Skill audit report
Guides building LLM applications with LangChain's chain/agent abstractions and, for stateful multi-step agents, LangGraph's graph-based orchestration (nodes, edges, cycles, checkpointed persistence, human-in-the-loop interrupts). Use when a user asks to "build this with LangChain," "use LangGraph for a stateful agent," "add persistence/checkpointing to a LangChain agent," "add a human approval step in a LangGraph graph," "my LangChain agent loses state between turns," or is deciding between LangChain's `AgentExecutor`, a LangGraph graph, and a hand-rolled control loop.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
38 GitHub stars
Stars/forks activity
WARN48
38 stars, 18 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN56
command execution surface, network or browser surface
Install availability
PASS92
npx skills add selvarajmurugesan90/ops-engineering-skills --skill langchain-and-langgraph-agent-orchestration
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN50
shell or command execution, network or browser access
Repository evidence
PASS86
https://github.com/selvarajmurugesan90/ops-engineering-skills/tree/main/plugins/ai-agent/skills/langchain-and-langgraph-agent-orchestration
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add selvarajmurugesan90/ops-engineering-skills --skill langchain-and-langgraph-agent-orchestration
Repository
88
https://github.com/selvarajmurugesan90/ops-engineering-skills/tree/main/plugins/ai-agent/skills/langchain-and-langgraph-agent-orchestration
License
86
Apache-2.0
Maintenance
88
2mo since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Warnings
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
Compare nearby options
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
179K Stars · Audit report
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
92K Stars · Audit report
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
179K Stars · Audit report
Usable description available
Dependency risk
56
command execution surface, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
50
shell or command execution, network or browser access
Stars/forks activity
48
38 stars, 18 forks; issue activity unavailable in current metadata
Adoption
42
38 GitHub stars
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Shell or command execution
highSkill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Database access
mediumSkill may inspect schemas, query databases, or work with persistent stores.