Score breakdown0 Version history1 Source
Category Weight Category score Contribution
Security prompt, exec, net, exfil, eval
35%
100
35.0 pts
Supply chain hash, typosquat, maintainer, lockfile
20%
100
20.0 pts
Maintenance staleness, pinning, CI
15%
100
15.0 pts
Transparency SKILL.md, perms, README
15%
100
15.0 pts
Community installs, verify, response
15%
100
15.0 pts
Findings & checks · 0 flagged
Security score 100 · 0 findings
✓ — All security checks passedNo findings in this category for the latest scan. pass
Supply chain score 100 · 0 findings
✓ — All supply chain checks passedNo findings in this category for the latest scan. pass
Maintenance score 100 · 0 findings
✓ — All maintenance checks passedNo findings in this category for the latest scan. pass
Transparency score 100 · 0 findings
✓ — All transparency checks passedNo findings in this category for the latest scan. pass
Community score 100 · 0 findings
✓ — All community checks passedNo findings in this category for the latest scan. pass
Every scanned point with the score it earned and what moved between them.
1 scans · 90 days d97a2e4 latest
Jun 23, 2026 100 d97a2e4
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
library/specializations/ai-agents-conversational/skills/langchain-tools/SKILL.md · 1 file library/specializations/ai-agents-conversational/skills/langchain-tools/SKILL.md 1.2 KB · Markdown Rendered Raw ⧉ Copy
name : langchain-tools
description : LangChain tool creation and integration utilities for agent systems
allowed-tools :
- Read
- Write
- Edit
- Bash
- Glob
- Grep
Capabilities Create custom LangChain tools with proper schemas Integrate existing tools and APIs Design tool descriptions for optimal LLM understanding Implement structured tool inputs with Pydantic Handle tool errors and fallbacks Create tool chains and pipelines Target Processes custom-tool-development function-calling-agent Implementation Details @tool decorator : Simple function-based toolsStructuredTool : Tools with complex input schemasBaseTool subclass : Full control over tool behaviorTool from functions : Dynamic tool creationConfiguration Options Tool name and description Input schema (args_schema) Return type specification Error handling strategy Async/sync execution modes Best Practices Clear, action-oriented descriptions Explicit input parameter documentation Proper error messages for LLM understanding Idempotent operations where possible Dependencies