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 yjwong/lark-cli --skill bitablegit clone --depth 1 https://github.com/yjwong/lark-cliWrote 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/yjwong/lark-cli/bitable)<a href="https://agentmods.dev/skills/yjwong/lark-cli/bitable"><img src="https://agentmods.dev/badge/skills/yjwong/lark-cli/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/yjwong/lark-cli/bitable"><img src="https://agentmods.dev/badge/skills/yjwong/lark-cli/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 | $0.00038 | $0.01200 |
| Opus 5.5 | $0.00015 | $0.00480 |
| Sonnet 5.5 | $0.00008 | $0.00240 |
| Haiku 4.5 | $0.00004 | $0.00120 |
Grade A, and why
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 1mo 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 — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lark Bitable Skill
Access Lark Bitable (database) content via the lark CLI.
Running Commands
Ensure lark is in your PATH, or use the full path to the binary:
lark bitable <command>
Commands Reference
List Tables
lark bitable tables <app_token>
Lists all tables in a Bitable app. The app_token is from the Bitable URL.
For example, if the URL is https://xxx.larksuite.com/base/ABC123xyz, the app_token is ABC123xyz.
Output:
{
"app_token": "ABC123xyz",
"tables": [
{
"table_id": "tblXYZ789",
"name": "Projects"
},
{
"table_id": "tblABC456",
"name": "Tasks"
}
],
"count": 2
}
List Fields
lark bitable fields <app_token> <table_id>
Lists all fields (columns) in a Bitable table.
Output:
{
"app_token": "ABC123xyz",
"table_id": "tblXYZ789",
"fields": [
{
"field_id": "fldAAA111",
"field_name": "Name",
"type": "text",
"is_primary": true
},
{
"field_id": "fldBBB222",
"field_name": "Status",
"type": "select"
},
{
"field_id": "fldCCC333",
"field_name": "Due Date",
"type": "date"
}
],
"count": 3
}
Field types: text, number, select, multi_select, date, checkbox, person, phone, url, attachment, link, formula, duplex_link, location, group, created_time, created_user, modified_time, modified_user, auto_number
List Records
lark bitable records <app_token> <table_id> [--limit N] [--view <view_id>] [--filter <expression>]
Lists records (rows) in a Bitable table.
Options:
--limit: Maximum number of records to retrieve (default: no limit)--view: View ID to filter records--filter: Filter expression (see Lark API docs for syntax)
Output:
{
"app_token": "ABC123xyz",
"table_id": "tblXYZ789",
"records": [
{
"record_id": "recAAA111",
"fields": {
"Name": "Project Alpha",
"Status": "In Progress",
"Due Date": 1704067200000
}
},
{
"record_id": "recBBB222",
"fields": {
"Name": "Project Beta",
"Status": "Completed",
"Due Date": 1703462400000
}
}
],
"count": 2,
"has_more": false
}
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.
- 1mo ago First seen · 191 lines · 38 tokens per session scan A 543147eaab06
bitable is a skill published in the GitHub repository yjwong/lark-cli (54 stars, last pushed 6mo ago), licensed MIT. It adds 38 tokens to every session and 1,200 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
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