Html5 Game Radar
kennyzir/7deer_skills
HTML5 游戏发现雷达 - 多源监测又新又热的 HTML5 游戏，识别 SEO 套利窗口. An agent skill from kennyzir/7deer_skills.
无人值守推广总入口。按 promo/orchestrate.md 跨所有启用渠道（GitHub / Twitter / Reddit）跑一轮：发现→去重→起草→自我批判→护栏→按 posture 发布→记录→度量。供每日 cron（schedule / loop）调用，也可手动运行。传 "post-approved" 只执行 batch 待发队列。
Install Auto Promote
$ npx skills add xiaotonng/pikiloom --skill auto-promote -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xiaotonng/pikiloom auto-promote --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/xiaotonng/pikiloom.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.pikiloom/skills/auto-promote .claude/skills/auto-promote && rm -rf skills-srcUse ~/.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/
Install the "auto-promote" agent skill from https://github.com/xiaotonng/pikiloom/tree/main/.pikiloom/skills/auto-promote into .claude/skills/auto-promote/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-promote", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/xiaotonng/pikiloom/tree/main/.pikiloom/skills/auto-promoteType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add xiaotonng/pikiloom --skill auto-promote -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xiaotonng/pikiloom auto-promote --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xiaotonng/pikiloom.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.pikiloom/skills/auto-promote .agents/skills/auto-promote && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "auto-promote" agent skill from https://github.com/xiaotonng/pikiloom/tree/main/.pikiloom/skills/auto-promote into .agents/skills/auto-promote/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-promote", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add xiaotonng/pikiloom --skill auto-promote -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xiaotonng/pikiloom auto-promote --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xiaotonng/pikiloom.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.pikiloom/skills/auto-promote .cursor/skills/auto-promote && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "auto-promote" agent skill from https://github.com/xiaotonng/pikiloom/tree/main/.pikiloom/skills/auto-promote into .cursor/skills/auto-promote/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-promote", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/xiaotonng/pikiloom.git --path .pikiloom/skills/auto-promote--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add xiaotonng/pikiloom --skill auto-promote -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xiaotonng/pikiloom auto-promote --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xiaotonng/pikiloom.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.pikiloom/skills/auto-promote .gemini/skills/auto-promote && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "auto-promote" agent skill from https://github.com/xiaotonng/pikiloom/tree/main/.pikiloom/skills/auto-promote into .gemini/skills/auto-promote/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-promote", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install xiaotonng/pikiloom auto-promoteInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add xiaotonng/pikiloom --skill auto-promote -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/xiaotonng/pikiloom.git skills-src && mkdir -p .github/skills && cp -r skills-src/.pikiloom/skills/auto-promote .github/skills/auto-promote && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "auto-promote" agent skill from https://github.com/xiaotonng/pikiloom/tree/main/.pikiloom/skills/auto-promote into .github/skills/auto-promote/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-promote", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add xiaotonng/pikiloom --skill auto-promote -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install xiaotonng/pikiloom auto-promote --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xiaotonng/pikiloom.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.pikiloom/skills/auto-promote .opencode/skills/auto-promote && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "auto-promote" agent skill from https://github.com/xiaotonng/pikiloom/tree/main/.pikiloom/skills/auto-promote into .opencode/skills/auto-promote/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-promote", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
auto-promote- GitHub stars
- 295
- Token cost
- ~629 tokens
- SKILL.md length
- 151 words
- Files
- 1
- Skills in repo
- 6
- Repo updated
- First seen
- Licence
- MIT
At a glance
无人值守推广总入口。按 promo/orchestrate.md 跨所有启用渠道（GitHub / Twitter / Reddit）跑一轮：发现→去重→起草→自我批判→护栏→按 posture 发布→记录→度量。供每日 cron（schedule / loop）调用，也可手动运行。传 "post-approved" 只执行 batch 待发队列。
- Works in 5 steps: 读 orchestrate.md 并逐 Phase 执行。 不要在这里重述流程… → Phase 0 预检：先 measure.py pull；读… → 每个渠道的发现/抽取/发布机制委托给对应渠道 SKILL（promote /… → …
- Tasks that involve Scheduled and recurring tasks
- SKILL.md covers 参数, 执行, 安全契约（硬性） and 调度（每日）
- Calls gh
What it does
Auto Promote is an agent skill from xiaotonng/pikiloom. 无人值守推广总入口。按 promo/orchestrate.md 跨所有启用渠道（GitHub / Twitter / Reddit）跑一轮：发现→去重→起草→自我批判→护栏→按 posture 发布→记录→度量。供每日 cron（schedule / loop）调用，也可手动运行。传 "post-approved" 只执行 batch 待发队列。
Its SKILL.md is about 630 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Productivity & Automation, covering Scheduled and recurring tasks. It works with GitHub, Reddit and X (Twitter). The repository describes itself as: Put the world's smartest AI agents & plugins in your pocket. The licence is MIT.
When your agent uses it
- Tasks that involve Scheduled and recurring tasks
Example prompts
- “post-approved”
- “/auto-promote”
Requirements
- Pre-approved tools (allowed-tools): Bash, Read, Write, Edit, Grep, Glob, Agent, WebFetch, mcp__pikiloom-browser__browser_navigate, mcp__pikiloom-browser__browser_take_screenshot, mcp__pikiloom-browser__browser_snapshot, mcp__pikiloom-browser__browser_press_key, mcp__pikiloom-browser__browser_click, mcp__pikiloom-browser__browser_evaluate, mcp__pikiloom-browser__browser_type, mcp__pikiloom-browser__browser_run_code_unsafe, mcp__pikiloom-browser__browser_wait_for, mcp__pikiloom-browser__browser_tabs
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- 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。
- Phase 0 预检：先 measure.py pull；读 config.json 的 kill_switch / posture；guard.py caps
- 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），
- 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）。
- 收尾：registry.py stats + measure.py report，把本轮 posted/skipped/failed 计数 + 度量推飞书。
What it can do on your machine
Read from SKILL.md and the folder at commit ad3bdb8. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
BashReadWriteEditGrepGlobAgentWebFetchmcp__pikiloom-browser__browser_navigatemcp__pikiloom-browser__browser_take_screenshot
…and 8 more on the same allowed-tools line.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
gh
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use gh, which can reach the network depending on how they are called.
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
Auto Promote loads about 629 tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 151 words of instructions outside code blocks.
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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Bash, Read, Write, Edit, Grep, Glob, Agent, WebFetch, mcp__pikiloom-browser__browser_navigate, mcp__
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from xiaotonng/pikiloom at commit ad3bdb8, republished under its MIT licence (© xiaotonng). 151 words, ~629 tokens.
Download SKILL.mdSave it as
.claude/skills/auto-promote/SKILL.md (or your agent's skills folder).- name
- auto-promote
- description
- 无人值守推广总入口。按 _promo/orchestrate.md 跨所有启用渠道（GitHub / Twitter / Reddit）跑一轮：发现→去重→起草→自我批判→护栏→按 posture 发布→记录→度量。供每日 cron（schedule / loop）调用，也可手动运行。传 "post-approved" 只执行 batch 待发队列。
- allowed-tools
- Bash, Read, Write, Edit, Grep, Glob, Agent, WebFetch, mcp__pikiloom-browser__browser_navigate, mcp__pikiloom-browser__browser_take_screenshot, mcp__pikiloom-browser__browser_snapshot, mcp__pikiloom-browser__browser_press_key, mcp__pikiloom-browser__browser_click, mcp__pikiloom-browser__browser_evaluate, mcp__pikiloom-browser__browser_type, mcp__pikiloom-browser__browser_run_code_unsafe, mcp__pikiloom-browser__browser_wait_for, mcp__pikiloom-browser__browser_tabs
- user-invocable
- true
- argument-hint
- blank for a full run | post-approved | channel:github|twitter|reddit | shadow
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 pending里status=approved、drafted_at早于veto_window_hours、不在abort.txt、且重新guard.py check通过的记录。 （batchposture 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
- 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。
- Phase 0 预检：先
measure.py pull；读config.json的kill_switch/posture；guard.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。 - 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）。 - 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）。 - 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-promote；batchposture 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）。
© xiaotonng, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .pikiloom/skills/auto-promote of xiaotonng/pikiloom.
Open the folder on GitHubat commit ad3bdb8
Compare with similar skills
Auto Promote 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 | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Auto Promote this skillxiaotonng/pikiloom | 295 | — | ~629 | Automated safety check: Notes | MIT | |
| Html5 Game Radarkennyzir/7deer_skills | 322 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Zhy Wechat WritingLeoYeAI/openclaw-master-skills | 2.2k | — | ~3.8k | Automated safety check: Notes | MIT | |
| bb-browser Site Commands for OpenClawepiral/bb-browser | 6.2k | — | ~1k | Automated safety check: Pass | MIT | |
| Superset Automatesuperset-sh/superset | 15k | — | ~1.4k | Automated safety check: Pass | Custom licence | |
| Agent ReachOotto-AI/claude-content-skills | 122 | — | ~1.3k | Automated safety check: Pass | MIT |
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Reddit 截流。在 coding agent / Claude Code / AI dev tool 的高互动帖下，以 pikiloom builder 身份自动发现→起草→自我批判→护栏→（按 posture）发布英文 peer 评论，并记录+度量。English-first。话术统一来自 promo/pitch.md；可由 promo/orchestrate.md 无人值守驱动。
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Twitter/X 截流。在 coding/AI agent 工具的高流量推广帖下，自动发现→起草→自我批判→护栏→（按 posture）发布 pikiloom 回复，并记录+度量。内容话术统一来自 promo/pitch.md；可由 promo/orchestrate.md 无人值守驱动。
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Questions about Auto Promote
What does Auto Promote do?
无人值守推广总入口。按 promo/orchestrate.md 跨所有启用渠道（GitHub / Twitter / Reddit）跑一轮：发现→去重→起草→自我批判→护栏→按 posture 发布→记录→度量。供每日 cron（schedule / loop）调用，也可手动运行。传 "post-approved" 只执行 batch 待发队列。. Auto Promote is an agent skill from xiaotonng/pikiloom.
When should I use Auto Promote?
Auto Promote fits situations like: tasks that involve Scheduled and recurring tasks.
How do I install Auto Promote in Claude Code?
Run `npx skills add xiaotonng/pikiloom --skill auto-promote -a claude-code`. Or copy the skill folder (.pikiloom/skills/auto-promote in xiaotonng/pikiloom) into .claude/skills/auto-promote in your project. Claude Code loads it when a task matches its description.
How do I install Auto Promote in Codex?
Run `npx skills add xiaotonng/pikiloom --skill auto-promote -a codex`. Or copy the skill folder (.pikiloom/skills/auto-promote in xiaotonng/pikiloom) into .agents/skills/auto-promote in your project. Codex loads it when a task matches its description.
Can I use Auto Promote 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 xiaotonng/pikiloom --skill auto-promote -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/auto-promote, .gemini/skills/auto-promote, .github/skills/auto-promote and .opencode/skills/auto-promote in your project.
What does Auto Promote need to run?
Going by SKILL.md and its folder, Auto Promote needs the command-line tools its instructions call (gh). Its frontmatter pre-approves these tools: Bash, Read, Write, Edit, Grep, Glob, Agent, WebFetch, mcp__pikiloom-browser__browser_navigate, mcp__pikiloom-browser__browser_take_screenshot, mcp__pikiloom-browser__browser_snapshot, mcp__pikiloom-browser__browser_press_key, mcp__pikiloom-browser__browser_click, mcp__pikiloom-browser__browser_evaluate, mcp__pikiloom-browser__browser_type, mcp__pikiloom-browser__browser_run_code_unsafe, mcp__pikiloom-browser__browser_wait_for, mcp__pikiloom-browser__browser_tabs.
Does Auto Promote access the network?
SKILL.md contains no URLs. Its commands use gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Auto Promote safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Auto Promote use?
Auto Promote is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Auto Promote use?
About 629 tokens (SKILL.md is roughly 2.5k 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 Auto Promote?
Skills that share tags, products or a category with Auto Promote: Html5 Game Radar (kennyzir/7deer_skills, 322 stars), Zhy Wechat Writing (LeoYeAI/openclaw-master-skills, 2.2k stars), bb-browser Site Commands for OpenClaw (epiral/bb-browser, 6.2k stars) and Superset Automate (superset-sh/superset, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Auto Promote?
xiaotonng (a GitHub user) maintains it in xiaotonng/pikiloom, which has 295 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on October 5, 2026.
Source: xiaotonng/pikiloom on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.