3 Commits

Author	SHA1	Message	Date
Hawthorn	c0f651cf85	fix: align report format across evaluate.py, agent spec, and template ... - evaluate.py: add CRITICAL ISSUES (axes ≤ 2) section, VERDICT line - agent-evaluator.md: match format_report output exactly (title, evidence markers, bar graphs) - templates/evaluation-report.md: match evaluate.py output format - All now produce identical AGENT SELF-EVALUATION REPORT structure Single authoritative format: evaluate.py's format_report() output.	2026-06-10 17:11:44 +05:30
Hawthorn	d0a84db177	Update agents/agent-evaluator.md ... Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>	2026-06-10 17:08:31 +05:30
Hawthorn	bd45947941	feat(skills,agents): add agent-self-evaluation skill and agent-evaluator persona ... 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).	2026-06-10 16:56:18 +05:30