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-schedulergit 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-scheduler)<a href="https://agentmods.dev/skills/zju-real/easel/skill-publish-scheduler"><img src="https://agentmods.dev/badge/skills/zju-real/easel/skill-publish-scheduler/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-scheduler"><img src="https://agentmods.dev/badge/skills/zju-real/easel/skill-publish-scheduler.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 | $0.00117 | $0.00874 |
| Opus 5 | $0.00059 | $0.00437 |
| Sonnet 5 | $0.00023 | $0.00175 |
| Haiku 4.5 | $0.00012 | $0.00087 |
Grade A, and why
skill-publish-scheduler 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.
What it actually says
批量定时发布排期
管理一张排期表（内容×平台×时间），到点把任务派发给各平台发布 SKILL。走
scripts/publish_queue.py（纯标准库）。本 SKILL 负责调度与状态，实际发布委派各平台 publisher （skill-xhs-publisher / skill-douyin-upload / skill-wechat-publisher / skill-bilibili-upload / cross-platform-publish）。
输入
排期表 CSV（表头需含 publish_at, platform, content，可选 title, note）：
publish_at,platform,content,title
2026-08-01 09:00,xiaohongshu,outputs/note1,早间笔记
2026-08-01 20:00,douyin,outputs/主题名/final.mp4,晚间视频
或等价 JSON。
执行
脚本路径（相对项目根）：skills/openclaw/skill-publish-scheduler/scripts/publish_queue.py（各子命令 -h）。
Q=outputs/publish-queue/q.json
python <skill>/scripts/publish_queue.py import --file plan.csv --queue $Q # 导入排期
python <skill>/scripts/publish_queue.py list --queue $Q # 查看队列
python <skill>/scripts/publish_queue.py due --queue $Q # 此刻到期项
python <skill>/scripts/publish_queue.py run --queue $Q # 打印到期派发计划
# 按计划逐条委派对应平台 publisher 发布，完成后回填：
python <skill>/scripts/publish_queue.py mark --queue $Q --id 1 --status done
到期派发流程（编排）
due/run得到此刻到期项。- 对每条到期项：按
platform委派对应发布 SKILL 执行真实发布 （单平台或用 cross-platform-publish）。发布前按平台适配内容格式。 - 发布成功/失败后
mark回填状态（可配合 skill-publish-notify 推送结果、skill-publish-log 记录）。 - 需要"守护式到点触发"时，由 OpenClaw 定时任务周期性跑
run（本脚本只做单次到期计算，不常驻）。
规则
- 本 SKILL 不直接驱动浏览器/API 发布——只做排期与状态管理，发布交给各平台 publisher。
--now可覆盖当前时间用于预演（查看某时刻会发哪些），不影响真实时间。- 发布时间用
YYYY-MM-DD HH:MM；同一时刻多平台会一并到期。 - 每条发布后务必
mark，避免重复发布。 - 定时触发依赖上层（OpenClaw cron / 手动周期跑），本脚本是无状态到期计算 + 持久化队列。
参考来源
排期→到期计算→派发→状态回填是内容日历落地发布的标准闭环。调度与真实发布分层： 调度纯脚本（可测），发布委派各平台 publisher（环境相关）。
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 · 60 lines · 117 tokens per session scan A ccede176bb62
skill-publish-scheduler is a skill published in the GitHub repository ZJU-REAL/Easel (794 stars, last pushed yesterday), licensed Apache-2.0. It adds 117 tokens to every session and 874 once invoked, about $0.0006 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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