Geiger – See every AI agent on your machine and what it can touch Geiger, a new open-source command-line tool, lets users inventory every AI agent, MCP server, plugin, and AI extension on their machine with a single read-only command, reporting what each can access. The tool, run via `npx geiger-scan`, scans configs and directories across ecosystems like Claude Code, VS Code, and browser extensions, flagging capabilities such as code execution, secret holding, and broad filesystem access, while ensuring no telemetry and redacting credential values. It was created in response to the rapid growth of AI agent harnesses, including one that gained 200,000+ GitHub stars in three weeks in August 2026. A Geiger counter for AI agents. One read-only command that inventories every AI agent, harness, MCP server, plugin, and AI extension on a machine — and tells you, in plain language, what each one can touch. npx geiger-scan No install. No account. No telemetry. Reads configs and directories, writes nothing unless you ask for --json yourfile.json . In August 2026, an open-source agent harness went from zero to 200,000+ GitHub stars in three weeks. Its plugin ecosystem passed 13,000 repositories in the same window. One-click desktop clients appeared the same day it launched. Instagram carousels now teach office workers to install all of it. Every one of those installs is a program that can execute commands, read files, and hold credentials — configured in dotfiles nobody looks at twice. Ask yourself the question this tool answers: what is actually running on this machine, and what can it reach? Most people cannot answer it. Now it's one command. GEIGER · a Geiger counter for AI agents machine dev-laptop · 2026-09-06 12:24 UTC · read-only · no telemetry ────────────────────────────────────────────────────────────── 9 findings across 3 ecosystems · 7 can execute code · 1 credential in config files claude-code 6 Claude Code agent EXECUTES BROAD-FILESYSTEM NETWORK origin: registry · @anthropic-ai/claude-code magic Claude Code · global MCP server EXECUTES HOLDS-SECRETS BROAD-FILESYSTEM origin: registry · @21st-dev/magic@latest credential: "API KEY" — opaque value under a credential-named key · ~/.claude.json note: wrapped by a policy agent domainguard-agent.exe — enforcement layer in front of the server hooks: UserPromptSubmit, PreToolUse hook EXECUTES note: hooks execute without a prompt each time their event fires ... Real output from a real machine values redacted — see below . | Ecosystem | What geiger reads | |---|---| | Claude Code | global + per-project MCP servers, hooks, plugins, skills, subagents, apiKeyHelper | | MCP hosts | Claude Desktop, Cursor, Windsurf, VS Code user + project , Cline, Roo Code, Continue, Zed | | Other agents | Codex CLI, Gemini CLI, Aider, OpenCode, Qwen Code, DeepSeek Harness, Continue, GitHub Copilot CLI, Goose, Open Interpreter, LM Studio, Ollama | | Editor extensions | AI extensions in VS Code / Insiders / Cursor | | Global CLIs | agent packages in global npm roots read directly — npm is never executed | | Browser extensions | AI extensions in Chrome / Edge / Brave profiles, with their manifest permissions | Every finding gets: what it is, where it came from registry, store, git, local script, remote server — or UNKNOWN-ORIGIN , what it can do EXECUTES , HOLDS-SECRETS , BROAD-FILESYSTEM , BROAD-WEB , NETWORK , and the evidence path so you can verify by hand. Geiger also recognizes policy wrappers agents that put an enforcement layer in front of MCP servers and reports both layers instead of hiding the real server behind the wrapper. 1. Read-only. The only write geiger ever performs is the --json file you explicitly name. 2. No telemetry. Nothing leaves your machine. There is no endpoint to send anything to. This also means we have no idea how many people use this — a trade we're happy with. 3. Secrets by shape only. When a credential-shaped value is found in a config, geiger reports the key name, the file, and what kind of secret it looks like — never any part of the value. A redaction pass runs on all output as defense-in-depth, and the test suite enforces it. npx geiger-scan scan, print the report npx geiger-scan --html report.html self-contained HTML report with per-finding "what to do" remediation guidance npx geiger-scan --json out.json machine-readable findings schemaVersion 1 npx geiger-scan --path D:\repo1 --path E:\repo2 also scan these project directories for project-level agent and MCP configs npx geiger-scan --home C:\Users\other scan a different home root another user profile, a mounted image npx geiger-scan --strict exit 2 if anything can execute code or holds secrets npx geiger-scan --diff baseline.json compare against an earlier --json snapshot: what appeared, disappeared, or escalated since then Drift alarm: once you've reviewed a machine, save a baseline --json baseline.json and put geiger-scan --strict --diff baseline.json in cron or CI. It exits 2 only when something new can execute code or hold secrets — the standing, already-reviewed inventory stays quiet. Same mental model as a lockfile: accept what's there, alarm on change. No npm? npx github:Atomburstofficial/geiger runs straight from the repo. Before running anything, see exactly what you'd get: a sample HTML report /Atomburstofficial/geiger/blob/main/docs/sample-report.html and a sample JSON output /Atomburstofficial/geiger/blob/main/docs/sample-report.json live in this repo, generated from the test fixture — synthetic data, generic paths, credentials shown by shape only as always . The HTML report: Every finding that warrants action carries plain-language remediation — as fix: lines in the terminal and "What to do" blocks in the HTML report. Fleet pattern MSPs, IT : run with --json per machine on a schedule an RMM task or login script writing %COMPUTERNAME%.json to a share , keep each machine's baseline, and let --diff report per-machine drift. The schema is versioned and stable. Geiger never phones home — the JSON files travel only where you put them. Stated up front, because a scanner you overtrust is worse than no scanner: - Geiger reads known config locations . Agents installed in nonstandard paths, other user accounts, containers, or WSL from the Windows side are not seen. - It reads configuration, not runtime behavior . It cannot tell you what a plugin actually did — only what its position allows. - It cannot judge whether a package is malicious — only where it came from and what it can reach. Origin ≠ trustworthiness. - Partially-parseable formats TOML configs are scanned by shape and flagged with reduced confidence rather than skipped. - The ecosystem this tool audits changes weekly. Detectors are data-driven and small on purpose — see CONTRIBUTING.md /Atomburstofficial/geiger/blob/main/CONTRIBUTING.md to add one. Is this a security audit? No. It's an inventory with honest exposure labels — the thing you need before any audit means anything. Why should I trust a security company's free scanner? Read it. It's a few hundred lines of dependency-free JavaScript, and what's published is what runs — releases are published from GitHub Actions with npm provenance https://docs.npmjs.com/generating-provenance-statements , so the npm page carries a signed link to the exact public commit each version was built from. What do I do about what it finds? Individually: remove what you don't recognize, rotate credentials that shouldn't be sitting in configs. At a company: that's policy enforcement, which is a different product — DomainGuard https://atomburst.io/domainguard is how organizations put a policy layer in front of this surface. Geiger stays free and standalone either way. MIT /Atomburstofficial/geiger/blob/main/LICENSE · built by Atomburst https://atomburst.io/geiger?utm source=github&utm medium=readme · zero runtime dependencies, no build step — the source you read is the code that runs.