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 wecode-ai/Wegent --skill dingtalk-tablegit clone --depth 1 https://github.com/wecode-ai/WegentWrote 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/wecode-ai/wegent/dingtalk-table)<a href="https://agentmods.dev/skills/wecode-ai/wegent/dingtalk-table"><img src="https://agentmods.dev/badge/skills/wecode-ai/wegent/dingtalk-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/wecode-ai/wegent/dingtalk-table"><img src="https://agentmods.dev/badge/skills/wecode-ai/wegent/dingtalk-table.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 | $0.00034 | $0.00322 |
| Opus 5.5 | $0.00014 | $0.00129 |
| Sonnet 5.5 | $0.00007 | $0.00064 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
dingtalk-table 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 today.
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.
What it actually says
DingTalk Tables
If this session has no configured DingTalk Table MCP, ask the user to 打开钉钉表格 MCP 配置弹窗. Do not try to access DingTalk spreadsheets until configuration is complete.
When configured, use the DingTalk Table MCP for the spreadsheet explicitly identified by the user.
- Read only the requested workbook, worksheet, cells, and formulas.
- Use create, update, or delete tools only when the user explicitly requests that mutation.
- Keep spreadsheet IDs separate from DingTalk AI Table IDs when both services are active.
- DingTalk remains the authority for the current user's permissions.
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.
- today First seen · 30 lines · 34 tokens per session scan A 1fd5433b6476
dingtalk-table is a skill published in the GitHub repository wecode-ai/Wegent (872 stars, last pushed today), licensed Apache-2.0. It adds 34 tokens to every session and 322 once invoked, about $0.0001 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 2026-10-20.
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