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-docsgit 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-docs)<a href="https://agentmods.dev/skills/wecode-ai/wegent/dingtalk-docs"><img src="https://agentmods.dev/badge/skills/wecode-ai/wegent/dingtalk-docs/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-docs"><img src="https://agentmods.dev/badge/skills/wecode-ai/wegent/dingtalk-docs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector 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 | $0.00032 | $0.00295 |
| Opus 5.5 | $0.00013 | $0.00118 |
| Sonnet 5.5 | $0.00006 | $0.00059 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
dingtalk-docs 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.
What it actually says
DingTalk Documents
Use the DingTalk document MCP directly. Resource IDs in <selected_knowledge_sources> are DingTalk-native IDs.
- For a knowledge space, call
list_nodeswith its workspace ID and traverse the returned hierarchy. - For a folder, call
list_nodeswith the selected folder ID and continue through descendants when needed. - For a document, call
get_document_contentwith the selected node ID to read its Markdown body. search_documentsdoes not guarantee workspace or folder scoping. Do not use an unscoped search when the user selected a narrower range; traverse the hierarchy or read the exact document instead.- The MCP exposes both read and write capabilities. A selected source is a routing hint, not write authorization; DingTalk remains the authority for 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.
- 1mo ago First seen · 26 lines · 32 tokens per session scan A 58846f333118
dingtalk-docs is a skill published in the GitHub repository wecode-ai/Wegent (872 stars, last pushed yesterday), licensed Apache-2.0. It adds 32 tokens to every session and 295 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 2026-08-30.
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