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assess-findingslisted

Renders the /assess report from the deterministic run-context.json and the layer scorecard - the scorecard, the verbatim cross-layer findings, lying signals, and the mandatory Top 3 Actions. TRIGGER when the /assess orchestrator reaches the report-writing step; not a standalone user command.
bjcoombs/ai-native-toolkit · ★ 30 · AI & Automation · score 77
Install: claude install-skill bjcoombs/ai-native-toolkit
# Assess Findings Writer The report-writing half of `/assess`. The deterministic core has written `.assess/run-context.json` (the data bus) and the `assess-layer-scorer` agent has returned the 0-8 scorecard. Your job is to assemble `.assess/assess-report.md`: the scorecard, the snapshots, the **verbatim** cross-layer findings, the lying signals, and the Top 3 Actions. The deterministic parts are not yours to invent - you paste them. You write the prose *around* a findings section you cannot omit or reorder. This is the deterministic-core-writes-data / LLM-writes-prose split that makes the report reproducible regardless of which model drives the run. ## Inputs - `$REPO_ROOT/.assess/run-context.json` - the data bus (findings, attention, keyhole summary, prescribed actions, stats, diff). - The scorecard returned by the `assess-layer-scorer` agent (the 0-8 score, per-layer verdicts, maturity label), with its `evidence` list already re-checked by `lib/evidence_check.py`: only entries that held on disk remain there; the rejected ones arrive separately under `evidence_rejected`, each with the `reason` the check gave. **Existence and wiring claims cite only verified evidence.** A report sentence saying a file or directory exists or is missing, or that something is or is not wired in (a workflow runs the linter, no CI job calls the script), must rest on an entry in the scorecard's `evidence` list and name the path that entry cites. When no verified entry backs such a claim, leave