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/ianphil/chamber/agents-mdgit clone --depth 1 https://github.com/ianphil/chamberWhat 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 | $0.00874 | $0.00874 |
| Opus 5 | $0.00437 | $0.00437 |
| Sonnet 5 | $0.00175 | $0.00175 |
| Haiku 4.5 | $0.00087 | $0.00087 |
Grade A, and why
chamber 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 2d 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md - Chamber Agent Governance
Overview
Chamber is a desktop application where AI agents ("minds") operate as a Chief of Staff. Agents connect via the GitHub Copilot SDK and can extend the UI, execute tool calls, modify data, and run scheduled jobs.
Agent Capabilities
Minds
- Identity: Each mind has a name, personality, and persistent memory
- Tool access: Minds invoke tools via the Copilot SDK (model-driven tool calls)
- Lens views: Minds can create
view.jsonfiles in.github/lens/to extend the UI with 7 view types (form, table, briefing, detail, status-board, timeline, editor) - Write-back: Minds can modify data through the action bar on any Lens view
- Canvas: Minds can render HTML dashboards, reports, and forms in a browser with live reload
- Cron: Minds can schedule TypeScript automation scripts under
.chamber/automation/*.tsauthored as direct ttasks programs with@ianphil/ttasks-ts;@chamber/automation-runtimesupplies only Chamber bridge helpers/handlers
Chatroom (Multi-Agent)
- Concurrent: All agents respond in parallel
- Sequential: Round-robin turns
- GroupChat: Moderator-directed conversation
- Handoff: Agent-to-agent delegation
- Magentic: Manager-driven task ledger
Security Boundaries
Credential Storage
- Credentials stored via
keytar(OS-native keychain) - Never store credentials in mind directories or
.working-memory/
Tool Execution
- All tool calls flow through the Copilot SDK
- Approval gate (
approval-gate.ts) provides tool execution review - Observability layer (
observability.ts) emits structured events with redaction
Automation Scripts (Cron)
- Cron schedules execute TypeScript files under
<mind>/.chamber/automation/*.tsvia a bundled Node + tsx + typescript runtime (resources/automation-runtime/). - Script paths are validated by
validateScriptPath— must be relative, inside.chamber/automation/, end in.ts, and resolve (with symlinks) to a real file under that directory. Path traversal and symlink-escape are rejected. ScriptRunnerspawns each script in a child Node process withCHAMBER_BRIDGE_URL+ a per-spawnCHAMBER_BRIDGE_TOKENminted byTokenRegistry. Tokens are revoked on script exit and on registry shutdown.AutomationBridgeis a loopback HTTP server (127.0.0.1) requiringAuthorization: Bearer <token>. It exposes/prompt(delegates to the calling mind's chat) and/notify(UI surface). All requests are bound to the mind that owns the token.automation_validaterunstsc --noEmitagainst the script before execution, surfacing type errors to the mind.
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.
- 2d ago First seen · 65 lines · 874 tokens per session scan A 4a4113fce8cb
chamber AGENTS.md is an instructions file published in the GitHub repository ianphil/chamber (11 stars, last pushed 1mo ago), licensed MIT. It adds 874 tokens to every session, about $0.0044 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
deer-flow CLAUDE.md
Claude Code instructions for bytedance/deer-flow: The repo's agent guidance lives in AGENTS.md so it is shared across coding agents (Claude Code, Codex, and others). Claude Code imports it below.
zeroclaw CLAUDE.md
Claude Code instructions for zeroclaw-labs/zeroclaw, covering claude.md — zeroclaw (claude code), claude code settings, hooks and slash commands.
nuwax AGENTS.md
Instructions for nuwax-ai/nuwax, covering ai agent system documentation, 系统概述, ai agent 架构, 核心组件 and ai 功能特性.
AgentEval memory-benchmarks.instructions.md
Guidelines for working with AgentEval Memory module — benchmarks, reporting, HTML reports, and LongMemEval integration.
AgentEval copilot-instructions.md
Instructions for AgentEvalHQ/AgentEval, covering agenteval - ai coding agent instructions, architecture overview, environment setup, optional: secondary models for comparison and build & test commands.
framework AGENTS.md
Instructions for ai-driven-dev/framework, covering agents.md, behavior, communication, action and memory management.