auto-promote

auto-promote is a skill for Claude Code from xiaotonng/pikiloom. It costs 91 tokens per session (1,058 once invoked), scanned A, original, MIT.

An unattended workflow for promoting a project across enabled GitHub, Twitter, and Reddit channels. It discovers possible posts, removes duplicates, drafts and checks messages, and either previews or publishes them according to configuration.

In plain words
What is it for?
Use it for a full promotion run, a single channel, a preview-only run, or publishing an already approved queue. It also records results and produces counts and measurements for the run.
Why use it?
It organizes repeated promotion work into one scheduled or manually run process. Safety checks, posting limits, approval waiting periods, and a kill switch help control what can be published.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /Users/admin/Desktop/project/pikiloom.

Good fit Use it for a full promotion run, a single channel, a preview-only run, or publishing an already approved queue. It also records results and produces counts and measurements for the run.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.

Made for: Claude Code.

Wrote 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.

agentmods badge for auto-promote

README.md
[![agentmods](https://agentmods.dev/badge/skills/xiaotonng/pikiloom/auto-promote/github.svg)](https://agentmods.dev/skills/xiaotonng/pikiloom/auto-promote)
Your own site
<a href="https://agentmods.dev/skills/xiaotonng/pikiloom/auto-promote"><img src="https://agentmods.dev/badge/skills/xiaotonng/pikiloom/auto-promote/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.

agentmods 80×15 button for auto-promote

Your own site · 80×15
<a href="https://agentmods.dev/skills/xiaotonng/pikiloom/auto-promote"><img src="https://agentmods.dev/badge/skills/xiaotonng/pikiloom/auto-promote.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,058 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00091 $0.01058
Opus 5 $0.00046 $0.00529
Sonnet 5 $0.00018 $0.00212
Haiku 4.5 $0.00009 $0.00106

Measured 9d ago against content hash a982a94fc610, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

auto-promote 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.

.pikiloom/skills/auto-promote/SKILL.md · 47 lines

What it actually says

Auto-Promote — 无人值守推广总入口

跨三渠道跑一轮完整推广,严格执行 ../_promo/orchestrate.md。 这是给每日 cron 调用的单一入口;也可手动跑。所有话术来自 _promo/pitch.md,去重/护栏/度量来自共享核心。

运行根目录:cd /Users/admin/Desktop/project/pikiloom

参数

  • (空) → 完整一轮:Phase 0→5,所有 enabled 且有剩余配额的渠道。
  • post-approved → 只执行 orchestrate.md Phase 4 的「发 batch 待发队列」:发 registry.py pendingstatus=approveddrafted_at 早于 veto_window_hours、不在 abort.txt、且重新 guard.py check 通过的记录。 (batch posture 下,由 veto 窗口之后的第二个 cron 调用。)
  • channel:<github|twitter|reddit> → 只跑该渠道。
  • shadow → 本轮强制 shadow(不发,只预览),无视 config 的 posture。

执行

  1. 读 orchestrate.md 并逐 Phase 执行。 不要在这里重述流程 —— orchestrate.md 是唯一权威 runbook。
  2. Phase 0 预检:先 measure.py pull;读 config.jsonkill_switch / postureguard.py caps 看各渠道剩余配额。kill_switch=true → 推一张「已停(kill switch)」卡片并结束。
  3. 每个渠道的发现/抽取/发布机制委托给对应渠道 SKILL(promote / snipe / reddit-snipe), 本入口只负责按 orchestrate.md 的跨渠道契约串起来(去重 → 起草 → 批判 → 护栏 → posture 发布 → 记录)。
  4. 起草与批判用子 agent(话术契约 = pitch.md)。发布前必过 guard.py check(exit 3 = 跳过)。
  5. 收尾registry.py stats + measure.py report,把本轮 posted/skipped/failed 计数 + 度量推飞书。

安全契约(硬性)

  • 发布的唯一开关是 config.json.posture绝不在本 skill 里硬编码绕过 posture / 护栏 / 去重。
  • 一切发布前都经过 guard.py(频次、每仓/每 sub 上限、变体、熔断、kill_switch、abort.txt)。
  • 失败(发帖报错 / 校验异常)记 status=failed 并继续下一条,绝不中断整轮。
  • GitHub 用 gh issue comment 最稳,建议 auto 从 github 渠道先开;Twitter/Reddit 走浏览器,稳定后再开。

调度(每日)

  • schedule 技能:建一个每日 routine 跑 /auto-promotebatch posture 再加一个 veto_window_hours 之后的 routine 跑 /auto-promote post-approved
  • loop 技能:按天 loop /auto-promote(每轮先发上一轮的 approved 队列,再起草新一轮)。
Changes

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.

  1. 9d ago First seen · 47 lines · 91 tokens per session scan A a982a94fc610

Subscribe to this mod's changes

auto-promote is a skill published in the GitHub repository xiaotonng/pikiloom (294 stars, last pushed yesterday), licensed MIT. It adds 91 tokens to every session and 1,058 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 2026-08-30.

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