LangBot is an open-source platform for connecting language models to instant-messaging services so developers can build chatbots that converse, use tools, and execute tasks. It supports bot management, knowledge bases, plugins, and multiple chat platforms, and the catalogue entries provide skills, MCP tools, and instructions for working with it.
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 skills add langbot-app/LangBot --skill langbot-space-opsgit clone --depth 1 https://github.com/langbot-app/LangBotWrote 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/skills/langbot-app/langbot/langbot-space-ops)<a href="https://agentmods.dev/skills/langbot-app/langbot/langbot-space-ops"><img src="https://agentmods.dev/badge/skills/langbot-app/langbot/langbot-space-ops/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/skills/langbot-app/langbot/langbot-space-ops"><img src="https://agentmods.dev/badge/skills/langbot-app/langbot/langbot-space-ops.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 3 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 23 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 24 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00101 | $0.01223 |
| Opus 5.5 | $0.00040 | $0.00489 |
| Sonnet 5.5 | $0.00020 | $0.00245 |
| Haiku 4.5 | $0.00010 | $0.00122 |
Grade A, and why
langbot-space-ops 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LangBot Space MCP Operations
LangBot Space (space.langbot.app) exposes an MCP server so user-facing AI agents can browse and search the marketplaces (plugins, MCP servers, skills) and rank live models for automated setup.
Endpoint
https://space.langbot.app/mcp
Transport: streamable HTTP (stateless, JSON responses). For a self-hosted
Space instance: http://<host>:8383/mcp.
Authentication
Reuses the existing Personal Access Token (PAT) — the same token the lbp
CLI uses. Create one in your Space account (Profile → Personal Access Tokens),
then send it as a Bearer token:
Authorization: Bearer <your-pat>
Requests without a valid PAT get 401 Unauthorized.
Client configuration
{
"mcpServers": {
"langbot-space": {
"url": "https://space.langbot.app/mcp",
"headers": { "Authorization": "Bearer <your-pat>" }
}
}
}
Tool surface
| Tool | Purpose |
|---|---|
list_plugins / search_plugins / get_plugin |
Plugin marketplace |
list_mcp_servers / search_mcp_servers / get_mcp_server |
MCP-server marketplace |
list_skills / search_skills / get_skill |
Skill marketplace |
select_models |
Live best-first model list for setup wizards; optional category filter |
list_* and search_* are paged (page, page_size). get_* takes
author + name. The tool surface mirrors the REST endpoints under
/api/v1/marketplace/*; select_models mirrors /api/v1/models/selection.
All tools are read-only.
How to use
- Create a PAT in your Space account settings.
- Point your MCP client at
https://space.langbot.app/mcpwith the Bearer PAT. - Use
search_plugins/search_mcp_servers/search_skillsto find items, thenget_*for details (e.g. to obtain author/name for installation in LangBot itself). - For automatic local-agent setup, call
select_models(optionally withcategory) and choose the first compatible item. Ordering is latest probe state (available, unprobed, unavailable), then Space recommendation. Each item includesavailability.up,last_probed_at, latency, and HTTP status.
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 Changed · +33 lines 526adbe469f3
- 1mo ago First seen · 87 lines · 101 tokens per session scan A ad43de937cac
langbot-space-ops is a skill published in the GitHub repository langbot-app/LangBot (18,191 stars, last pushed today), licensed Apache-2.0. It adds 101 tokens to every session and 1,223 once invoked, about $0.0004 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 2026-08-30.
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