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 instructions/agoraio/skills/agents-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/agents-md)<a href="https://agentmods.dev/instructions/agoraio/skills/agents-md"><img src="https://agentmods.dev/badge/instructions/agoraio/skills/agents-md.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 | $0.00717 | $0.00717 |
| Opus 5 | $0.00358 | $0.00358 |
| Sonnet 5 | $0.00143 | $0.00143 |
| Haiku 4.5 | $0.00072 | $0.00072 |
Grade A, and why
skills AGENTS.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 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.
How it starts
The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This repository contains AI agent skills for building with Agora — covering RTC, RTM, Conversational AI, Agora CLI workflows, server-side tokens, and Cloud Recording.
Repository Structure
scripts/
└── validate-skills.sh # Static validation
skills/
└── agora/ # Skill root
├── SKILL.md # Entry point, product index
└── references/
├── doc-fetching.md # Two-tier lookup procedure
├── mcp-tools.md # MCP tool reference + graceful degradation
├── integration-patterns.md # RTC + RTM + ConvoAI coordination
├── cli/ # Agora CLI: install, auth, init, quickstarts, env, doctor, automation
├── rtc/ # RTC: Web, React, Next.js, iOS, Android, RN, Flutter
├── rtm/ # RTM v2: Web, iOS, Android
├── conversational-ai/ # ConvoAI: REST, SDKs, toolkits, auth flow
├── server/ # Token generation
├── cloud-recording/ # Cloud Recording REST API
├── server-gateway/ # Linux Server Gateway
└── testing-guidance/ # Mocking patterns and test guidance
4-Layer Progressive Disclosure
| Layer | What | Size | When Loaded |
|---|---|---|---|
| 1 — Description | Trigger keywords in SKILL.md frontmatter |
~100 words | Always (skill index) |
| 2 — SKILL.md body | Product routing, guardrails, ambiguity rules | ~90 lines | On activation |
| 3 — Product README | Overview, critical rules, topic links | 20–100 lines | Per product |
| 4 — Topic files | Implementation detail, code examples, API reference | 34–500 lines | Per topic |
Freeze-Forever Rule
Ask: will this still be correct in 6 months without any updates? If yes, put it inline. If no, route to Level 2 docs lookup or an external link. MCP is preferred only when installed and supported in the current tool/runtime.
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 · 67 lines · 717 tokens per session scan A 9c544b8814cc
skills AGENTS.md is an instructions file published in the GitHub repository AgoraIO/skills (74 stars, last pushed 6d ago), licensed MIT. It adds 717 tokens to every session, about $0.0036 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.