mirror of
https://github.com/affaan-m/everything-claude-code.git
synced 2026-06-21 12:30:29 +08:00
bd45947941
Add structured 5-axis self-evaluation framework for agent output quality: - Accuracy, Completeness, Clarity, Actionability, Conciseness - Evidence-based scoring with concrete improvement suggestions - Standalone Python evaluator script with keyword heuristics - Detailed scoring anchors reference guide - High-score and low-score annotated examples - Reusable evaluation report template - Optional hook integration for session-stop evaluation Agent persona (agent-evaluator) provides a dedicated subagent for applying the rubric to agent output with tool-backed verification. All files tested: Python script runs, examples score correctly (high 4.2, low 3.4), frontmatter parses clean, 183 lines (under 500).
60 lines
1.8 KiB
Markdown
60 lines
1.8 KiB
Markdown
# Hook Integration for Session-Stop Self-Evaluation
|
|
|
|
Add this hook to `hooks/hooks.json` to automatically trigger self-evaluation at the end of every session:
|
|
|
|
```json
|
|
{
|
|
"hooks": {
|
|
"Stop": [
|
|
{
|
|
"matcher": "true",
|
|
"hooks": [
|
|
{
|
|
"type": "command",
|
|
"command": "echo '[Self-Eval] Session complete. Consider running agent-self-evaluation to rate your output.'"
|
|
}
|
|
],
|
|
"description": "Remind agent to self-evaluate at session end"
|
|
}
|
|
]
|
|
}
|
|
}
|
|
```
|
|
|
|
## Integration with the Python Evaluator
|
|
|
|
The `scripts/evaluate.py` script can be used as a standalone tool:
|
|
|
|
```bash
|
|
# Pipe agent output directly
|
|
echo "Your agent response here" | python3 skills/agent-self-evaluation/scripts/evaluate.py
|
|
|
|
# From files
|
|
python3 skills/agent-self-evaluation/scripts/evaluate.py --task task.txt --output response.txt
|
|
```
|
|
|
|
To integrate it into hooks, capture the last agent output to a file first, then run the evaluator:
|
|
|
|
```json
|
|
{
|
|
"PostToolUse": [
|
|
{
|
|
"matcher": "tool == \"Bash\" && tool_input.command matches \"(test|pytest|npm test|go test)\"",
|
|
"hooks": [
|
|
{
|
|
"type": "command",
|
|
"command": "echo '[Self-Eval] Tests completed. Consider running agent-self-evaluation.'"
|
|
}
|
|
],
|
|
"description": "Remind agent to self-evaluate after test runs"
|
|
}
|
|
]
|
|
}
|
|
```
|
|
|
|
These hooks are opt-in. Add them to your local `hooks/hooks.json` if you want automated evaluation prompts.
|
|
|
|
## Manual Usage (Recommended)
|
|
|
|
The most reliable approach is manual invocation — the agent runs self-evaluation as part of its workflow when the `agent-self-evaluation` skill is active, without requiring hook configuration. The skill's "When to Activate" section already covers trigger conditions (multi-file changes, debugging sessions, design documents).
|