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 skills/langbot-app/langbot/langbot-env-setupnpx skills add langbot-app/LangBot --skill langbot-env-setupgit clone --depth 1 https://github.com/langbot-app/LangBotWhat 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 | $0.00067 | $0.00427 |
| Opus 5 | $0.00034 | $0.00214 |
| Sonnet 5 | $0.00013 | $0.00085 |
| Haiku 4.5 | $0.00007 | $0.00043 |
Grade A, and why
langbot-env-setup 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.
What it actually says
LangBot Environment Setup
Use this skill when a task needs LangBot to be in a testable state before product testing or development verification.
Routing
- Shared local variables: read
../.envbefore using URL, path, browser profile, or proxy defaults. - Always start here: read
references/browser-access-selection.mdto choose the browser-control path. - LangBot service checks and startup: read
references/service-startup.md. - Computer Use available: read
references/computer-use.md. This path usually needs less browser/MCP setup. - No Computer Use, browser automation required: read
references/playwright-mcp.md. - GitHub OAuth or persisted login profile: read
references/oauth-browser-profile.md. - WSL-specific notes: read
references/wsl-notes.mdonly when running under WSL. - Proxy setup: read
references/proxy.mdwhen external login, model provider tests, or package downloads time out. - Headless-only automation: use only after a profile already contains a valid LangBot login. Do not ask the agent to enter GitHub credentials or 2FA.
Rules
- Never handle the user's GitHub password, passkey, recovery code, or 2FA secret.
- For OAuth login, open a visible browser and let the user complete the credential steps.
- Reuse a fixed browser profile path so the agent can later access the logged-in LangBot session.
- Keep environment-specific paths and commands in
references/, not in this file. - Treat environment setup as complete only after the target LangBot services are reachable and the browser profile can access the WebUI.
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 29 lines · 67 tokens per session scan A 1abaabc72ef5
langbot-env-setup is a skill published in the GitHub repository langbot-app/LangBot (17,616 stars, last pushed 3d ago), licensed Apache-2.0. It adds 67 tokens to every session and 427 once invoked, about $0.0003 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 2026-08-30.
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