Langgraph DocsSAFE
The batteries-included agent harness.
Overview
The batteries-included agent harness.
bfb76fcbc8ddOBSERVED · 2026-10-22What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: langgraph-docs description: Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or needs LangGraph implementation guidance. --- # langgraph-docs ## Workflow ### 1. Fetch the Documentation Index Use `fetch_url` to read: https://docs.langchain.com/llms.txt This returns a structured list of all available documentation with descriptions. ### 2. Select Relevant Documentation Identify 2-4 most relevant URLs from the index. Prioritize: - **Implementation questions** — specific how-to guides - **Conceptual questions** — core concept pages - **End-to-end examples** — tutorials - **API details** — reference docs ### 3. Fetch and Apply Use `fetch_url` on the selected URLs, then complete the user's request using the documentation content. If `fetch_url` fails or returns empty content, retry once. If it fails again, inform the user and suggest checking https://langchain-ai.github.io/langgraph/ directly.
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
bfb76fcbc8ddfull audit observations/trust-audit/skill/langchain-ai__langgraph-docs.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-22 | bfb76fcbc8dd | SAFE | B | 89 | first audit |
Questions
What does the langgraph-docs — langchain-ai/deepagents skill do?
The batteries-included agent harness.
Is langgraph-docs — langchain-ai/deepagents safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can langgraph-docs — langchain-ai/deepagents access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (bfb76fcbc8dd), read on 2026-10-22. The repository is watched, and a new audit runs when it changes — this is the first audit.
Add this badge to your README
Shows this page's audit result and links back to it. It updates when the audit does.
[](https://modelsatlas.com/skills/langchain-ai/langgraph-docs/)
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