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 agentmods add skills/yonatangross/orchestkit/langgraphnpx skills add yonatangross/orchestkit --skill langgraphgit clone --depth 1 https://github.com/yonatangross/orchestkitWrote 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/yonatangross/orchestkit/langgraph)<a href="https://agentmods.dev/skills/yonatangross/orchestkit/langgraph"><img src="https://agentmods.dev/badge/skills/yonatangross/orchestkit/langgraph.svg" alt="Measured on agentmods" 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 | $0.00080 | $0.04129 |
| Opus 5 | $0.00040 | $0.02065 |
| Sonnet 5 | $0.00016 | $0.00826 |
| Haiku 4.5 | $0.00008 | $0.00413 |
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.
How it starts
The opening of the file, as written. The whole thing — 351 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LangGraph Workflow Patterns
Comprehensive patterns for building production LangGraph workflows. LangGraph 1.x is LTS (Long Term Support) — the first stable major release, powering agents at Uber, LinkedIn, and Klarna. Each category has individual rule files in rules/ loaded on-demand.
LangGraph 1.2 (shipped 2026-05-12) — the fault-tolerance release. Everything below is on
StateGraph.add_node(...)unless noted:
- Per-node timeouts —
timeout=acceptsfloat | timedelta | TimeoutPolicy.TimeoutPolicy(run_timeout=, idle_timeout=, refresh_on="auto"|"heartbeat")separates a hard wall-clock cap from an idle cap that progress refreshes. On expiry LangGraph raisesNodeTimeoutError(carryingkind="idle"|"run"andelapsed), drops that attempt's writes, and defers to the retry policy. Cooperative: it rides asyncio cancellation, so a node blocking the GIL is not interrupted. Seerules/resilience-node-timeouts.md.- Node error handlers —
error_handler=registers a recovery node that runs once the retry budget is exhausted. It receives failure context by declaring a parameter typedNodeError(fieldsnode,error) and returns aCommandto update state and reroute. Seerules/resilience-error-handlers.md.RunControl(langgraph.runtime) — cooperative graceful shutdown.request_drain(reason)from any thread; nodes pollruntime.drain_requestedand stop at a checkpoint boundary, leaving a resumable thread instead of a half-applied superstep. Seerules/resilience-graceful-drain.md.DeltaChannel(langgraph.channels.delta, beta) — checkpoints store only incremental writes and replay them through a batch reducer, with a snapshot everysnapshot_frequencyupdates. Fixes checkpoint cost growing with thread length. Its reducer takes a batch and must be batching-invariant. Seerules/state-delta-channel.md.runtime.heartbeat()— explicit progress signal, the only one that refreshes an idle timeout underrefresh_on="heartbeat".Landed earlier, in 1.1 — not 1.2 (they are current and supported; only their release attribution was wrong in prior versions of this skill): deferred nodes (
defer=True), node-level caching (CachePolicy+graph.compile(cache=...)), and model middleware (before_model/after_model) oncreate_agent.
What ships with it
45 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.
- metadata.json 657 B
- rules/_sections.md 5.2 KB
- rules/_template.md 339 B
- rules/checkpoints-recovery.md 2.1 KB
- rules/checkpoints-setup.md 1.6 KB
- rules/checkpoints-store.md 3.1 KB
- rules/functional-entrypoint.md 2.1 KB
- rules/functional-migration.md 3.4 KB
- rules/functional-task.md 1.9 KB
- rules/human-in-loop-approval.md 1.9 KB
- rules/human-in-loop-feedback.md 2.2 KB
- rules/human-in-loop-interrupt.md 2.1 KB
- rules/parallel-error-isolation.md 1.9 KB
- rules/parallel-fanout-fanin.md 2.1 KB
- rules/parallel-map-reduce.md 1.9 KB
- rules/platform-deployment.md 3.3 KB
- rules/platform-double-texting.md 3.8 KB
- rules/platform-remote-graph.md 3.0 KB
- rules/resilience-error-handlers.md 3.1 KB
- rules/resilience-graceful-drain.md 2.9 KB
- rules/resilience-node-timeouts.md 3.4 KB
- rules/routing-conditional.md 1.8 KB
- rules/routing-cross-graph.md 3.9 KB
- rules/routing-retry-loops.md 2.7 KB
- rules/routing-semantic.md 2.5 KB
- rules/state-delta-channel.md 3.5 KB
- rules/state-messages.md 1.6 KB
- rules/state-pydantic.md 1.6 KB
- rules/state-reducers.md 2.2 KB
- rules/state-typeddict.md 2.3 KB
- rules/streaming-custom-events.md 2.2 KB
- rules/streaming-modes.md 1.9 KB
- rules/streaming-tokens.md 1.7 KB
- rules/streaming-v2-format.md 2.5 KB
- rules/subgraphs-add-as-node.md 1.9 KB
- rules/subgraphs-invoke.md 2.0 KB
- rules/subgraphs-state-mapping.md 2.3 KB
- rules/supervisor-basic.md 2.3 KB
- rules/supervisor-priority.md 2.3 KB
- rules/supervisor-round-robin.md 1.9 KB
- rules/tools-bind.md 1.9 KB
- rules/tools-dynamic.md 1.8 KB
- rules/tools-interrupts.md 2.4 KB
- rules/tools-toolnode.md 1.8 KB
- test-cases.json 22 KB
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 · 351 lines · 80 tokens per session scan A 2a4dc1378c68
langgraph is a skill published in the GitHub repository yonatangross/orchestkit (225 stars, last pushed yesterday), licensed MIT. It adds 80 tokens to every session and 4,129 once invoked, about $0.0004 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 2026-09-03.
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