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Deterministic custom subagent selection helper. Use when you need a reproducible, auditable decision on which custom subagents to activate for a user query (runs scripts/agent_evaluator.py).
SKILL.md
Full skill instructions
Agent Evaluator
Evaluate a user query against the workspace's available subagents and return a JSON decision payload (activated/required/suggested agents and scoring).
Mechanism
Run the evaluator script (located in scripts folder relative this skill file) with the user query as an argument.:
python scripts/agent_evaluator.py "YOUR_QUERY_HERE"
Optional: include a contextual file path as the second argument:
python scripts/agent_evaluator.py "YOUR_QUERY_HERE" "path/to/file.ext"
Output
- Writes a JSON object to stdout.
- Key fields include:
activated_agentsrequired_agentssuggested_agentsevaluations(per-agent score + reasoning)
Examples
Evaluate a query:
python scripts/agent_evaluator.py "Please help refine our custom instruction file"
Evaluate a query with file context:
python scripts/agent_evaluator.py "Update this instruction" "instructions/agent-forced-eval.instructions.md"
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