Agent Evaluator
SkillAI & modelsDeterministic 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).
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Agent Evaluator skill
What this skill tells your AI
The instructions your AI receives, as published by diegosouzapw/awesome-omni-skill in skills/data-ai/agent-evaluator/SKILL.md and read by ahel’s review.
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"
Signals
- GitHub stars
- 57
- Forks
- 19
- Last commit
- Mar 2026
Advanced
- Catalog kind
- skill
- Gateway key
agent-evaluator-diegosouzapw- Source
- github.com/diegosouzapw/awesome-omni-skill