Coordinate Deep Agents tasks with explicit delegation, planning and approval boundaries.
Editorial note checked 2026-10-29 against this instruction snapshot. Supporting scripts and runtime behavior remain outside this editorial review.
The source covers subagents, task lists and human interruptions. It treats those as separate controls rather than assuming a task plan automatically constrains tool execution.
Developers designing a multi-step agent with reviewed consequential actions.
Delegation can multiply model calls and propagate sensitive context. Planning output is not evidence that tasks ran or that a human approved their effects.
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/deep-agents-orchestration --skill deep-agents-orchestrationReview 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.
Define work units and allowed context, configure subagents narrowly and identify operations requiring an actual approval interruption.
Test a rejected action, partial task failure and aggregation of incomplete results, then confirm that completion reports reflect executed work.
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