Borrowing it
Nothing to install: this file belongs to Khamel83/argus. 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/Khamel83/argus/main/AGENTS.mdgit clone --depth 1 https://github.com/Khamel83/argusWrote 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/khamel83/argus/agents-md)<a href="https://agentmods.dev/instructions/khamel83/argus/agents-md"><img src="https://agentmods.dev/badge/instructions/khamel83/argus/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/khamel83/argus/agents-md"><img src="https://agentmods.dev/badge/instructions/khamel83/argus/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 | $0.04304 | $0.04304 |
| Opus 5.5 | $0.01722 | $0.01722 |
| Sonnet 5.5 | $0.00861 | $0.00861 |
| Haiku 4.5 | $0.00430 | $0.00430 |
Grade A, and why
argus 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 6d 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 — 343 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Argus
What this file is for: the canonical guide for AI coding agents working in this repository (Claude Code, Codex, Cursor, Copilot, OpenCode, and friends). Human contributors should start with CONTRIBUTING.md; background on the project lives in CONTEXT.md and README.md. CLAUDE.md is a short pointer back here with Claude-Code-specific notes.
Overview
Search infrastructure for AI agents: 14 providers, topology-aware routing, WolframAlpha computed answers, and a 12-step content extraction chain. Provider adapters: SearXNG (self-hosted, aggregates 70+ engines, disabled by default), DuckDuckGo, Yahoo (scraped), GitHub, WolframAlpha (free API, computed answers), Brave, Tavily, Exa, Linkup, Parallel AI (monthly credit for eligible accounts with a card on file), Serper, You.com, Valyu, SearchAPI. Tier-based routing: free providers first, monthly recurring next, one-time credits last. Budget enforcement skips exhausted providers automatically. Multi-turn sessions use the configured SQL repository.
Features
- Topology-aware acquisition — Argus knows if it's on a residential IP or datacenter, routing search and extraction automatically to avoid blocks and minimize network hops.
- Adaptive Domain Memory — Learns which domains fail from datacenter IPs but succeed from residential ones, automatically routing future requests for those domains to residential egress.
- Universal Provenance — Every search result and extraction is tagged with
egress(residential|datacenter),machine, andsource_type. - Intelligent Routing — Tier-based routing: free providers first, monthly recurring next, one-time credits last. Budget enforcement skips exhausted providers automatically.
- 12-step Extraction — Trafilatura → Crawl4AI → Playwright → Jina → Valyu → Firecrawl → You → Archive with quality gates and completeness assessment.
Two Deployment Tiers
Tier 1: No server (API keys only)
pip install argus-search— works immediately with DuckDuckGo + Yahoo- Add WOLFRAM_APP_ID for computed answers (math, facts, conversions — 2,000 free/month)
- Add API keys for 7,000+ more free monthly queries; eligible Parallel accounts with a card on file can bring the total to as much as 12,000+
- Extraction via external APIs only (Jina, Valyu Contents, Firecrawl, You.com Contents, Wayback)
- Default SQLite persistence (no database server required)
- Works on any machine with Python 3.11+ (laptop, Mac Mini, Pi, cloud VM)
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.
- 6d ago Changed · +12 lines · +139 tokens per session ec4e14f770b9
- 20d ago Changed · +4 lines · +42 tokens per session 58feb9a5e721
- 28d ago Changed · +3 lines · +57 tokens per session d163d5a899ba
- 29d ago Changed · +8 lines · +123 tokens per session 64cba973976b
- 1mo ago Changed · +3 lines · +55 tokens per session 72a24051a15d
- 1mo ago Changed · +7 lines · +91 tokens per session c8b767f936aa
- 1mo ago Changed · -4 lines · -71 tokens per session 77e5bfeb09f4
- 1mo ago Changed · +36 lines · +449 tokens per session 4c13226f804a
- 1mo ago Changed · +36 lines · +424 tokens per session f9184ad4fb70
- 1mo ago First seen · 238 lines · 2,995 tokens per session scan A 979fb7c4975f
argus AGENTS.md is an instructions file published in the GitHub repository Khamel83/argus (8 stars, last pushed yesterday), licensed MIT. It adds 4,304 tokens to every session, about $0.0172 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 2026-08-31.
argus AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| argus AGENTS.mdKhamel83/argus | Instructions file | 8 | yesterday | MIT | A | 4,304 | 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 | yesterday | 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 |