Borrowing it
Nothing to install: this file belongs to ard1102/ip-intelligence. 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/ard1102/ip-intelligence/master/CLAUDE.mdgit clone --depth 1 https://github.com/ard1102/ip-intelligenceWrote 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/ard1102/ip-intelligence/claude-md)<a href="https://agentmods.dev/instructions/ard1102/ip-intelligence/claude-md"><img src="https://agentmods.dev/badge/instructions/ard1102/ip-intelligence/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/ard1102/ip-intelligence/claude-md"><img src="https://agentmods.dev/badge/instructions/ard1102/ip-intelligence/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 | $0.02799 | $0.02799 |
| Opus 5.5 | $0.01120 | $0.01120 |
| Sonnet 5.5 | $0.00560 | $0.00560 |
| Haiku 4.5 | $0.00280 | $0.00280 |
Grade A, and why
ip-intelligence 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl http://localhost:8004/health How it starts
The opening of the file, as written. The whole thing — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
What This Project Is
Self-hosted, containerized threat intelligence aggregation and enrichment service. Ingests 10 open-source
threat feeds, enriches IP/domain queries with normalized security context, and exposes results via REST API,
MCP server (FastMCP), a React dashboard (ui/), and firewall export endpoints. All output is normalized to
OCSF Class 4001.
Full specification: ip-intel-platform-spec.md
Architecture (read before touching any file)
ip-intel/
├── CLAUDE.md ← This file
├── Dockerfile ← Backend image (python:3.12-slim)
├── docker-compose.yml ← ip-intel (API, port 8004) + ip-intel-ui (nginx, port 80) services
├── .env.example
├── requirements.txt
├── config/
│ └── feeds.yaml ← Feed registry — single source of truth for all feeds
├── app/
│ ├── main.py ← FastAPI app + FastMCP mount, port 8004; all REST routes
│ ├── mcp_tools.py ← MCP @mcp.tool() definitions (mirror the REST routes)
│ ├── intel_store.py ← Unified in-memory store (swap(), quarantine_feed(), rollback_to_last_good())
│ ├── lookup.py ← Bisect engine + RISK_WEIGHTS dict
│ ├── scorer.py ← compute_risk_score() function
│ ├── repair_agent.py ← SelfRepairAgent class (FeedStatus enum, FeedHealthRecord dataclass)
│ ├── scheduler.py ← APScheduler setup, cron per feed
│ ├── ocsf.py ← OCSF class 4001 serialization (OCSFNetworkActivity Pydantic model)
│ ├── models/
│ │ ├── feeds.py ← Per-feed Pydantic models + load_feeds_config() (reads config/feeds.yaml)
│ │ └── ocsf_4001.py ← OCSF Class 4001 Pydantic model
│ ├── enrichers/
│ │ ├── geo.py ← ip-api.com geolocation, TTLCache
│ │ ├── shodan_idb.py ← Shodan InternetDB (no API key), TTLCache
│ │ ├── rdns.py ← Reverse DNS + cloud provider detection
│ │ ├── abuseipdb_cache.py ← CSV cache (5 sync functions, threading.Lock)
│ │ └── abuseipdb.py ← AbuseIPDB API caller, quota guard
│ └── updaters/ ← One module per feed; see "Adding a Feed Updater" below
│ ├── updater_sapics.py ← Phase 1 — no API key
│ ├── updater_tor.py ← Phase 1 — no API key
│ ├── updater_et.py ← Phase 1 — no API key
│ ├── updater_spamhaus.py ← Phase 1 — no API key
│ ├── updater_feodo.py ← Phase 1 — no API key
│ ├── updater_blocklist_de.py ← Phase 1 — no API key
│ ├── updater_cins.py ← Phase 1 — no API key
│ ├── updater_threatfox.py ← Phase 2 — requires THREATFOX_API_KEY
│ ├── updater_otx.py ← Phase 2 — requires OTX_API_KEY
│ └── updater_shadowserver.py ← Phase 2 — requires SHADOWSERVER_API_KEY
├── tests/
│ ├── conftest.py
│ ├── test_lookup_engine.py, test_feed_contracts.py, test_repair_agent.py,
│ │ test_regression.py, test_ocsf_serialization.py, test_enrichers.py,
│ │ test_abuseipdb.py, test_bulk_csv.py, test_search_endpoints.py,
│ │ test_coverage_boost.py, test_mutation_killers.py, test_phase4_gaps.py
│ └── fixtures/
│ ├── known_bad.json ← Regression IPs (known bad actors)
│ └── sample_feeds/ ← Static snapshots for unit tests
├── ui/ ← React 18 + Vite + Tailwind dashboard, served by nginx in prod
│ └── src/
│ ├── App.jsx ← Router (react-router-dom); routes: /dashboard /feeds /lookup /bulk /threatfeed
│ ├── main.jsx
│ ├── api/client.js ← Single fetch wrapper (apiFetch); BASE = VITE_API_BASE_URL
│ ├── hooks/useHealth.js ← SWR poll of /health every 30s; drives the offline/online banner
│ ├── pages/
│ │ ├── Dashboard.jsx ← Platform status + feed summary
│ │ ├── Feeds.jsx ← "Feed Manager" — sortable feed table, quarantine/restore actions
│ │ ├── IPLookup.jsx ← Single-IP lookup + enrichment panels
│ │ ├── BulkSearch.jsx ← Paste/CSV bulk lookup, up to 100/500 IPs
│ │ └── ThreatFeed.jsx ← "Threat Feed" — live ThreatFox IOC browser (distinct from Feeds.jsx)
│ └── components/
│ ├── Layout.jsx ← Sidebar nav, dark-mode toggle (localStorage), connection status
│ ├── StatusBadge.jsx ← Shared status pill (healthy/degraded/quarantined/escalated/restored)
│ ├── RiskGauge.jsx, SignalList.jsx, GeoPanel.jsx, PortsPanel.jsx, AbuseIPDBPanel.jsx
├── docs/ ← Build plans / specs (build-plan.md, v2-*.md, deploy-checklist.md, usage.md)
└── data/
├── schema_hashes.json
├── schema_drift.jsonl
├── health.db
├── snapshots/
└── abuseipdb_cache.csv ← gitignored, persistent AbuseIPDB cache
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 · 209 lines · 2,799 tokens per session scan A b2db41b4d5d2
ip-intelligence CLAUDE.md is an instructions file published in the GitHub repository ard1102/ip-intelligence (0 stars, last pushed 3mo ago), licensed MIT. It adds 2,799 tokens to every session, about $0.0112 per session on Opus 5.5. 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
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.