Pause and resume a graph with explicit approval state and replay-aware side effects.
Editorial note checked 2026-10-29 against this instruction snapshot. Supporting scripts and runtime behavior remain outside this editorial review.
The source covers interrupts, resume commands, validation loops and re-execution behavior. It highlights why work performed before an interruption must be safe to repeat.
Developers requiring human review before a consequential agent operation.
Resuming can re-enter a node or subgraph. A naive implementation can repeat writes, and checkpoint identity must match the intended conversation.
Unknown; inspect source requirements and supporting scripts.
Inspect the pinned source snapshot and its supporting files first. The command selects this skill through the open-source skills CLI. Node.js and agent-specific setup may be required. Installation can download code. Catalog ingestion never executes skill instructions or install scripts.
npx skills add https://github.com/langchain-ai/langchain-skills/tree/126c384d8552dcb476b226c244172186cc3f4328/config/skills/langgraph-human-in-the-loop --skill langgraph-human-in-the-loopReview pinned skill folder ↗ · CLI documentation ↗
After source review, use npx skills check and npx skills update to inspect and apply upstream updates. Re-check changed instructions before running them.
Static review only. This is not a security audit or a guarantee of safety.
SKILL.md text only; scripts, dependencies and runtime behavior not audited.
No configured text patterns matched. Unmatched or concealed behavior can still exist.
Allowed tools declaration: Unknown. Runtime permissions and network behavior: Unknown.
86/100 · Metadata coverage 100% · Model 1.0
Scores summarize observable discovery signals. Popularity and repository activity apply to the whole repository. Unknown runtime safety earns no certification.
Place the approval boundary before the protected effect, persist the correct state and make pre-interruption work idempotent.
Test rejection, repeated resume, interrupted sessions and invalid input, verifying that denied actions do not run and approved operations do not execute twice.
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Configure a Deep Agents application around its harness and supported extension points.
Choose Deep Agents storage backends according to persistence and filesystem requirements.
Coordinate Deep Agents tasks with explicit delegation, planning and approval boundaries.