Skills langchain-architecture
📦

langchain-architecture

Content revision r2 Safe ⚙️ External commands

Design Reliable LangChain Applications

Complex LLM applications need clear patterns for agents, retrieval, memory, and monitoring. This skill provides practical LangChain architecture guidance and production checks.

Supports: Claude Codex Code(CC)
🥉 78 Bronze

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request
Review the Skillstore skill "langchain-architecture" from https://skillstore.io/skills/langchain-architecture.md and its manifest at https://skillstore.io/api/skills/langchain-architecture/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/langchain-architecture.md Signed manifest GET /api/skills/langchain-architecture/manifest Signed lockfile GET /api/skills/langchain-architecture/lockfile

Test it

Using "langchain-architecture". Choose memory for a support assistant with long conversations and limited context.

Expected outcome:

Use summarized history for older messages and a short recent-message window. Test summary accuracy, token growth, and sensitive-data retention.

Using "langchain-architecture". Review a retrieval application before production.

Expected outcome:

  • Validate chunk size and overlap against representative questions.
  • Measure retrieval relevance and answer grounding.
  • Return sources and monitor latency, tokens, failures, and costs.

Using "langchain-architecture". Plan safeguards for an agent that can search and send email.

Expected outcome:

Restrict tool inputs, require confirmation before sending, apply timeouts and rate limits, log decisions safely, and test failure paths.

Security Audit

Safe
v5 • 7/23/2026 Open versioned report

All 20 external-command findings are false positives caused by Markdown backticks and fenced Python examples. The reconnaissance finding is generic agent scope text, not network probing. No prompt injection or malicious intent was found.

1
Files scanned
359
Lines analyzed
0
Review items
0
False positives ignored

Risk Factors

⚙️ External commands (20)
SKILL.md:23 SKILL.md:89-114 SKILL.md:114-119 SKILL.md:119-147 SKILL.md:147-150 SKILL.md:150-175 SKILL.md:175-178 SKILL.md:178-210 SKILL.md:210-215 SKILL.md:215-235 SKILL.md:235-240 SKILL.md:240-261 SKILL.md:261-265 SKILL.md:265-288 SKILL.md:288-293 SKILL.md:293-298 SKILL.md:298-301 SKILL.md:301-314 SKILL.md:314-317 SKILL.md:317-321
No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.
Audited by: codex View Audit History →
Share & cite this report

Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.

Open versioned report
Security Assessment

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https://skillstore.io/skills/langchain-architecture/audits/5?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

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Academic citations (APA · BibTeX · CFF)

APA citation

sickn33. (2026). langchain-architecture security audit report (audit version 5) [Author version unspecified]. Skillstore. https://skillstore.io/skills/langchain-architecture/audits/5

BibTeX citation

@techreport{sickn33-langchain-architecture-2026, author = {sickn33}, title = {langchain-architecture security audit report (audit version 5)}, institution = {Skillstore}, year = {2026}, number = {5}, url = {https://skillstore.io/skills/langchain-architecture/audits/5}, note = {Author version unspecified} }

CITATION.cff

cff-version: 1.2.0 message: "If you use this Skill, cite its author and this versioned security audit report." title: "langchain-architecture security audit report (audit version 5)" version: "unspecified" type: report authors: - name: "sickn33" date-released: "2026-07-23" url: "https://skillstore.io/skills/langchain-architecture/audits/5" identifiers: - type: other value: "skillstore:langchain-architecture:audit:5" description: "Skillstore immutable audit report identifier"

Compare variants

3 installable variants

Each author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.

Why this variant is first

Highest Skillstore Score
sickn33 Recommended

sickn33-langchain-architecture

Skillstore Score 79
Evidence Confidence High
Skillstore usage 11
Updated

2026-08-21

wshobson

wshobson-langchain-architecture

Skillstore Score 78
Evidence Confidence High
Skillstore usage 18
Updated

2026-08-21

sickn33 Current

langchain-architecture

Skillstore Score 78
Evidence Confidence High
Skillstore usage 10
Updated

2026-08-21

Skillstore Score

Why this score Evidence Confidence: High
55
Architecture
85
Maintainability
87
Content
69
Community
83
Spec Compliance

What You Can Build

Plan a retrieval application

Define document loading, chunking, embeddings, storage, retrieval, and source-return requirements.

Review an agent design

Assess tool descriptions, memory selection, error handling, timeouts, validation, and observability.

Prepare production safeguards

Create a checklist for testing, token monitoring, rate limits, fallbacks, prompt versions, and callbacks.

Try These Prompts

Choose core components 
Recommend LangChain components for [application], considering inputs, outputs, data sources, conversation length, and deployment constraints.
Design a retrieval flow 
Design a LangChain retrieval workflow for [documents] and [queries], including chunking, embeddings, storage, retrieval, citations, and evaluation.
Review an agent 
Review this LangChain agent design: [design]. Identify tool, memory, validation, timeout, error-handling, logging, and testing gaps.
Create a production architecture 
Produce a production LangChain architecture for [requirements], covering orchestration, retrieval, state, observability, scaling, security boundaries, failure recovery, and verification.

Best Practices

  • Clarify inputs, tools, permissions, state, constraints, and success measures before selecting components.
  • Validate retrieval, prompts, tool calls, and memory behavior with representative tests.
  • Add timeouts, rate limits, safe logging, error handling, monitoring, and fallback paths before production.

Avoid

  • Do not give agents broad tool access without validation and permission boundaries.
  • Do not retain unlimited conversation history or sensitive data without a retention policy.
  • Do not deploy examples unchanged without checking current LangChain APIs and environment requirements.

Frequently Asked Questions

Which LangChain topics does this skill cover?
It covers agents, chains, memory, retrieval, document processing, callbacks, testing, performance, and production checks.
Does this skill install LangChain or run code?
No. It provides architecture guidance and Python examples for adaptation in your environment.
Are the examples compatible with current LangChain releases?
Some examples use older interfaces. Confirm imports and migration guidance against your installed version.
Can it help select a memory strategy?
Yes. It compares buffer, summary, window, entity, and vector retrieval memory patterns.
Does it include production security controls?
It identifies validation, timeouts, rate limits, logging, testing, and permission boundaries, but implementation remains environment-specific.
Are the referenced supporting files included?
No. The audited package contains only SKILL.md, so listed resources and assets are unavailable.

Developer Details

Author

sickn33

License

MIT

Skillstore revision

r2

Version notice

The author did not declare a version.

Repository

https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/langchain-architecture

Ref

ebdfe608f5de2b66ff37ab4af12af8ac4f5e8006

Maintenance freshness

7/25/2026

Usage

7 downloads · 121 views

File structure

📄 SKILL.md

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