bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Release skills to ClawhHub through the full publication pipeline — auto-scaffolding, OPSEC scan, dual review (agent + user), force-push release, security scan verification. Use when releasing a skill, preparing a skill for release, reviewing a skill for publication, or checking release readiness.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install chunhualiao/skill-releaser打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Orchestrates the full skill publication pipeline from internal repo to ClawhHub.
How OpenClaw and user interact during release:
gh CLI on behalf of the user's authenticated accountgh CLI authenticated (for repo creation and visibility changes)clawhub CLI installed (for ClawhHub publishing)SKILL.md fileThis skill handles: The full release pipeline — structure scaffolding, OPSEC scanning, review, publishing. This skill does NOT handle: Skill content creation or design. The SKILL.md must already describe what the skill does. Everything else (boilerplate, structure, scaff...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
Release agent skills to ClawhHub through a full publication pipeline.
Takes any skill with a finished SKILL.md and handles everything needed to publish it:
gh CLI authenticatedclawhub CLI installedMIT
When release volume justifies it, refactor from single-agent to multi-agent:
Dispatcher (coordinator)
├── Scaffolder (Steps 1-2): boilerplate, validation → flash-lite
├── Publisher (Steps 3-10): git ops, staging, OPSEC, publish → flash-lite
├── Verifier (Step 11): browser-based scan verification → sonnet
└── Dispatcher delivers Step 12 summary
Triggers: 5+ skills per session, browser failures cascading into re-runs, rate limit cascades.
Prerequisite: Ship 3-5 more skills through...
# Skill Releaser
Orchestrates the full skill publication pipeline from internal repo to ClawhHub.
## When to Use
- User says "release {skill}" or "publish {skill} to clawhub"
- User says "prepare {skill} for release" or "check release readiness"
- User says "review {skill} for publication"
- Cron-triggered release check during refactory pipeline
## Assumptions
**How OpenClaw and user interact during release:**
- Agent runs on a machine with shell access (exec tool) for git and CLI operations
- User communicates via messaging channel (Telegram, Discord, Signal, etc.) — likely on a phone
- User reviews the private GitHub repo directly in their browser/phone — the repo IS the review artifact, not a text summary
- User approves or rejects by replying to the agent's message (natural language: "approve", "revise: fix the readme", "reject")
- Agent can create and manage GitHub repos via `gh` CLI on behalf of the user's authenticated account
- Agent pushes to the private staging repo BEFORE requesting user review, so there is something to review
- Agent does NOT publish anything publicly without explicit user approval — this is a hard gate
- The repo starts private for staging and review. At release time, history is erased via orphan branch + force push (single clean commit), then flipped to public
- The full release can span multiple sessions — the private staging repo preserves state so any agent can resume
- Multiple skills can be in different stages of the pipeline simultaneously
## Prerequisites
- `gh` CLI authenticated (for repo creation and visibility changes)
- `clawhub` CLI installed (for ClawhHub publishing)
- A skill directory with at least a `SKILL.md` file
## Scope & Boundaries
**This skill handles:** The full release pipeline — structure scaffolding, OPSEC scanning, review, publishing.
**This skill does NOT handle:** Skill content creation or design. The SKILL.md must already describe what the skill does. Everything else (boilerplate, structure, scaff...# skill-releaser
Release agent skills to ClawhHub through a full publication pipeline.
## What It Does
Takes any skill with a finished SKILL.md and handles everything needed to publish it:
1. **Scaffolds** missing structure files (README, CHANGELOG, tests, skill.yml) from SKILL.md
2. **Scans** for OPSEC violations (secrets, personal info, hardcoded paths)
3. **Reviews** via dual process — agent checklist + user approval
4. **Stages** in a private repo for user review on any device
5. **Publishes** by erasing history (force push) and flipping repo to public, then ClawhHub
## When to Use
- "Release {skill-name} to ClawhHub"
- "Is {skill-name} ready for release?"
- "Which skills are ready to publish?"
- "Prepare {skill-name} for release"
## Key Design Decisions
- **History erased at release** — orphan branch + force push gives a single clean commit
- **One repo per skill** — starts private for staging, flipped to public at release
- **User approval is a hard gate** — nothing goes public without explicit "approve"
- **Boilerplate is auto-generated** — only SKILL.md content needs to be written by hand
- **Security scan verified** — uses browser to check VirusTotal + OpenClaw scan results on ClawhHub before declaring release complete
## Prerequisites
- `gh` CLI authenticated
- `clawhub` CLI installed
- Shell access for git operations
- Browser tool available (for ClawhHub security scan verification)
## License
MIT
## Future Work
### Multi-Agent Architecture
When release volume justifies it, refactor from single-agent to multi-agent:
```
Dispatcher (coordinator)
├── Scaffolder (Steps 1-2): boilerplate, validation → flash-lite
├── Publisher (Steps 3-10): git ops, staging, OPSEC, publish → flash-lite
├── Verifier (Step 11): browser-based scan verification → sonnet
└── Dispatcher delivers Step 12 summary
```
**Triggers:** 5+ skills per session, browser failures cascading into re-runs, rate limit cascades.
**Prerequisite:** Ship 3-5 more skills through...Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discove...
Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.
Send and receive P2P messages using disposable numbers and PINs. No servers, no accounts. Use for human notifications, approval flows, and agent-to-agent communication.