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 aipanel-feishu-bitablegit 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/aipanel-feishu-bitable)<a href="https://agentmods.dev/skills/simmzl/aipanel/aipanel-feishu-bitable"><img src="https://agentmods.dev/badge/skills/simmzl/aipanel/aipanel-feishu-bitable/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/aipanel-feishu-bitable"><img src="https://agentmods.dev/badge/skills/simmzl/aipanel/aipanel-feishu-bitable.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 | $0.01346 |
| Opus 5 | $0.00046 | $0.00673 |
| Sonnet 5 | $0.00018 | $0.00269 |
| Haiku 4.5 | $0.00009 | $0.00135 |
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 11d 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 — 182 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:
YOUR_FEISHU_BITABLE_APP_TOKEN - table_id:
YOUR_FEISHU_BITABLE_TABLE_ID - data source URL:
https://your-feishu-domain/base/YOUR_FEISHU_BITABLE_APP_TOKEN
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是否置顶boolean (checkbox)
Interpretation:
排序: order inside the same category分类排序: category order across the whole panel是否置顶: whether the bookmark is pinned to the top of its category
Core tasks
Read bookmarks
Use feishu_bitable_app_table_record.list with:
app_token="YOUR_FEISHU_BITABLE_APP_TOKEN"table_id="YOUR_FEISHU_BITABLE_TABLE_ID"field_names=["标题","副标题","链接","图标","分类","排序","分类排序","是否置顶"]
When summarizing data for the user:
- Group by
分类 - Sort groups by
分类排序ascending - Sort items inside each group by
排序ascending
Add a bookmark
Use feishu_bitable_app_table_record.create.
Required fields to provide:
标题链接分类
Usually also set:
副标题图标排序分类排序if needed for consistency是否置顶— defaultfalse, set totrueif the user wants it pinned
If the user gives only a category and no explicit in-category order, append to the end of that category by reading current records and setting 排序 = current max + 1.
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.
- 11d ago First seen · 182 lines · 92 tokens per session scan A 226e428483a7
aipanel-feishu-bitable is a skill published in the GitHub repository simmzl/AIPanel (6 stars, last pushed 21d ago), licensed MIT. It adds 92 tokens to every session and 1,346 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.
Other skills, from other repositories
create-pr
Creates a GitHub PR with a Linear-ticket-prefixed title and a decision-led, narrative description for prisma-next. Use when the user wants to create a pull request, open a PR, or submit changes for review.
schema-exploration
Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
supabase
Supabase / PostgREST Row-Level-Security playbook — pull the anon (or leaked servicerole) key out of the frontend JS, map tables from the auto-generated OpenAPI spec, test anonymous RLS READ disclosures (PII/secret leaks), and anonymous RLS WRITE abuse (insert/update/delete — e.g. forging…
nornicdb-cypher-queries
Pick fast, predictable Cypher query shapes in NornicDB — point lookups, batch retrieval, pagination, search, traversal, batched UNWIND/MERGE writes, cleanup, multi-tenant isolation. Use when writing or reviewing Cypher whose latency or throughput matters; maps user intent to the executor's hot-path query templates.
dsql
Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, diagnose cluster performance, load data, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL and PostgreSQL-to-DSQL schema conversion, foreign key…