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-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-skill)<a href="https://agentmods.dev/skills/simmzl/aipanel/openclaw-skill"><img src="https://agentmods.dev/badge/skills/simmzl/aipanel/openclaw-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-skill"><img src="https://agentmods.dev/badge/skills/simmzl/aipanel/openclaw-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 | $0.00092 | $0.01568 |
| Opus 5 | $0.00046 | $0.00784 |
| Sonnet 5 | $0.00018 | $0.00314 |
| Haiku 4.5 | $0.00009 | $0.00157 |
Grade A, and why
aipanel-feishu-bitable 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.
How it starts
The opening of the file, as written. The whole thing — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AIPanel Bitable
Operate the AIPanel data source in Feishu Bitable.
This skill is the canonical editable template for the AIPanel OpenClaw integration.
The checked-in copy under skills/aipanel-feishu-bitable/ should be treated as a rendered mirror for local browsing or distribution, not as the source of truth.
Data source configuration
Render or install this skill with the correct identifiers for your AIPanel deployment:
- app_token:
__AIPANEL_APP_TOKEN__ - table_id:
__AIPANEL_TABLE_ID__ - data source URL:
__AIPANEL_SOURCE_URL__
For the current release-candidate workflow, the installer can fill these from:
AIPANEL_SKILL_APP_TOKENorFEISHU_BITABLE_APP_TOKENAIPANEL_SKILL_TABLE_IDorFEISHU_BITABLE_TABLE_IDAIPANEL_SKILL_SOURCE_URLorFEISHU_BITABLE_SOURCE_URL
Table schema
Main fields in the AIPanel table:
标题text副标题text链接url图标text分类single select排序number分类排序number
Interpretation:
排序: order inside the same category分类排序: category order across the whole panel
Scope
这个 skill 负责 AIPanel 已有数据源的日常操作：
- 读取 AIPanel 数据
- 新增 / 编辑 / 删除书签
- 调整分类和排序
- 维护当前 AIPanel 数据源
实例创建与安装流程由独立的 aipanel-installer skill 负责。
Preferred execution path
When operating AIPanel Bitable data, prefer Feishu CLI first.
Use lark-cli base +... for the common path whenever available, especially for:
- reading field structure
- listing records
- creating records
- updating records
- deleting records
- batch imports
- reordering categories
- reordering bookmarks inside a category
Only fall back to non-CLI Feishu/OpenClaw Bitable tools if the CLI clearly cannot cover the required action.
Permission failure handling
If a read or write returns 403, permission denied, or another clear permission error:
- Do not keep retrying the same operation blindly.
- Tell the user this is most likely a permission/setup issue on the target Feishu Bitable, not a data-format problem.
- Include the target Bitable link in the response.
- Instruct the user to open the Bitable and go to:
设置 → 更多 → 添加文档应用. - Tell the user to add the corresponding Feishu bot/app, then ask the agent to retry.
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.
- 9d ago First seen · 213 lines · 92 tokens per session scan A a52e93ff3800
aipanel-feishu-bitable is a skill published in the GitHub repository simmzl/AIPanel (6 stars, last pushed 20d ago), licensed MIT. It adds 92 tokens to every session and 1,568 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 2026-08-31.
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