Initial commit: AI conversation impact methodology and toolkit

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.

tasks/08-value-in-log.md

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+# Task 8: Add value field to impact log
+
+**Plan**: measure-positive-impact
+**Status**: DONE (added annotate-impact.sh for manual value annotation; show-impact.sh displays annotations)
+**Depends on**: Task 7 (need the metrics defined first)
+**Deliverable**: Updated hook and viewer scripts
+
+## What to do
+
+1. Add optional fields to the impact log JSON schema:
+   - `value_summary`: free-text description of value produced.
+   - `estimated_reach`: number (people affected).
+   - `counterfactual`: enum (none / slower / impossible).
+   - `net_assessment`: enum (clearly-positive / probably-positive /
+     uncertain / probably-negative / clearly-negative).
+
+2. These fields cannot be filled automatically by the hook — they
+   require human or LLM judgment. Options:
+   - Add a post-session prompt (via a Stop hook?) that asks for a
+     brief value assessment.
+   - Accept manual annotation via a helper script.
+   - Leave them optional; fill in retrospectively.
+
+3. Update `show-impact.sh` to display value fields when present.
+
+## Done when
+
+- The log schema supports value data alongside cost data.
+- `show-impact.sh` displays both.