / 标题 / 链接 / 时间 / 初始数据 / 标签 / 来源 SKILL）。
- 只存发布事件，不存粉丝时序 — 粉丝数、互动量的时间序列快照由
skill-data-tracker维护（outputs/_analytics/snapshots/）。本底座不重复记录粉丝时序，避免同一事实两处存储。 - 消费方（读，不回写） —
skill-publish-analytics（时段 / 标签 / 类型 / 增长归因）与skill-social-performance-review（月度复盘）读取本底座做归因。
| 底座 | 存什么 | 谁维护 |
|---|---|---|
outputs/_analytics/publish-log.json |
发布事件（本 SKILL） | skill-publish-log |
outputs/_analytics/snapshots/{profile}/{platform}/{date}.json |
粉丝 / 互动时序快照 | skill-data-tracker |
输入
用户 prompt 中提供以下信息之一：
记录模式（写入）
- 必填：平台、标题（或内容摘要）
- 可选：链接、发布时间（默认当前时间）、内容类型（图文/视频/直播）、初始数据（阅读/点赞/评论/转发）、关联 SKILL（由哪个 SKILL 产出）、备注
查询模式（读取）
- 按时间范围查询："这个月发了什么""最近一周"
- 按平台筛选："小红书上发了哪些"
- 按关键词搜索："关于 AI 的发布记录"
- 查看最近一条："上次发了什么"
统计模式（汇总）
- 按时间统计："这个月发了多少条"
- 按平台统计："各平台发布数量"
- 数据汇总："总互动量排行"
输出
记录模式
确认写入成功，返回记录摘要：
已记录发布：
- 平台：小红书
- 标题：《5 个被低估的 AI 工具》
- 时间：2026-07-22 14:30
- 链接：https://...
- 记录编号：#042
查询模式
返回匹配的记录列表（表格形式）：
| # | 日期 | 平台 | 标题 | 链接 | 类型 |
|---|------|------|------|------|------|
| 042 | 07-22 | 小红书 | 5 个被低估的 AI 工具 | [链接] | 图文 |
| 041 | 07-20 | 抖音 | AI 剪辑实操 | [链接] | 视频 |
统计模式
返回结构化的统计信息：
## 本月发布统计（2026-07）
- 总发布数：12 条
- 按平台：小红书 5 | 抖音 4 | B站 2 | 微博 1
- 按类型：图文 7 | 视频 4 | 直播 1
- 总互动量：点赞 2,340 | 评论 189 | 转发 67
存储格式
数据存储在 outputs/_analytics/publish-log.json，结构如下：
{
"version": "1.0",
"entries": [
{
"id": 42,
"platform": "小红书",
"title": "5 个被低估的 AI 工具",
"url": "https://...",
"type": "图文",
"published_at": "2026-07-22T14:30:00+08:00",
"logged_at": "2026-07-22T14:35:00+08:00",
"initial_metrics": {
"views": null,
"likes": null,
"comments": null,
"shares": null
},
"skill_source": "skill-card-xiaohongshu",
"profile": "my-xhs-account",
"tags": ["AI", "工具推荐"],
"notes": ""
}
]
}
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.
- 8d ago First seen · 174 lines · 95 tokens per session scan A 44b5b56aed91
skill-publish-log is a skill published in the GitHub repository ZJU-REAL/Easel (794 stars, last pushed yesterday), licensed Apache-2.0. It adds 95 tokens to every session and 1,842 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 2026-09-03.
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