Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/nlweb-ai/nlweb/claude-mdgit clone --depth 1 https://github.com/nlweb-ai/NLWebWrote 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/nlweb-ai/nlweb/claude-md)<a href="https://agentmods.dev/instructions/nlweb-ai/nlweb/claude-md"><img src="https://agentmods.dev/badge/instructions/nlweb-ai/nlweb/claude-md.svg" alt="Measured on agentmods" 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 | $0.01149 | $0.01149 |
| Opus 5 | $0.00575 | $0.00575 |
| Sonnet 5 | $0.00230 | $0.00230 |
| Haiku 4.5 | $0.00115 | $0.00115 |
Grade A, and why
NLWeb CLAUDE.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 3d 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 — 136 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.
MOST IMPORTANT GUIDELINE: Only implement exactly what you have been asked to. Do not add additional functionality. You tend to over complicate.
Project Overview
NLWeb is a conversational interface platform that enables natural language interactions with websites. It leverages Schema.org markup and supports MCP (Model Context Protocol) for AI agent interactions.
Common Development Commands
Running the Server
# Start aiohttp server (recommended)
./startup_aiohttp.sh
# Or directly from AskAgent/python
cd AskAgent/python
python -m webserver.aiohttp_server
Running Tests
# Quick test suite (from AskAgent directory)
cd AskAgent
./python/testing/run_all_tests.sh
# Comprehensive test runner with options
./python/testing/run_tests_comprehensive.sh -m end_to_end # Specific test type
./python/testing/run_tests_comprehensive.sh --quick # Quick smoke tests
# Run specific Python tests
cd AskAgent/python
python -m pytest testing/ -v
# Single test execution
python -m testing.run_tests --single --type end_to_end --query "test query"
Linting and Type Checking
# No standard lint/typecheck commands found in codebase
# Suggest adding these to the project if needed
Architecture Overview
Backend Architecture (AskAgent/python/)
Core Flow: Query → Pre-retrieval Analysis → Tool Selection → Retrieval → Ranking → Response Generation
-
Entry Point:
webserver/aiohttp_server.py- Async HTTP server handling REST API and WebSocket connections -
Request Processing Pipeline:
core/baseHandler.py- Main request handler orchestrating the flowpre_retrieval/- Query analysis, decontextualization, relevance detectionmethods/- Tool implementations (search, item details, ensemble queries)retrieval/- Vector database clients (Qdrant, Azure AI Search, Milvus, Snowflake, Elasticsearch)core/ranking.py- Result scoring and rankingllm/- LLM provider integrations (OpenAI, Anthropic, Gemini, Azure, etc.)
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.
- 3d ago First seen · 136 lines · 1,149 tokens per session scan A 0db16861ac34
NLWeb CLAUDE.md is an instructions file published in the GitHub repository nlweb-ai/NLWeb (6,253 stars, last pushed 23d ago), licensed MIT. It adds 1,149 tokens to every session, about $0.0057 per session on Opus 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.
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).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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 oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.