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 simmzl/AIPanel --skill openclaw-installer-skillgit clone --depth 1 https://github.com/simmzl/AIPanelWrote 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/simmzl/aipanel/openclaw-installer-skill)<a href="https://agentmods.dev/skills/simmzl/aipanel/openclaw-installer-skill"><img src="https://agentmods.dev/badge/skills/simmzl/aipanel/openclaw-installer-skill/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/simmzl/aipanel/openclaw-installer-skill"><img src="https://agentmods.dev/badge/skills/simmzl/aipanel/openclaw-installer-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00064 | $0.00781 |
| Opus 5 | $0.00032 | $0.00391 |
| Sonnet 5 | $0.00013 | $0.00156 |
| Haiku 4.5 | $0.00006 | $0.00078 |
Grade A, and why
aipanel-installer 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 10d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- aipanel-installer — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AIPanel Installer
Drive the AIPanel installer as a conversational workflow.
This skill is responsible for the instance creation path:
- start a new AIPanel installation
- continue a paused installation
- report installer progress
- collect the final user inputs
- finish Vercel deployment
- verify the deployed result
Do not use this skill for normal bookmark/category CRUD on an already-installed panel. That remains the job of aipanel-feishu-bitable.
Workflow
When a user says things like:
- 开始创建 AIPanel
- 创建 AIPanel
- 安装 AIPanel
- 继续 AIPanel 安装
- 恢复 AIPanel 安装
- 看看 AIPanel 装到哪一步了
follow this sequence:
- Prefer
node scripts/installer/cli.mjs continueas the single orchestration entrypoint - Use
node scripts/installer/cli.mjs continue --executewhen the flow needs to create real Feishu or Vercel resources - Use
node scripts/installer/cli.mjs statuswhen you only need a conversational progress summary - Use
node scripts/installer/cli.mjs verifywhen you need to re-check the final deployment result
Final user inputs
The installer should minimize questions.
By default, only ask the user for:
ACCESS_PASSWORDFEISHU_APP_SECRET
The installer should:
- auto-generate
JWT_SECRET - auto-detect
FEISHU_APP_ID - auto-create
FEISHU_BITABLE_APP_TOKEN - auto-create
FEISHU_BITABLE_TABLE_ID - auto-create
FEISHU_BITABLE_SOURCE_URL
Asking for Feishu App Secret
When asking for FEISHU_APP_SECRET, always include the detected FEISHU_APP_ID in the message.
Use wording equivalent to:
请提供与我自动识别到的 Feishu App ID
cli_xxx对应的 App Secret。
Never ask for an App Secret without naming the App ID it must match.
If FEISHU_APP_ID is not available, do not pretend the secret request is unambiguous. Report the block and ask the user to fix the local Feishu/Lark auth context first.
Progress reporting
Keep user-visible updates short and stage-based.
Good examples:
- 前置检查通过，正在创建 Feishu 数据源。
- Feishu 数据源已经创建完成，现在只差访问密码和 App Secret。
- Vercel 部署已完成，正在验证面板是否可访问。
What ships with it
3 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.
- 10d ago First seen · 104 lines · 64 tokens per session scan A ce0a1a0e7435
aipanel-installer is a skill published in the GitHub repository simmzl/AIPanel (6 stars, last pushed 21d ago), licensed MIT. It adds 64 tokens to every session and 781 once invoked, about $0.0003 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 2026-08-31.
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