Borrowing it
Nothing to install: this file belongs to guzus/ai-research-arm. 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/guzus/ai-research-arm/main/CLAUDE.mdgit clone --depth 1 https://github.com/guzus/ai-research-armWrote 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/guzus/ai-research-arm/claude-md)<a href="https://agentmods.dev/instructions/guzus/ai-research-arm/claude-md"><img src="https://agentmods.dev/badge/instructions/guzus/ai-research-arm/claude-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/guzus/ai-research-arm/claude-md"><img src="https://agentmods.dev/badge/instructions/guzus/ai-research-arm/claude-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 | $0.17808 | $0.17808 |
| Opus 5 | $0.08904 | $0.08904 |
| Sonnet 5 | $0.03562 | $0.03562 |
| Haiku 4.5 | $0.01781 | $0.01781 |
Grade A, and why
ai-research-arm CLAUDE.md scanned grade A with 1 finding 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 yesterday.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| `market-quotes.yml` | every 3h `:53` | Deterministic refresh of `research/market/quotes.json` from Yahoo for every wiki entity carrying `market` frontmatter — the price row in the wiki hover card and on the entity page How it starts
The opening of the file, as written. The whole thing — 811 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
Operating guide for AI agents working in this repo. Read this before touching workflows, research output, or the dashboard.
New here, or just found this on GitHub? This file is the operator's manual for the live deployment and assumes the maintainer's infrastructure (self-hosted runners, S3, telemetry, X cookies). If you are exploring or forking the project, start with
README.md: its Quickstart runs with no accounts, and the License and "What you can run vs. what needs accounts" sections explain what is reproducible outside the original deployment.
Project Overview
ai-research-arm (ARA) is an automated AI-news intelligence pipeline.
GitHub Actions on the self-hosted gunux Linux runner aggregate signal from
Twitter/X, RSS, Bluesky, Hacker News, Reddit, and arXiv; synthesize it
into daily digests, model-release timelines, and long-form generative
articles; and publish everything to a Vite/TS SPA at
ara.guzus.xyz.
Core Pipeline Architecture
sources (Twitter/RSS/Bluesky/HN/Reddit/arXiv)
→ aggregator workflows (hourly/4h/daily) write into research/<source>/
→ synthesis workflows (digest, news research, model timeline) read research/
→ output workflows (front-page, generative-research) produce shareable artifacts
→ dashboard prebuild copies research/* into dashboard/public/research/
→ Railway rebuilds the root Dockerfile image and deploys on every push to main
Daily-improve runs at the tail of the cycle, reads yesterday's output, and opens a PR with methodology fixes.
Key Components
| Path | What it is |
|---|---|
ARA_DSL.md |
Source format for generative-research articles; scripts/compile_ara.py turns .ara.md into a validated <article> fragment. |
ARA_CATALOG.json + COMPONENTS.md |
The ara-* class allowlist the validator loads, and its human reference. Kept in lockstep by CI — see "Component catalog" below. |
data/agent-backends.json |
Routing SSOT: per-lane backend, profile table, ordered fallback chain. See Backends. |
data/artifact-slos.json |
Artifact/SLO SSOT: producer, exact output paths, cadence kind, freshness threshold, validators, content policy, and degraded behavior. Event/on-demand artifacts are inventoried without false clock-based paging. |
docs/*.md |
Per-lane contracts, read at runtime by the agents and enforced by the matching validator: model-tickets, model-onboarding, wiki-schema, okf, headline-dedupe, blog-subscriptions, twitter-account-curation, twitter-model-ab, generative-research-backends, backend-matrix (generated), claim-store, hooker-telemetry. docs/archive/ holds superseded docs + improvement logs. |
dashboard/ |
Vite + Bun + TypeScript SPA. prebuild.mjs copies research/* into public/research/ and emits manifest.json. |
Dockerfile + Caddyfile + railway.json |
The Railway stack serving ara.guzus.xyz behind Cloudflare (responses carry x-railway-edge): bun build → Caddy serves dashboard/dist; railway.json pins the DOCKERFILE builder + / healthcheck. Vercel no longer serves the domain — rule 3. |
data/, research/ |
Static lookup data for aggregation scripts; all generated artifacts (subdir map in "Output Locations"). |
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.
- yesterday Changed · +10 lines · +202 tokens per session 9b04d1c5542a
- 3d ago Changed · +15 lines · +590 tokens per session 177b9115d844
- 5d ago Changed · +11 lines · +271 tokens per session ab92f2a5ad13
- 9d ago First seen · 775 lines · 16,745 tokens per session scan A bfb73888d5ac
ai-research-arm CLAUDE.md is an instructions file published in the GitHub repository guzus/ai-research-arm (11 stars, last pushed today), licensed MIT. It adds 17,808 tokens to every session, about $0.0890 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
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AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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vscode oss-third-party-notices.instructions.md
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deepseek-harness AGENTS.md
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