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skills/deck-report-qc/references/DASHBOARD_PACK.md
4.18 KB · Oct 2, 2026 · 00:03 UTC
# Deck Report QC Dashboard Pack Use this pack only when the user explicitly selects a standardized dashboard, reusable dashboard template, issue cockpit, remediation tracker, or structured payload-driven render for a Public Equity Investing deck/report QC review. For an ordinary substantive standalone QC review, produce a polished standalone HTML senior-review QC report following the flexible HTML artifact standard and the owning skill's evidence-scope guidance instead of this fixed module map. ## Producer Role `deck-report-qc` owns issue identification, severity, source/number tie-out, chart/narrative checks, circulation posture, and remediation sequence. `dashboard-builder` owns the shared HTML shell, module rendering, responsive layout, citation behavior, and validation. ## Recommended Payload - `mode`: `deck_report_qc` - `layout`: `single_page` for reusable QC packs unless the user explicitly requests tabs - `hero.callout`: whether the deliverable is clear, needs targeted fixes, blocked, or not circulable - `snapshot`: QC posture, issue count, critical/high count, source coverage, repeated-number status, chart tie-out status, missing support files - `sources`: controlling artifact, support model/files, evidence ledger, filings/releases/transcripts, and extracted first-pass scan outputs - Raw JSON, Markdown notes, CSV exports, and run logs are support/audit material unless the user explicitly asks for them. ## Tabs And Modules 1. `qc-verdict` - `decision_box`: circulation posture, top blocker, recommended remediation order, and review confidence - `metric_tiles`: issue counts, critical/high count, source coverage, repeated-number status, chart status, missing support 2. `issue-log` - `table`: page/slide/section, severity, issue type, finding, evidence, suggested fix, and owner/status if known 3. `number-source-tieout` - `table`: repeated metrics, units, periods, source/model tie-out, mismatches, and confidence - `cards`: source-footnote coverage and caveat/disclosure gaps 4. `chart-narrative` - `table`: chart titles, axes, series, narrative takeaway, source support, and inconsistency notes 5. `remediation` - `timeline`: fix sequence, dependencies, missing support files, and review checkpoints - `missing_evidence`: unavailable model/source files, inaccessible charts, scanned pages, weak source metadata, and unresolved judgment calls The source tab is normally generated from top-level `sources`. ## Required Evidence - Production dashboard payloads must include `metadata.payload_stage: "production"`, `mode`, `layout`, `hero`, non-empty `snapshot`, `sources`, `metadata.freeze_time`, `metadata.source_posture`, `metadata.readiness_label`, `metadata.readiness_posture`, `metadata.decision_context`, and `metadata.citation_policy: "strict"`. - Use `metadata.payload_stage: "draft"` or `"support"` with `metadata.citation_policy: "warn"` only for internal support payloads; final HTML/XLSX/chat handoffs must keep gaps visible and must not claim PM-ready, client-ready, committee-ready, external, or publication-ready status. - Cite the controlling artifact and every support file or source used for a QC finding. - Label deterministic findings versus judgment calls and use `needs_review` when the evidence is incomplete. - Use `metadata.citation_policy: "strict"` for production dashboards. ## Do Not - Do not certify external circulation from heuristic scans alone. - Do not edit the original deck/report unless the user explicitly asks for remediation. - Do not make raw JSON, Markdown notes, or CSV sidecars the lead user-facing artifact unless explicitly requested. ## QA Checks - Validate with `skills/public-equity-investing/internal-support/dashboard-builder/scripts/validate_payload.py`. - Confirm severity ordering, repeated-number tie-out, source coverage, chart/narrative findings, and remediation sequence are visible. - Confirm uncertainty is labeled rather than hidden. public-equity research support layer requirement: QC dashboards should surface equity decision impact first: EPS/revenue/KPI support, valuation and price-target support, rating/stance support, benchmark/ETF/index exposure, catalyst claims, source conflicts, market-data freshness, and any Credit Markets handoff.
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