Agent skill

Skill Publish Log

by ZJU-REAL in ZJU-REAL/Easel

发布记录管理。当用户提到"记一下刚发的"、"发布记录"、"这个月发了多少"、"发布历史"、 "记录一下"、"发布日志"、"上次发了什么"时触发。支持记录每次发布的内容信息(平台、标题、 链接、时间、初始数据),并提供查询和统计功能,方便后续复盘。

Apache-2.0Auto-check passed

Install Skill Publish Log

skills CLI
$ npx skills add ZJU-REAL/Easel --skill skill-publish-log -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ZJU-REAL/Easel skill-publish-log --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openclaw/skill-publish-log .claude/skills/skill-publish-log && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
skill-publish-log
GitHub stars
3.4k
Token cost
~976 tokens
SKILL.md length
142 words
Files
3 (incl. scripts)
Skills in repo
114
Repo updated
First seen
Licence
Apache-2.0

At a glance

发布记录管理。当用户提到"记一下刚发的"、"发布记录"、"这个月发了多少"、"发布历史"、 "记录一下"、"发布日志"、"上次发了什么"时触发。支持记录每次发布的内容信息(平台、标题、 链接、时间、初始数据),并提供查询和统计功能,方便后续复盘。

  • Works in 4 steps: 判断操作模式:根据用户 prompt 识别是记录、查询还是统计 → 信息不足时追问:记录模式下至少需要平台和标题,缺少时提示补充 → 调用脚本(数据文件不存在时脚本自动初始化空结构) → …
  • SKILL.md covers 数据层定位, 输入, 输出 and 存储格式, plus 2 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Skill Publish Log is an agent skill from ZJU-REAL/Easel. 发布记录管理。当用户提到"记一下刚发的"、"发布记录"、"这个月发了多少"、"发布历史"、 "记录一下"、"发布日志"、"上次发了什么"时触发。支持记录每次发布的内容信息(平台、标题、 链接、时间、初始数据),并提供查询和统计功能,方便后续复盘。

Its SKILL.md is about 980 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `EASEL-META.md` and `scripts/log.py`).

The repository describes itself as: An open-source AI agent for social media — discover trends, create content, publish everywhere, and learn what works across Xiaohongshu, Douyin, Zhihu, Bilibili, and more.🎨一个开源的… The licence is Apache-2.0.

Example prompts

  • “记一下刚发的”
  • “这个月发了多少”
  • “上次发了什么”
  • “/skill-publish-log”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. 判断操作模式:根据用户 prompt 识别是记录、查询还是统计
  2. 信息不足时追问:记录模式下至少需要平台和标题,缺少时提示补充
  3. 调用脚本(数据文件不存在时脚本自动初始化空结构)
  4. 解读结果:把 JSON 转成 SKILL.md「输出」节的表格/摘要格式呈现给用户;

What it can do on your machine

Read from SKILL.md and the folder at commit 278f420. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Skill Publish Log loads about 976 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 142 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~976

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from ZJU-REAL/Easel at commit 278f420, republished under its Apache-2.0 licence (© ZJU-REAL). 142 words, ~976 tokens.

Download SKILL.mdSave it as .claude/skills/skill-publish-log/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
skill-publish-log
description
发布记录管理。当用户提到"记一下刚发的"、"发布记录"、"这个月发了多少"、"发布历史"、 "记录一下"、"发布日志"、"上次发了什么"时触发。支持记录每次发布的内容信息(平台、标题、 链接、时间、初始数据),并提供查询和统计功能,方便后续复盘。
layer
attribute

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):

markdown
| # | 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:

markdown
## 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:

json
{
  "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": ""
    }
  ]
}

字段说明:

  • id:自增编号
  • platform:发布平台
  • title:内容标题或摘要
  • url:发布链接(可为空)
  • type:内容类型(图文/视频/直播/文章)
  • published_at:实际发布时间
  • logged_at:记录写入时间
  • initial_metrics:发布时的初始数据(可部分为空)
  • skill_source:产出该内容的 SKILL(可为空)
  • profile:关联的账号 Profile(可为空)
  • tags:内容标签
  • notes:备注

执行步骤

读写、id 自增、过滤、聚合全部由 scripts/log.py 确定性完成(原子写、除零安全)。 LLM 只负责解析用户意图 → 组织参数 → 解读脚本返回的 JSON → 生成用户可读输出。 不要手动改 JSON、不要心算统计。

  1. 判断操作模式:根据用户 prompt 识别是记录、查询还是统计
  2. 信息不足时追问:记录模式下至少需要平台和标题,缺少时提示补充
  3. 调用脚本(数据文件不存在时脚本自动初始化空结构):
bash
# 记录(id 自增,原子写回 outputs/_analytics/publish-log.json)
python3 skills/openclaw/skill-publish-log/scripts/log.py record --platform 小红书 --title "标题" \
  --type 图文 --url "https://..." --views 1000 --likes 120 \
  --comments 30 --shares 10 --tags "AI,工具推荐" [--published-at ISO时间] \
  [--skill-source skill-xxx] [--profile 画像名] [--notes 备注]

# 查询(按平台/时间/关键词/画像过滤,--latest 取最近一条)
python3 skills/openclaw/skill-publish-log/scripts/log.py query --platform 小红书 --since 2026-07-01 \
  [--until 2026-07-31] [--keyword AI] [--profile 画像名] [--latest] [--limit N]

# 统计(按 platform/type/month 聚合数量 + 互动总量 + 平均综合分)
python3 skills/openclaw/skill-publish-log/scripts/log.py stat --by platform --since 2026-07-01
  1. 解读结果:把 JSON 转成 SKILL.md「输出」节的表格/摘要格式呈现给用户; 脚本返回的 warning 字段(样本不足)如非空须原样传达。

Profile 感知

有 Profile 时
  • 读取 platforms.md 自动填充 platform 字段(从主平台推断)
  • 读取 identity.md 获取账号名称,自动关联 profile 字段
  • 统计时可按 Profile(账号)维度汇总
  • 查询时默认只显示当前 Profile 的记录
无 Profile 时
  • platform 必须由用户明确指定
  • profile 字段留空
  • 统计和查询覆盖所有记录,不做账号过滤
  • 附注:"如提供账号 Profile,可自动关联平台并按账号分组统计"

自研溯源与参考项目见同目录 EASEL-META.md。

© ZJU-REAL, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (scripts) in skills/openclaw/skill-publish-log of ZJU-REAL/Easel.

  • SKILL.md
  • EASEL-META.md
  • scripts/log.py

Open the folder on GitHubat commit 278f420

Compare with similar skills

Skill Publish Log next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Skill Publish Log compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Skill Publish Log this skillZJU-REAL/Easel3.4k—~976Automated safety check: PassApache-2.0
Publishcode-yeongyu/oh-my-openagent70k—~5.5kAutomated safety check: WarnCustom licence
Social Publisheraffaan-m/ECC277k1 repos~1.1kAutomated safety check: PassMIT
Publishyc-software/qm15k—~2.2kAutomated safety check: WarnMIT
Social Publishingwshobson/agents40k—~914Automated safety check: PassMIT
Growth Logaffaan-m/ECC277k1 repos~1.7kAutomated safety check: PassMIT

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Questions about Skill Publish Log

What does Skill Publish Log do?

发布记录管理。当用户提到"记一下刚发的"、"发布记录"、"这个月发了多少"、"发布历史"、 "记录一下"、"发布日志"、"上次发了什么"时触发。支持记录每次发布的内容信息(平台、标题、 链接、时间、初始数据),并提供查询和统计功能,方便后续复盘。. Skill Publish Log is an agent skill from ZJU-REAL/Easel.

How do I install Skill Publish Log in Claude Code?

Run `npx skills add ZJU-REAL/Easel --skill skill-publish-log -a claude-code`. Or copy the skill folder (skills/openclaw/skill-publish-log in ZJU-REAL/Easel) into .claude/skills/skill-publish-log in your project. Claude Code loads it when a task matches its description.

How do I install Skill Publish Log in Codex?

Run `npx skills add ZJU-REAL/Easel --skill skill-publish-log -a codex`. Or copy the skill folder (skills/openclaw/skill-publish-log in ZJU-REAL/Easel) into .agents/skills/skill-publish-log in your project. Codex loads it when a task matches its description.

Can I use Skill Publish Log in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ZJU-REAL/Easel --skill skill-publish-log -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-publish-log, .gemini/skills/skill-publish-log, .github/skills/skill-publish-log and .opencode/skills/skill-publish-log in your project.

What does Skill Publish Log need to run?

Going by SKILL.md and its folder, Skill Publish Log needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Skill Publish Log access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Skill Publish Log safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Skill Publish Log use?

Skill Publish Log is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skill Publish Log use?

About 976 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Skill Publish Log?

Skills that share tags, products or a category with Skill Publish Log: Publish (code-yeongyu/oh-my-openagent, 70k stars), Social Publisher (affaan-m/ECC, 277k stars), Publish (yc-software/qm, 15k stars) and Social Publishing (wshobson/agents, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Publish Log?

ZJU-REAL (a GitHub organization) maintains it in ZJU-REAL/Easel, which has 3,376 GitHub stars. The repository holds 114 skills in this directory. The repository was last updated on October 9, 2026.

Source: ZJU-REAL/Easel on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.