langchain-chains

langchain-chains is a skill for Claude Code from a5c-ai/babysitter. It costs 20 tokens per session (369 once invoked), scanned A, original, MIT.

A guide to composing LangChain workflows, where LangChain is a library for connecting language-model steps and tools. It covers sequential, conditional, parallel, streaming, retry, and fallback arrangements.

In plain words
What is it for?
Use it to build dialogue flows, chatbots, conditional routing, parallel tasks, batched work, and workflows that stream results or retry failed steps.
Why use it?
It helps turn several model or tool calls into a defined workflow with mapped inputs and outputs. It also provides ways to handle failures and choose different paths for different inputs.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to build dialogue flows, chatbots, conditional routing, parallel tasks, batched work, and workflows that stream results or retry failed steps.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/a5c-ai/babysitter/langchain-chains
About the project

Babysitter is a workflow engine for AI coding agents that enforces predefined steps, quality checks, human approvals, and decision records. It is used to coordinate complex, repeatable agent workflows across supported coding tools. The catalogue contains skills, agents, instructions, settings, a plugin, and an MCP integration for its workflow.

a5c-ai/babysitter · 1,789 stars · on GitHub · a5c.ai

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add a5c-ai/babysitter --skill langchain-chains
Clone the repo
git clone --depth 1 https://github.com/a5c-ai/babysitter

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for langchain-chains

README.md
[![agentmods](https://agentmods.dev/badge/skills/a5c-ai/babysitter/langchain-chains/github.svg)](https://agentmods.dev/skills/a5c-ai/babysitter/langchain-chains)
Your own site
<a href="https://agentmods.dev/skills/a5c-ai/babysitter/langchain-chains"><img src="https://agentmods.dev/badge/skills/a5c-ai/babysitter/langchain-chains/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for langchain-chains

Your own site · 80×15
<a href="https://agentmods.dev/skills/a5c-ai/babysitter/langchain-chains"><img src="https://agentmods.dev/badge/skills/a5c-ai/babysitter/langchain-chains.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 369 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00020 $0.00369
Opus 5 $0.00010 $0.00185
Sonnet 5 $0.00004 $0.00074
Haiku 4.5 $0.00002 $0.00037

Measured 7d ago against content hash e71cfe149f87, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

langchain-chains scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

library/specializations/ai-agents-conversational/skills/langchain-chains/SKILL.md · 66 lines

What it actually says

LangChain Chains Skill

Capabilities

  • Compose LangChain chains using LCEL (LangChain Expression Language)
  • Implement sequential chain patterns
  • Design router chains for conditional logic
  • Create parallel execution chains
  • Handle chain fallbacks and retries
  • Implement streaming chains

Target Processes

  • dialogue-flow-design
  • chatbot-design-implementation

Implementation Details

Chain Patterns

  1. LCEL Pipelines: Modern composition with | operator
  2. SequentialChain: Linear chain execution (legacy)
  3. RouterChain: Conditional routing based on input
  4. RunnableParallel: Parallel execution branches
  5. RunnableBranch: Conditional branching

Configuration Options

  • Input/output key mapping
  • Error handling strategies
  • Retry configuration
  • Streaming settings
  • Batch processing options

Best Practices

  • Use LCEL for new implementations
  • Implement proper input/output schemas
  • Add fallback chains for resilience
  • Use streaming for long operations

Dependencies

  • langchain-core
  • langchain
Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 66 lines · 20 tokens per session scan A e71cfe149f87

Subscribe to this mod's changes

langchain-chains is a skill published in the GitHub repository a5c-ai/babysitter (1,789 stars, last pushed 7d ago), licensed MIT. It adds 20 tokens to every session and 369 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.