Borrowing it
Nothing to install: this file belongs to HybridAIOne/hybridclaw. 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/HybridAIOne/hybridclaw/main/AGENTS.mdgit clone --depth 1 https://github.com/HybridAIOne/hybridclawWrote 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/hybridaione/hybridclaw/agents-md)<a href="https://agentmods.dev/instructions/hybridaione/hybridclaw/agents-md"><img src="https://agentmods.dev/badge/instructions/hybridaione/hybridclaw/agents-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/hybridaione/hybridclaw/agents-md"><img src="https://agentmods.dev/badge/instructions/hybridaione/hybridclaw/agents-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 | $0.06081 | $0.06081 |
| Opus 5 | $0.03040 | $0.03040 |
| Sonnet 5 | $0.01216 | $0.01216 |
| Haiku 4.5 | $0.00608 | $0.00608 |
Grade A, and why
hybridclaw 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 5d 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 — 570 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — HybridClaw Engineering Protocol
This file is the canonical repo-level instruction set for coding agents working in HybridClaw. Read it before any code change.
Scope
- Follow this file first.
- If a deeper directory contains its own
AGENTS.md, that file overrides this one for its subtree. - Keep
CLAUDE.mdaligned with this file.CLAUDE.mdshould only carry tool-specific deltas. templates/*.mdare product runtime workspace bootstrap files, not repo contributor onboarding docs.
1) Project Snapshot
HybridClaw is a personal AI assistant bot for Discord, powered by HybridAI. Enterprise-grade Node.js 22 application with gateway service, TUI client, and Docker-sandboxed container runtime.
Version: 0.30.1 | Package: @hybridaione/hybridclaw
| License: see LICENSE
Architecture: gateway (core runtime, SQLite persistence, REST API, Discord
integration) → container (Docker-sandboxed tool execution via file-based IPC) →
TUI (thin HTTP client). Agent workspaces are bootstrapped from templates/ and
seeded with identity, memory, and context files managed by src/workspace.ts.
2) Project Map
src/
cli.ts CLI entry point and command dispatch
types.ts Core type definitions (ChatMessage, ContainerInput, ToolExecution, etc.)
workspace.ts Workspace bootstrap (SOUL.md, IDENTITY.md, USER.md, etc.)
logger.ts Structured logging (pino)
tui.ts Terminal UI
onboarding.ts Interactive onboarding
model-selection.ts Model selection logic
agent/ Agent execution: conversation loop, tool executor, prompt hooks, delegation
audit/ Append-only audit trail, approval tracking, hash-chain integrity
auth/ HybridAI and OpenAI Codex authentication flows
channels/ Channel transports (discord, slack, telegram, email, whatsapp, msteams, voice, imessage)
config/ CLI flag parsing, runtime config management
doctor/ Doctor checks and resource hygiene maintenance
gateway/ Core gateway service: HTTP APIs, health, session mgmt, approvals
infra/ Container setup, IPC (file-based), worker signatures, runners
memory/ SQLite database, semantic memory, compaction, consolidation, chunking
providers/ Model providers (HybridAI, Anthropic, OpenAI, Ollama, LM Studio, vLLM)
scheduler/ Scheduled task execution and cron management
security/ Mount allowlists, approval policies, secret redaction, instruction audit
session/ Session transcripts, token tracking, compaction, export
skills/ Skill resolution, installation, trust-aware guard
utils/ Shared utilities
media/ Media handling and context management
container/ Sandboxed runtime (separate npm package)
src/ Container agent runtime, tool execution, provider adapters, MCP client
Dockerfile Container build definition
package.json Container-specific deps (Playwright, agent-browser, PDF, MCP SDK)
skills/ Bundled SKILL.md skills (pdf, docx, xlsx, pptx, office, personality, etc.)
templates/ Runtime workspace bootstrap files seeded into agent workspaces
tests/ Vitest suites: unit, integration, e2e, live
docs/ Static site assets, development reference docs
console/ Web console workspace package
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.
- 5d ago Changed ed0fc9ab085e
- 9d ago First seen · 570 lines · 6,081 tokens per session scan A 1d34cdf66af2
hybridclaw AGENTS.md is an instructions file published in the GitHub repository HybridAIOne/hybridclaw (132 stars, last pushed today), licensed MIT. It adds 6,081 tokens to every session, about $0.0304 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
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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.
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).
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).
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.
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.