langchain
2 findings (1 high, 1 info), mainly policy violation, command injection. Most recent scan 2026-05-09.
Second scanner: NVIDIA SkillSpector
The two scanners disagree: Cisco rates this HIGH and SkillSpector found nothing. Check the false-positive register; signature matches on documentation are the usual cause. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Build LLM applications with LangChain and LangGraph. Use when creating RAG pipelines, agent workflows, chains, or complex LLM orchestration. Triggers on LangChain, LangGraph, LCEL, RAG, retrieval, agent chain.
- Package
- 1 file, 4.8 KB
- SKILL.md
- 461 words, 12+ sections
- Code
- None. Instructions only.
SKILL.md covers: LangChain & LangGraph · Quick Start · Simple chain · LCEL (LangChain Expression Language) · Chain with parsing · RAG Pipeline · Create vector store · RAG prompt · RAG chain · LangGraph Agent · Define state · Define tools
Findings
HIGH Python code block uses eval/exec Command Injectionbehavioral
Code block in SKILL.md at line 95 contains potentially dangerous Python code.
SKILL.md:95
return str(eval(expression))INFO Skill does not specify a license Policy Violationstatic
Skill manifest does not include a 'license' field. Specifying a license helps users understand usage terms.
SKILL.md
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 4.8 KB |
External hosts referenced
smith.langchain.com github.com langchain-ai.github.io python.langchain.com
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Package contents recorded 2026-10-22 at commit f7a43d8f8525. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Bytecode analyzer.
- Pipeline analyzer.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://github.com/hoodini/ai-agents-skills
- Raw scan result: skills-langchain-scan.json
- Badge for your README:
- Request a re-scan