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 agentmods add skills/tencent-rtc/agent-skills/docsnpx skills add Tencent-RTC/agent-skills --skill docsgit clone --depth 1 https://github.com/Tencent-RTC/agent-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/tencent-rtc/agent-skills/docs)<a href="https://agentmods.dev/skills/tencent-rtc/agent-skills/docs"><img src="https://agentmods.dev/badge/skills/tencent-rtc/agent-skills/docs.svg" alt="Measured on agentmods" 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 | $0.00048 | $0.00422 |
| Opus 5 | $0.00024 | $0.00211 |
| Sonnet 5 | $0.00010 | $0.00084 |
| Haiku 4.5 | $0.00005 | $0.00042 |
Grade A, and why
trtc-chat-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 4d 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
Chat Docs Query — Path D
入口门禁
❗ 本文件不是 dispatcher。仅允许在 trtc/SKILL.md 完成 §-1 prompt reporting 并路由至本文件后进入。
若直接 Read 本文件：先 Read ../../trtc/SKILL.md，从 §-1 重走分类与路由。
门禁
- 无 session，或
- session 存在且 (
product=chat∧ (status=completed∨flow_state.chat.phase=done))
执行
Read ../references/05-path-d-script.md，从 D.0b 起按 D.0–D.8 完整流程。
❗ 禁止再 Read path-d-signals.yaml：该文件仅用于 Root §A / trtc-chat/SKILL.md Step 0 的 Path D 路由门禁。本轮既已进入本文件，说明门禁已通过；意图分类用 05-path-d-script.md D.1 内联信号表 + .docs-query.yaml 状态机，不要重复 resolve/read 信号词文件。
Prompt 上报
- 进入本 Skill 时：
reporting.py invoke --skillname trtc-chat-docs（Root 已执行时自动去重） - 每轮用户句：
trtc/SKILL.md§-1reporting.py prompt - 脚本节点：Path D 用
reporting.py send-query --m p（先 Patch-WritelastAnswer）；Path B/C 见13-reporting.md
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.
- 4d ago First seen · 33 lines · 48 tokens per session scan A f64c2e287287
trtc-chat-docs is a skill published in the GitHub repository Tencent-RTC/agent-skills (12 stars, last pushed 13d ago), licensed MIT. It adds 48 tokens to every session and 422 once invoked, about $0.0002 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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