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 | $0.22936 | $0.22936 |
| Opus 5.5 | $0.09174 | $0.09174 |
| Sonnet 5.5 | $0.04587 | $0.04587 |
| Haiku 4.5 | $0.02294 | $0.02294 |
Grade B, and why
ai-research-arm CLAUDE.md scanned grade B with 2 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 today.
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.
Reads MCP configurationmediumAgent snooping
mcp.json carries server URLs and auth tokens; reading it lets a mod discover and abuse other integrations.
| **Claude Sonnet 5.5 (isolated Claude Code)** | Standby for strict isolated routes (served them 2026-10-31 to 2026-11-05; currently quota-blocked); `claude-isolated-canary.yml` | `CLAUDE_CODE_OAUTH_TOKEN` | Claude Code 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 — 940 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, SEC filings, podcasts + YouTube via tuber)
→ 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
→ aradio.yml (as input lanes finish) CRUDs a situation board and airs two-host audio bulletins
→ 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, aradio (the Aradio contract: gate, inbox, editor ops, validator, writer, published files). 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.
- today Changed · +7 lines · +101 tokens per session a61ae190bcde
- yesterday Changed · -10 lines · -298 tokens per session 9a4368248d54
- 4d ago Changed · +1 tokens per session 0812a7bc6566
- 5d ago Changed · +25 lines · +2,192 tokens per session scan A → B 991c651c83ad
- 6d ago Changed · +64 lines · +2,521 tokens per session 3ea1ab1d197e
- 12d ago Changed · +27 lines · +330 tokens per session 10da094d7364
- 21d ago Changed 092e81c2eeb0
- 1mo ago Changed · +16 lines · +281 tokens per session 802e1a90cadc
- 2mo ago Changed · +10 lines · +202 tokens per session 9b04d1c5542a
- 2mo ago First seen · 801 lines · 17,606 tokens per session scan A 177b9115d844
ai-research-arm CLAUDE.md is an instructions file published in the GitHub repository guzus/ai-research-arm (14 stars, last pushed today), licensed MIT. It adds 22,936 tokens to every session, about $0.0917 per session on Opus 5.5. A static security scan graded it B with 2 findings (reads mcp configuration, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
ai-research-arm CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ai-research-arm CLAUDE.mdguzus/ai-research-arm | Instructions file | 14 | today | MIT | B | 22,936 | Claude Code |
| 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 |