Agent skill · Audited from source

langchain-python-quickstart

skill · langchain-ai/langchain-skillsMIT licenceAudited 29 Oct 2026 · source a78b2e2257e3

★ 1,316pushed 3 days ago
!CAUTIONGrade B · 89/100 · 3 findings · a78b2e2
1,316repo stars · whole langchain-ai/langchain-skills

Is it safe? With care — CAUTION, grade B (89/100). We read this skill's source at commit a78b2e2257e3 and found no filesystem, network or shell access and no hard-coded secrets. The audit raised 3 findings, 0 critical or high. What it does: Scaffold a minimal local LangChain agent in Python by following the official quickstart. Use when the user wants to quickly build or try a LangChain agent locally.

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Cite this page

ModelsAtlas. “langchain-python-quickstart (langchain-ai/langchain-skills)”. Retrieved 29 Oct 2026. https://modelsatlas.com/skills/langchain-ai/langchain-python-quickstart

Trust audit

Audit 0.4.1 · source read 29 Oct 2026

Trust score89/100!CAUTION B
0 critical0 high2 medium1 low0 info

CAUTION means the audit found things worth knowing before you trust this skill. Grade B is shared by 13,985 of 14,816 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesWARN3
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (3)

MEDIUMPrompt injectionreview.data_transfer · SKILL.md
F-01 Prompt injectionCWE-94 · CWE-1427Layer L2
Fetch that page (Docs MCP or HTTP) and implement what it shows
Why
The package directs the agent to fetch and integrate an external, potentially untrusted webpage into the local project.
Fix
rewrite it so the instruction says plainly what it does, and asks the user before it acts
MEDIUMPrompt injectionreview.instruction_override · SKILL.md
F-01 Prompt injectionCWE-94 · CWE-1427Layer L2
Follow the live docs — do not invent an alternate API from memory:
Why
The package instructs the agent to disregard its existing knowledge and strictly follow external live documentation.
Fix
rewrite it so the instruction says plainly what it does, and asks the user before it acts
LOWPrompt injectionreview.misleading_scope · SKILL.md
F-01 Prompt injectionCWE-94 · CWE-1427Layer L2
no LangSmith / Tavily unless they ask
Why
The package explicitly instructs the agent to avoid or restrict the use of certain services, deviating from typical default integrations.
Fix
rewrite it so the instruction says plainly what it does, and asks the user before it acts

Audit 0.4.1 · source sha a78b2e2257e3 · 29 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publisherlangchain-ai GitHub organizationOwner of the repository this skill is read from
  • Source folderlangchain-ai/langchain-skills/config/skills/langchain-python-quickstartThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdicta78b2e2257e3A new audit runs when the source changes
  • Repository statusNot archivedLast push 3 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Scaffold a minimal local LangChain agent in Python by following the official quickstart. Use when the user wants to quickly build or try a LangChain agent locally.

---
name: langchain-python-quickstart
description: "Scaffold a minimal local LangChain agent in Python by following the official quickstart. Use when the user wants to quickly build or try a LangChain agent locally."
---

# LangChain Python quickstart

Follow the live docs — do not invent an alternate API from memory:

**https://docs.langchain.com/oss/python/langchain/quickstart**

Fetch that page (Docs MCP or HTTP) and implement what it shows (weather agent + `create_agent`).

## Local setup constraints

Apply these on top of the quickstart (they keep setup minimal and model-agnostic):

1. **Ask** which provider/model to use. Showcase that LangChain is model-agnostic. Suggested prompt:

   > Which model should this agent use? Pass a `provider:model` string — e.g. `openai:gpt-5.5`, `anthropic:claude-sonnet-5`, `google_genai:gemini-2.5-flash-lite`. Default if you're unsure: **`anthropic:claude-sonnet-5`**.

   Swap the quickstart's model string for their choice (or the default).

2. Create a **new** directory (e.g. `langchain-agent/`) and do all work there — do not pollute the open project.

3. Only secret: the provider API key in `.env` (gitignored). No LangSmith / Tavily unless they ask. Prefer they edit `.env` themselves — don't paste keys into chat.

4. Install the provider package needed for their model if the quickstart's base install isn't enough.

5. Run the example, show output, then stop. Point to `langchain-fundamentals` for next steps.

Excerpt, first 1,470 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit a78b2e2

Download folder ↗
git clone https://github.com/langchain-ai/langchain-skills
git -C langchain-skills checkout a78b2e2257e3

The author documents no install command, so this uses the repository directly. Our verdict covers commit a78b2e2257e3 only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. !CAUTION B 89 / 100

    first audit · source a78b2e2257e3

README badge

For maintainers · shows the latest audit

ModelsAtlas: CAUTION BMODELSATLASCAUTION · B
[![ModelsAtlas: CAUTION B](https://modelsatlas.com/skills/langchain-ai/langchain-python-quickstart/badge.svg)](https://modelsatlas.com/skills/langchain-ai/langchain-python-quickstart/)

The badge shows our verdict and grade for this skill, and links back to this page. It changes when the audit does.

Add this badge to your README

[![ModelsAtlas: CAUTION B](https://modelsatlas.com/skills/langchain-ai/langchain-python-quickstart/badge.svg)](https://modelsatlas.com/skills/langchain-ai/langchain-python-quickstart/)

Questions about langchain-python-quickstart

Is langchain-python-quickstart safe to install?
With care. The audit graded it B (89/100) and found 3 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can langchain-python-quickstart 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 (a78b2e2257e3), read on 2026-10-29. The repository is watched, and a new audit runs when it changes — this is the first audit.

Sources

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Keep going in your AI

Opens with this page as the source. We add nothing else to the prompt.