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.
npx skills add ashish7802/awesome-api-skills --skill langgraphgit clone --depth 1 https://github.com/ashish7802/awesome-api-skillsWrote 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.
[](https://agentmods.dev/skills/ashish7802/awesome-api-skills/langgraph)<a href="https://agentmods.dev/skills/ashish7802/awesome-api-skills/langgraph"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/langgraph/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.
<a href="https://agentmods.dev/skills/ashish7802/awesome-api-skills/langgraph"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/langgraph.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00355 |
| Opus 5.5 | $0.00000 | $0.00142 |
| Sonnet 5.5 | $0.00000 | $0.00071 |
| Haiku 4.5 | $0.00000 | $0.00036 |
Grade A, and why
langgraph 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 yesterday.
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.
What it actually says
LangGraph Agent Orchestration Skill
Overview
LangGraph models agent workflows as stateful graphs with nodes, directed edges, conditional routing, and persistent checkpointers for reliable cyclic reasoning and human-in-the-loop interrupts.
Installation
npm install @langchain/langgraph @langchain/core @langchain/openai
pip install langgraph langchain-openai
Core Concepts
StateGraph: Defines shared state channels and reducers across nodes.- Nodes: Async functions taking
(state, config)and returning a partial state update. - Conditional Edges: Dynamic routing functions (
addConditionalEdges) deciding the next node orEND. - Checkpointers: Persist graph state at every super-step for time-travel and thread resumption.
AI Pitfalls
- Direct State Mutation: Never mutate
state.messages.push(...)directly. Return{ messages: [newMessage] }so themessagesStateReducerappends cleanly. - Missing
thread_id: When a graph is compiled with{ checkpointer }, every.invoke()or.stream()call must pass{ configurable: { thread_id: "..." } }. - Infinite Loops: Always enforce a
recursionLimitin config and ensure conditional edges have a guaranteed path toEND.
Production Checklist
- State channels use explicit reducer annotations (
Annotation.Rootin TS /add_messagesin Python) - Every cyclic path has a conditional exit to
END - Checkpointer backed by durable storage (
PostgresSaver) in production
Last Verified: 2026-10-21
What ships with it
2 files 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.
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.
- yesterday First seen · 30 lines · 0 tokens per session scan A 286ae0d3f602
langgraph is a skill published in the GitHub repository ashish7802/awesome-api-skills (13 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 355 tokens. 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 2026-10-22.
Other skills, from other repositories
switch
Switch current session to codex. UltraContext keeps your original context.
iii-sandbox
Ephemeral microVM sandboxes for running untrusted or agent-generated code in isolation — a one-call run path, a create/exec/stop lifecycle, and a set of filesystem operations.
iii-error-handling
Handle iii engine and SDK errors across Node, Python, Rust, and browser workers. Use when interpreting error codes, retryability, RBAC denial, timeouts, handler failures, or SDK-specific exception surfaces.
composio
Build AI agents and apps with Composio - access 200+ external tools with Tool Router or direct execution.
heygen-cli
Create AI videos, manage avatars, translate videos, and download results via the HeyGen API. Use when an agent needs to generate videos from text prompts, create avatar-based videos, translate existing videos, or automate video production workflows.
claude-api-cost-optimization
Save 50-90% on Claude API costs with Batch API, Prompt Caching & Extended Thinking. Official techniques, verified.