The hook now records which files were edited and how many times,
enabling future comparison with committed code to measure human
review effort (Phase 2 of quantify-social-costs plan).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Extend pre-compact-snapshot.sh to extract 5 new per-conversation
metrics from the transcript: automation ratio (deskilling proxy),
model ID (monoculture tracking), test pass/fail counts (code quality
proxy), file churn (edits per unique file), and public push detection
(data pollution risk flag). Update show-impact.sh to display them.
New plan: quantify-social-costs.md — roadmap for moving non-environmental
cost categories from qualitative to proxy-measurable.
Tasks 19-24 done. Task 25 (methodology update) pending.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Update energy values in hook scripts to match calibrated methodology
(0.1/0.5 Wh per 1K tokens, was 0.003/0.015)
- Fix license in toolkit README: CC0, not MIT
- Update H2 sharing framing to match "beyond carbon" positioning
CC0-licensed methodology for estimating the environmental and social
costs of AI conversations (20+ categories), plus a reusable toolkit
for automated impact tracking in Claude Code sessions.
