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 breath57/dingtalk-skills --skill dingtalk-ai-tablegit clone --depth 1 https://github.com/breath57/dingtalk-skillsWrote 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/breath57/dingtalk-skills/dingtalk-ai-table)<a href="https://agentmods.dev/skills/breath57/dingtalk-skills/dingtalk-ai-table"><img src="https://agentmods.dev/badge/skills/breath57/dingtalk-skills/dingtalk-ai-table/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/breath57/dingtalk-skills/dingtalk-ai-table"><img src="https://agentmods.dev/badge/skills/breath57/dingtalk-skills/dingtalk-ai-table.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00133 | $0.01665 |
| Opus 5 | $0.00067 | $0.00833 |
| Sonnet 5 | $0.00027 | $0.00333 |
| Haiku 4.5 | $0.00013 | $0.00167 |
Grade A, and why
dingtalk-ai-table scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
SHEETS=$(curl -s -X GET "https://api.dingtalk.com/v1.0/notable/bases/${BASE_ID}/sheets?operatorId=${OPERATOR_ID}" \ The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
2 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.
- 12d ago First seen · 87 lines · 133 tokens per session scan A bb0e5a8d518f
dingtalk-ai-table is a skill published in the GitHub repository breath57/dingtalk-skills (101 stars, last pushed 2mo ago), with no licence file. It adds 133 tokens to every session and 1,665 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
smart-data-collection
A workflow for extracting structured information from images and documents such as PDFs, Word files, and spreadsheets, then storing it in a database.
lark-base
A guide for managing Lark Base, Feishu's spreadsheet-like database and workspace tool. It covers tables, fields, records, views, formulas, forms, dashboards, applications, workflows, and permissions.
dingtalk-ai-table
Read and manage DingTalk AI table records through the DingTalk AI Table MCP. Use this skill when the user explicitly refers to a DingTalk AI table, fields, or records.
feishu-bitable
A skill for managing Feishu Bitable, a database-like spreadsheet for organising structured records. It supports tables, fields, views, filters, and bulk changes.
mcp-sheet-cache-bridge
Keep Zapier Tables or another MCP-connected record store as the source of truth while Google Sheets-based tools read an event-driven cache tab.
airtable-cli
Lists bases, reads and writes records, manages tables and fields, filters and searches data in Airtable via the airtable-mcp CLI. Use when the task involves Airtable data or the user mentions airtable-mcp, bases, tables, records, or fields.