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 sunnoy/openclaw-plugin-wecom --skill wecom-smartsheet-datagit clone --depth 1 https://github.com/sunnoy/openclaw-plugin-wecomWrote 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/sunnoy/openclaw-plugin-wecom/wecom-smartsheet-data)<a href="https://agentmods.dev/skills/sunnoy/openclaw-plugin-wecom/wecom-smartsheet-data"><img src="https://agentmods.dev/badge/skills/sunnoy/openclaw-plugin-wecom/wecom-smartsheet-data/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/sunnoy/openclaw-plugin-wecom/wecom-smartsheet-data"><img src="https://agentmods.dev/badge/skills/sunnoy/openclaw-plugin-wecom/wecom-smartsheet-data.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 | $0.00102 | $0.01322 |
| Opus 5 | $0.00051 | $0.00661 |
| Sonnet 5 | $0.00020 | $0.00264 |
| Haiku 4.5 | $0.00010 | $0.00132 |
Grade A, and why
wecom-smartsheet-data 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 9d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
企业微信智能表格数据管理
wecom_mcp是一个 MCP tool,所有操作通过调用该 tool 完成。
⚠️ 前置条件:首次调用
wecom_mcp前,必须按wecom-preflight技能执行前置条件检查,确保工具已加入白名单。
⚠️ 路径与停止规则:
- 如果要读取本 skill,必须直接使用
<available_skills>或skillsSnapshot中给出的精确绝对路径。- 不要猜测或改写为
/data/openclaw/skills/wecom-*、/workspace/.openclaw/skills/...、/root/.openclaw/workspace-*/.openclaw/skills/...,也不要用exec+ls/find探路。- 若
wecom_mcp返回errcode: 846609或unsupported mcp biz type,表示当前 bot 未开通该 category,不是路径、白名单或 sandbox 问题;立即停止继续read、list、find、memory fallback 探索,直接告知用户对应 category 未开通。
管理智能表格中的记录(行数据)。所有接口支持通过 docid 或 url 二选一定位文档。
CLI 调用方式
通过 wecom_mcp tool 调用,品类为 doc:
使用 wecom_mcp tool 调用 wecom_mcp call doc <tool_name> '<json_params>' 调用指定技能
返回格式说明
所有接口返回 JSON 对象,包含以下公共字段:
| 字段 | 类型 | 说明 |
|---|---|---|
errcode |
integer | 返回码,0 表示成功,非 0 表示失败 |
errmsg |
string | 错误信息,成功时为 "ok" |
当 errcode 不为 0 时,说明接口调用失败,可重试 1 次;若仍失败,将 errcode 和 errmsg 展示给用户。
smartsheet_get_records
查询子表全部记录。
- 使用
wecom_mcptool 调用wecom_mcp call doc smartsheet_get_records '{"docid": "DOCID", "sheet_id": "SHEETID"}' - 或通过 URL:使用
wecom_mcptool 调用wecom_mcp call doc smartsheet_get_records '{"url": "https://doc.weixin.qq.com/smartsheet/xxx", "sheet_id": "SHEETID"}'
参见 API 详情。
smartsheet_add_records
添加一行或多行记录,单次建议 500 行内。
调用前必须先了解目标表的字段类型(通过 smartsheet_get_fields)。
使用 wecom_mcp tool 调用 wecom_mcp call doc smartsheet_add_records '{"docid": "DOCID", "sheet_id": "SHEETID", "records": [{"values": {"任务名称": [{"type": "text", "text": "完成需求文档"}], "优先级": [{"text": "高"}]}}]}'
各字段类型的值格式参见 单元格值格式参考。
smartsheet_update_records
更新一行或多行记录,单次必须在 500 行内。需提供 record_id(通过 smartsheet_get_records 获取)。
使用 wecom_mcp tool 调用 wecom_mcp call doc smartsheet_update_records '{"docid": "DOCID", "sheet_id": "SHEETID", "records": [{"record_id": "RECORDID", "values": {"任务名称": [{"type": "text", "text": "更新后的内容"}]}}]}'
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.
- 9d ago First seen · 77 lines · 102 tokens per session scan A 9033047885ec
wecom-smartsheet-data is a skill published in the GitHub repository sunnoy/openclaw-plugin-wecom (705 stars, last pushed 3mo ago), licensed ISC. It adds 102 tokens to every session and 1,322 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 2026-08-30.
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