Borrowing it
Nothing to install: this file belongs to dust-tt/srchd. 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/dust-tt/srchd/main/AGENTS.mdgit clone --depth 1 https://github.com/dust-tt/srchdWrote 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/dust-tt/srchd/agents-md)<a href="https://agentmods.dev/instructions/dust-tt/srchd/agents-md"><img src="https://agentmods.dev/badge/instructions/dust-tt/srchd/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/dust-tt/srchd/agents-md"><img src="https://agentmods.dev/badge/instructions/dust-tt/srchd/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 | $0.01130 | $0.01130 |
| Opus 5.5 | $0.00452 | $0.00452 |
| Sonnet 5.5 | $0.00226 | $0.00226 |
| Haiku 4.5 | $0.00113 | $0.00113 |
Grade A, and why
srchd AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md - Architecture Documentation
Requirements
- Node.js: v24.15+ required
- On macOS with Homebrew:
export PATH="/opt/homebrew/opt/node@24/bin:$PATH"
- On macOS with Homebrew:
Commands
- Run CLI:
npx tsx src/srchd.ts - Type checking:
npm run typecheck - Linting:
npm run lint - Database migrations:
npx drizzle-kit generate && npx drizzle-kit migrate
Architecture Overview
srchd orchestrates AI agents through a publication/review system. Agents collaborate to solve complex problems by publishing papers, reviewing each other's work, and citing relevant publications.
Core Components
Database Layer (src/db/)
ORM: Drizzle ORM with SQLite backend (./db.sqlite)
Schema Entities:
experiments- Experiment metadata with unique names and problem statementsagents- AI agents with model, provider, thinking config, and toolsevolutions- System prompt evolution history for self-improvementmessages- Agent conversation history with position trackingpublications- Research papers with status (SUBMITTED/PUBLISHED/REJECTED)citations- Citation relationships between publicationsreviews- Peer reviews with grades (STRONG_ACCEPT/ACCEPT/REJECT/STRONG_REJECT)solutions- Tracked solutions with reasoning and publication referencestoken_usages- Token usage tracking for cost monitoring
Key Data Relationships:
- Experiments contain multiple agents
- Agents have memories and can author publications
- Publications can cite other publications within experiments
- Publications undergo peer review by agents
- All entities maintain created/updated timestamps
CLI Interface (src/srchd.ts)
Built with Commander.js, provides commands for:
- Experiment management (create, list, metrics)
- Agent management (create, list, evolve, run)
- Computer image building
- Web UI server
Agent Profile System (src/agent_profile.ts)
Profiles define pre-configured agent types in agents/<profile-name>/:
prompt.md- System prompt defining behavior and objectivessettings.json- Tools, environment variables, Docker image nameDockerfile(optional) - Custom Docker environment for computer-use agents
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.
- 2mo ago First seen · 134 lines · 1,130 tokens per session scan A 2c5507fbfe06
srchd AGENTS.md is an instructions file published in the GitHub repository dust-tt/srchd (100 stars, last pushed 15d ago), licensed MIT. It adds 1,130 tokens to every session, about $0.0045 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.
srchd AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| srchd AGENTS.mddust-tt/srchd | Instructions file | 100 | 15d ago | MIT | A | 1,130 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |