Session Feedback Analyzer

Parse Claude Code session JSONL to extract implicit user feedback signals. Detects skill invocations (tool_use blocks with name="Skill" or /slash-commands),...

This skill appears to do what it says: it parses local Claude session JSONL files to emit feedback events and compute per-skill metrics. Before installing/running, consider: 1) it reads conversation files under ~/.claude/projects (sensitive data) — run with --no-snippets if you want to avoid storing message text; 2) the scripts expect to import lib.common from a parent repo root that is not included in the package, so you may need to run the tool from the larger repo or supply the missing helper functions; 3) run the bundled tests (pytest) in a safe environment to ensure the script runs correctly; 4) inspect where output (feedback.jsonl) will be written and treat that file as sensitive; 5) because there is no install step, no external code is fetched, but exercise caution when running any script that reads local data.

Type: OpenClaw Skill Name: session-feedback-analyzer Version: 1.0.1 The session-feedback-analyzer is a legitimate utility designed to parse local Claude Code session logs (~/.claude/projects) to compute skill performance metrics. The Python scripts (analyze.py and metrics.py) implement keyword-based heuristics to classify user feedback without any network activity, unauthorized data exfiltration, or suspicious execution patterns. The bundle includes robust privacy controls, such as an opt-out configuration check and a flag to suppress user message snippets, and its behavior aligns strictly with its documented purpose.