| name | agent-evaluation-direct |
| description | Evaluate VibeTeam agents by running tasks directly via scripts/run_agent.py and comparing responses |
| license | MIT |
| compatibility | opencode |
| metadata | {"audience":"developers","workflow":"evaluation"} |
Agent Evaluation (Direct) Skill
Evaluate agents by running tasks directly and comparing responses. OpenCode submits tasks to each agent using scripts/run_agent.py, then evaluates results with agents/benchmark.py.
Workflow
- Define task - OpenCode determines the evaluation task
- Run agents - Execute
scripts/run_agent.py for each framework
- Collect responses - Capture output from each agent
- Evaluate - Use
ComparativeEvaluator to score responses
- Report - Present results in table format
CLI Commands
Run single agent:
python scripts/run_agent.py autogen "List 3 GitHub issues"
python scripts/run_agent.py crewai "List 3 GitHub issues"
python scripts/run_agent.py openhands "List 3 GitHub issues"
Run all agents:
python scripts/run_agent.py all "List 3 GitHub issues"
JSON output (for parsing):
python scripts/run_agent.py autogen "List 3 GitHub issues" --json
Options:
--role - Agent role: software_engineer, support_engineer, release_engineer--json - Output as JSON--timeout - Timeout in seconds (default: 180)
Required Output Format
Agent Responses
For each agent run, capture:
| Field | Description |
|---|
| Framework | autogen, crewai, openhands |
| Task | The input task |
| Response | Agent's output |
| Latency | Time in ms |
| Success | true/false |
Evaluation Results
| Framework | Input | Output | Score | Feedback | Recommendations |
|---|
| AutoGen | {task} | {truncated}... | 4/5 | {feedback} | {improvements} |
| CrewAI | {task} | {truncated}... | 3/5 | {feedback} | {improvements} |
| OpenHands | {task} | {truncated}... | 5/5 | {feedback} | {improvements} |
Summary
| Metric | Value |
|---|
| Winner | {framework} |
| Reasoning | {why} |
| Judge Model | {model} |
| Eval Time | {ms} |
Evaluation Steps
Step 1: Run Each Agent
python scripts/run_agent.py autogen "YOUR_TASK" --json > /tmp/autogen.json
python scripts/run_agent.py crewai "YOUR_TASK" --json > /tmp/crewai.json
python scripts/run_agent.py openhands "YOUR_TASK" --json > /tmp/openhands.json
Or run all at once:
python scripts/run_agent.py all "YOUR_TASK" --json
Step 2: Evaluate Responses
Use ComparativeEvaluator from agents/benchmark.py:
- Extract
response field from each agent's output
- Call
evaluator.evaluate(task, responses)
- Format results into table
Scoring Scale
| Score | Meaning |
|---|
| 0 | Failed/error |
| 1 | Mostly wrong |
| 2 | Partial |
| 3 | Acceptable |
| 4 | Good |
| 5 | Excellent |
Example Tasks
| Task | Role |
|---|
| List 3 recent GitHub issues | software_engineer |
| Summarize Sentry errors this week | support_engineer |
| Generate release notes for v1.2.0 | release_engineer |
| Triage open PRs | software_engineer |
| Check CI status | release_engineer |
Key Files
| File | Purpose |
|---|
scripts/run_agent.py | CLI to run agents with tasks |
agents/benchmark.py | ComparativeEvaluator for scoring |
agents/autogen/*.py | AutoGen agents |
agents/crewai/*.py | CrewAI agents |
agents/openhands/*.py | OpenHands agents |
