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>
The impact hooks have now captured 3 sessions of real data (295 Wh,
95g CO2, $98). Update the plan to show tracked numbers as a lower
bound and revise the rough total estimate downward.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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.