orchestrator

PassAudited by ClawScan on May 4, 2026.

Overview

This is an instruction-only project orchestration skill with no install code or credentials, but users should review its multi-agent delegation and checkpoint behavior before relying on it.

This skill appears coherent and benign as an instruction-only orchestrator. Before installing, understand that it may propose multiple specialist agents, fallback agents, parallel sessions, and checkpointing. Approve plans before downstream agents act, review combined outputs carefully, and avoid putting secrets into shared task context or checkpoints.

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.

What this means

A task may be handed to different specialist agents than the user initially expected.

Why it was flagged

The skill can route work through fallback agents, which is core to an orchestrator but means task authority may broaden if a primary agent fails.

Skill content
Primary Agent (95%+) ↓ if unavailable or fails Secondary Agent (70%+) ↓ if unavailable or fails Generalist Fallback (/fullstack-engineer) ↓ if still fails Multi-Agent Coordinator (/multi-agent-coordinator)
Recommendation

Review the proposed agent plan and fallback chain before allowing downstream agents to make changes.

What this means

Outputs from one agent session could influence another phase of work, including mistakes or unsafe assumptions.

Why it was flagged

The skill encourages parallel work across multiple agent sessions and later result aggregation. This is consistent with its purpose, but cross-session context and outputs should be reviewed before being combined.

Skill content
For User: Open multiple Claude Code sessions to run these in parallel: Session 1: /backend-architect Design the API; Session 2: /ux-designer Create user flows; Session 3: /data-engineer Plan data pipeline
Recommendation

Treat each agent’s output as untrusted until reviewed, and avoid sharing secrets or unnecessary private project data across parallel sessions.

What this means

Stale or sensitive checkpoint content could be reused later if the agent stores or summarizes project state.

Why it was flagged

Checkpointing can create persistent summaries or saved state. The behavior is disclosed and purpose-aligned, but the visible artifacts do not specify storage location, retention, or reuse boundaries.

Skill content
Automatic Checkpoints (V4) Auto-save progress at key milestones for disaster recovery.
Recommendation

Confirm where checkpoints are saved, avoid including secrets in checkpoints, and periodically review or clear saved project context.

What this means

Users may overestimate the reliability or safety of the orchestration plans.

Why it was flagged

The description uses strong authority and quality claims that are not substantiated by the provided artifacts.

Skill content
powered by proven agentic design patterns from 1K+ real-world AI projects, enhanced with industry-leading multi-agent coordination
Recommendation

Treat generated plans as recommendations, not verified guarantees, and require explicit review before implementation.