Borrowing it
Nothing to install: this file belongs to lopes/foxglove. 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/lopes/foxglove/main/CLAUDE.mdgit clone --depth 1 https://github.com/lopes/foxgloveWrote 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/lopes/foxglove/claude-md)<a href="https://agentmods.dev/instructions/lopes/foxglove/claude-md"><img src="https://agentmods.dev/badge/instructions/lopes/foxglove/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/lopes/foxglove/claude-md"><img src="https://agentmods.dev/badge/instructions/lopes/foxglove/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 | $0.01750 | $0.01750 |
| Opus 5.5 | $0.00700 | $0.00700 |
| Sonnet 5.5 | $0.00350 | $0.00350 |
| Haiku 4.5 | $0.00175 | $0.00175 |
Grade A, and why
foxglove 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 1mo 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 — 126 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.
Project Overview
Foxglove is an AI-powered adversary engagement tool that generates high-fidelity, context-aware honeyfiles using Anthropic's Claude, and optionally mints and embeds honeytokens from a Thinkst Canary console. It automates creation of convincing fake data for defensive security operations, aligned with the MITRE Engage framework.
Glossary
- honeyfile — a decoy document produced by
foxglove generate(PDF, DOCX, XLSX, etc.). - honeytoken — a callback URL/hostname minted on a Thinkst Canary console via
foxglove thinkst create. Honeytokens can be passed tofoxglove generate --honeytokensso the LLM weaves them into honeyfile content.
Workflow (two moments):
- Optional — mint honeytokens via
foxglove thinkst createand note their callback URLs/hostnames. - Generate honeyfiles via
foxglove generate ... [--honeytokens <urls>]. CLI validation → context ingestion → campaign planning (structured JSON via Pydantic) → content generation per honeyfile → file assembly to disk.
Supported honeyfile formats: PDF, Encrypted PDF (EPDF), DOCX, XLSX, PPTX, MD, CONF, JSON, XML.
Development Commands
# Install/sync dependencies
uv sync
# Generate honeyfiles
uv run python -m foxglove generate \
--base-dir /tmp \
--operation op_alpha \
--num-files 10 \
--formats pdf,docx,xlsx \
--teams it,infra \
--company "description of target company" \
--file-content "description of expected file content" \
[--honeytokens https://x.canary.tools/...,host.y.canarytokens.com]
# Manage honeytokens on a Thinkst Canary console
uv run python -m foxglove thinkst create \
--domain-hash <your-domain-hash> --kind dns --flock flock:default --memo "..."
uv run python -m foxglove thinkst list --domain-hash <your-domain-hash>
uv run python -m foxglove thinkst remove --domain-hash <your-domain-hash> <canarytoken-id>
# Run tests
uv run pytest
# Run a single test file
uv run pytest tests/test_generator.py
# Run a single test by name
uv run pytest -k "test_name"
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.
- 1mo ago First seen · 126 lines · 1,750 tokens per session scan A 638f99717e4c
foxglove CLAUDE.md is an instructions file published in the GitHub repository lopes/foxglove (2 stars, last pushed 20d ago), licensed MIT. It adds 1,750 tokens to every session, about $0.0070 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.
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).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.