Subagent Architecture
PassAudited by ClawScan on May 1, 2026.
Overview
This appears to be a transparent, purpose-aligned reference skill for subagent orchestration, with user-run code, optional external peer workflows, and persistent cost logs that users should configure deliberately.
Use this skill if you need advanced subagent orchestration patterns, but treat it as a powerful reference implementation: review the local scripts before running them, keep spawned agents tightly scoped, do not assume full sandbox enforcement, and only enable external peer/webhook flows with sanitized data.
Findings (4)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
If users rely on these patterns for high-risk operations, subagents may still need manual cost, timeout, tool, and data-access limits.
The skill is about spawning and coordinating subagents, and it explicitly documents that some enforcement boundaries may not exist in the current framework.
Limitations: No memory limits, API quotas, disk caps, per-spawn tool restrictions
Use the templates with explicit human approval, tight timeouts, limited context, and clear cost/tool boundaries for each spawned agent.
Installing the skill alone should not run code, but using it may involve running local scripts or importing JS helpers.
The skill includes a user-directed shell setup step and runnable JS libraries; the same documentation states these are not auto-executed.
bash setup.sh # Creates directories and scaffolding
Review setup.sh and the lib/ files before running or requiring them, especially in shared or sensitive workspaces.
Cost and pattern history may persist across sessions and influence later agent behavior or budgeting assumptions.
The examples show persistent logging of subagent cost history into a memory path, which may be reused for future estimation and decisions.
console.log('✓ Logged to memory/subagent-costs.jsonl');Keep cost logs free of sensitive task details, review them periodically, and avoid treating historical estimates as authoritative without validation.
If enabled, task context or sanitized artifacts could be shared with external services or peer agents.
The skill supports optional external peer-review flows through webhooks and peer endpoints, which can transmit review data outside the local workspace.
Discord webhook (peer review flow) ... External peer agents (API endpoints) ... Federated review workflows are opt-in.
Only configure trusted peer endpoints or webhooks, minimize the data sent for review, and manually verify sanitization before sharing sensitive content.