Borrowing it
Nothing to install: this file belongs to matheusht/redthread. 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/matheusht/redthread/main/AGENTS.mdgit clone --depth 1 https://github.com/matheusht/redthreadWrote 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/matheusht/redthread/agents-md)<a href="https://agentmods.dev/instructions/matheusht/redthread/agents-md"><img src="https://agentmods.dev/badge/instructions/matheusht/redthread/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/matheusht/redthread/agents-md"><img src="https://agentmods.dev/badge/instructions/matheusht/redthread/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 | $0.02019 | $0.02019 |
| Opus 5.5 | $0.00808 | $0.00808 |
| Sonnet 5.5 | $0.00404 | $0.00404 |
| Haiku 4.5 | $0.00202 | $0.00202 |
Grade A, and why
redthread 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 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RedThread Agent Architecture
This document dictates the behavior and orchestration of the Antigravity Agent when working within the RedThread repository.
All behavioral configurations must strictly refer to the docs/ sources of truth.
1. Core Operating Guidelines
- Decision Matrix: Before running any operation, the agent must consult docs/AGENT_DECISION_TREE.md to identify which domain document to load based on the user's intent.
- Working Methodology: All tasks must follow the RPI (Research → Plan → Implement) flow outlined in docs/RPI_METHODOLOGY.md. Context must not exceed 40% window utilization.
- Default Response Style: Use full caveman mode by default unless the user asks for a different style. That means simple words, short direct sentences, practical structure, low fluff, and clear "what this is / why it matters / what next" guidance.
2. The Orchestration Workflow (Principal vs Subagents)
Antigravity operates as the Principal Agent inside the RedThread ecosystem. It acts identically to the LangGraph supervisor documented in docs/PHASE_REGISTRY.md and docs/AGENT_ARCHITECTURE.md—it manages the task graph while delegating execution.
The Principal Agent Must:
- Clarify intent.
- Load relevant
.agent/rules/. - Read the relevant document from
docs/AGENT_DECISION_TREE.md. - Trigger the correct
.agent/skills/.
Subagent Usage
When tasks bridge boundaries, the Principal Agent MUST delegate:
- Research Agent (Model: Opus 4.6): Use for sweeping file aggregation or reading large datasets. Focuses strictly on extracting context, paths, and patterns without modifying files.
- Plan Agent / Implement Agent: Used to isolate complex edits (e.g. creating a PersonaGenerator node) from the Principal Agent's context. Always requires explicit
.agent/skills/procedures like TAP, PAIR, or G-Eval execution.
3. Mandatory Component Rules
Do not maintain rules in this document.
Always apply .agent/rules/ for global operations. Use .agent/skills/ for specific tasks.
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 · +11 lines · +90 tokens per session dbcd238b571a
- 2mo ago First seen · 130 lines · 1,929 tokens per session scan A aa362dac7083
redthread AGENTS.md is an instructions file published in the GitHub repository matheusht/redthread (52 stars, last pushed 8d ago), licensed MIT. It adds 2,019 tokens to every session, about $0.0081 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 2026-09-01.
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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 copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.