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 rojim666/SztuCode --skill tencent-docsgit clone --depth 1 https://github.com/rojim666/SztuCodeWrote 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/rojim666/sztucode/tencent-docs)<a href="https://agentmods.dev/skills/rojim666/sztucode/tencent-docs"><img src="https://agentmods.dev/badge/skills/rojim666/sztucode/tencent-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/rojim666/sztucode/tencent-docs"><img src="https://agentmods.dev/badge/skills/rojim666/sztucode/tencent-docs.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 | $0.00273 | $0.02829 |
| Opus 5 | $0.00137 | $0.01414 |
| Sonnet 5 | $0.00055 | $0.00566 |
| Haiku 4.5 | $0.00027 | $0.00283 |
Grade A, and why
tencent-docs 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
不走 OAuth 授权页。所有工具调用一律走 `tencentdocs.py` 的 `tdoc_call` 入口（纯 Python 标准库，跨平台，Windows 无需 bash/curl），由它在调用时通过 HTTP header How it starts
The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
腾讯文档个人版 MCP 使用指南
本 skill 面向腾讯文档个人版（
docs.qq.com），通过 MCP 对云端文档进行管理与编辑。
🚨 多 endpoint 架构：能力分散在 4 个独立 MCP endpoint 上，调用前认准 service 名—— doc / sheet / slide 的精细编辑分别走
doc-mcp/sheet-mcp/slide-mcp， 文件管理 / 创建 / 搜索 / OCR / 剪藏 / smartcanvas / smartsheet 走主服务tencent-docs。 4 个 endpoint 共用同一套宿主票据。
前置：鉴权 / 调用方式
本 skill 运行在 tencent-docs-plugin 插件中，鉴权完全依赖宿主（如 Workbuddy 连接器）注入的票据，
不走 OAuth 授权页。所有工具调用一律走 tencentdocs.py 的 tdoc_call 入口（纯 Python 标准库，跨平台，Windows 无需 bash/curl），由它在调用时通过 HTTP header
即时透传票据到服务端，不落盘。详见 references/auth.md。
首次使用前执行一次环境检查：
python3 tencentdocs.py tdoc_init
# READY → 已就绪，直接干活
# ERROR:no_token → 请在宿主（Workbuddy）中完成腾讯文档授权后重试
调用任意工具：
python3 tencentdocs.py tdoc_call <service> <tool> '[json_args]'
🚨 调用任何工具前，必须先查它的参数定义，严禁凭记忆/猜测拼参数：
python3 tencentdocs.py tdoc_schema <service> <tool> # 输出该工具描述 + 参数（✓=必填）按
tdoc_schema返回的参数名/类型/必填项构造json_args再tdoc_call；需要原始 JSON Schema 加--raw。工具清单用tdoc_list <service>。
| service | endpoint | 工具范围 |
|---|---|---|
tencent-docs |
https://docs.qq.com/openapi/mcp |
通用工具（manage / smartcanvas / smartsheet / OCR / scrape / 创建类） |
doc-mcp |
https://docs.qq.com/api/v6/doc/mcp |
doc（Word）精细编辑，工具名无 doc. 前缀 |
sheet-mcp |
https://docs.qq.com/api/v6/sheet/mcp |
sheet（Excel）精细编辑，工具名无 sheet. 前缀 |
slide-mcp |
https://docs.qq.com/api/v6/slide/mcp |
slide（PPT）精细编辑，工具名带 slide_ 前缀 |
查看某 endpoint 的真实工具清单：
python3 tencentdocs.py tdoc_list <service>； 查单个工具的参数定义：python3 tencentdocs.py tdoc_schema <service> <tool>。
能力总览
A. 文档列表 / 空间管理 ·（tencent-docs）
跨品类的文件与空间管理（增删改、移动、搜索、权限、导入导出、OCR、网页剪藏、知识库空间），不区分文档类型。 完整工具清单见 manage.md；知识库空间见 references/space_references.md。
file_id的来源在这里 —— 一切内容操作都先在本类工具里拿到目标文档的file_id。
What ships with it
16 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.
- doc/create.md 1.6 KB
- doc/doc_format/README.md 2.9 KB
- doc/edit.md 3.9 KB
- manage.md 2.6 KB
- references/aipage_references.md 5.5 KB
- references/auth.md 5.7 KB
- references/diagram_references.md 2.3 KB
- references/ocr_references.md 3.4 KB
- references/space_references.md 7.3 KB
- sheet/create.md 957 B
- sheet/edit.md 4.2 KB
- slide/create.md 201 B
- slide/edit.md 6.9 KB
- smartcanvas.md 1.2 KB
- smartcanvas/mdx_references.md 24 KB
- smartsheet.md 1.5 KB
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 · 126 lines · 273 tokens per session scan A a306930a8b7b
tencent-docs is a skill published in the GitHub repository rojim666/SztuCode (64 stars, last pushed today), licensed MIT. It adds 273 tokens to every session and 2,829 once invoked, about $0.0014 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 2026-09-12.
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