Borrowing it
Nothing to install: this file belongs to AgoraIO/skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/AgoraIO/skills/main/CLAUDE.mdgit clone --depth 1 https://github.com/AgoraIO/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/instructions/agoraio/skills/claude-md)<a href="https://agentmods.dev/instructions/agoraio/skills/claude-md"><img src="https://agentmods.dev/badge/instructions/agoraio/skills/claude-md/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/instructions/agoraio/skills/claude-md"><img src="https://agentmods.dev/badge/instructions/agoraio/skills/claude-md.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 | $0.00939 | $0.00939 |
| Opus 5.5 | $0.00376 | $0.00376 |
| Sonnet 5.5 | $0.00188 | $0.00188 |
| Haiku 4.5 | $0.00094 | $0.00094 |
Grade A, and why
skills CLAUDE.md 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.
How it starts
The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This repo contains AI agent skills for Agora (agora.io) platform integration — RTC, RTM, Conversational AI, server-side tokens, and Cloud Recording.
File Structure
The skill content lives under a nested path: skills/agora/. When adding or editing files, always place them here — not at repo root or in a flat skills/ directory.
skills/
└── agora/ ← skill root (all edits go here)
├── SKILL.md ← entry point; do not restructure this file
└── references/
├── doc-fetching.md ← two-tier lookup procedure (agent-facing)
├── mcp-tools.md ← Agora Docs MCP install guide (docs traversal only)
├── integration-patterns.md ← multi-product coordination (RTC+RTM+ConvoAI)
├── rtc/ ← Web, React, Next.js, iOS, Android, React Native, Flutter
├── rtm/ ← Web, iOS, Android (all v2)
├── conversational-ai/ ← REST API, server SDKs, iOS/Android toolkits, React hooks
├── server/
├── cloud-recording/
├── server-gateway/
└── testing-guidance/
Protected Files
Do not modify the following files without an explicit instruction from the user:
skills/agora/references/rtc/web.mdskills/agora/references/rtc/react.mdskills/agora/references/rtc/ios.mdskills/agora/references/rtc/android.mdskills/agora/references/rtm/web.mdThese files contain stable, high-value inline examples. Edits require a verified reason and an updated eval case.
Freeze-Forever Rule
Before adding any inline content, ask: will this still be correct in 6 months without any updates?
- Yes → put it inline (stable APIs, initialization sequences, gotchas)
- No → route to Level 2 fetch or an external link (REST API schemas, SDK changelogs, vendor configs, model names)
| Content type | Where it lives |
|---|---|
| RTC initialization, track management, event registration | Inline — references/rtc/ |
| RTM messaging and presence patterns | Inline — references/rtm/ |
| Token generation (RTC, RTM, AccessToken2) | Inline — references/server/ (server/ is token generation only — not ConvoAI SDKs) |
| ConvoAI gotchas, field-type rules, REST API lifecycle | Inline — references/conversational-ai/README.md |
| ConvoAI server SDK patterns (auth modes, state machine, session lifecycle, avatar+TTS) | Inline — references/conversational-ai/server-sdks.md |
| ConvoAI auth flow (three-token distinction, sequence diagram) | Inline — references/conversational-ai/auth-flow.md |
| ConvoAI Python SDK patterns (sync/async, deprecations, debug) | Inline — references/conversational-ai/python-sdk.md |
| ConvoAI Go SDK patterns (context.Context, functional options, status constants) | Inline — references/conversational-ai/go-sdk.md |
| ConvoAI quick-start code with vendor-specific imports (Python, Go, Java) | Level 2 fetch |
| ConvoAI full request/response schemas | Level 2 fetch |
| TTS / ASR / LLM vendor configs and model names | Level 2 fetch |
| Cloud Recording REST API field details | Level 2 fetch |
| Error code listings | Level 2 fetch |
| Release notes and new parameters | Level 2 fetch |
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 Changed · +5 lines · +54 tokens per session ddc254867127
- 2mo ago First seen · 74 lines · 885 tokens per session scan A cb0f3143976e
skills CLAUDE.md is an instructions file published in the GitHub repository AgoraIO/skills (89 stars, last pushed 3d ago), licensed MIT. It adds 939 tokens to every session, about $0.0038 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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