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The org runs 3+ security scanners (OpenSSF Scorecard, SonarCloud, CodeQL) plus AI code review tools across 5 repos, generating findings tracked separately with no unified view. This proposal creates a scheduled workflow that aggregates security scores, finding counts, and remediation trends into a single summary, enabling cross-scanner prioritization and org-wide security posture trending.
Market Signal
The security tooling market is consolidating around unified dashboards — Snyk, Mend, and Wiz all offer multi-scanner aggregation views. OpenSSF Scorecard v5.5.0 (April 2026) improved check accuracy and now runs billions of evaluations monthly. GitHub's code scanning dashboard aggregates CodeQL and SARIF sources but does not include Scorecard or SonarCloud. The gap between "many scanners, no single view" is a recognized DevSecOps pain point across the industry.
OpenSSF Scorecard already runs as a scheduled GitHub Action with SARIF output. SonarCloud findings are queryable via API. CodeQL results are accessible through the code scanning API. The compliance-audit workflow already queries multiple data sources — extending that pattern to aggregate security scanner results is architecturally consistent. The daily Org Status issue (#751) provides a proven template for automated reporting.
Assessment
Dimension
Score
Rationale
Feasibility
med
Requires API integration with 3 scanners; no new tooling needed
Active remediation work is happening now without unified prioritization
Adversarial Review
Strongest objection: Dashboard fatigue — the org already has daily Org Status issues, fleet monitoring, compliance audits, and canary telemetry. Adding another reporting surface risks being ignored.
Rebuttal: The value is in cross-scanner prioritization, not just visibility. When you have a SonarCloud MAJOR finding and a Scorecard 0/10, which do you fix first? Today that requires checking 3 different dashboards. A unified trend view shows which scanner produces the most actionable findings and whether overall posture is improving or degrading. It replaces multiple manual checks rather than adding to them. The weekly cadence (vs. daily for Org Status) keeps the signal-to-noise ratio manageable.
Suggested Next Step
Prototype a scheduled workflow that runs weekly, queries Scorecard (via scorecard-action), SonarCloud (via API), and CodeQL (via code scanning API), and writes a summary to GITHUB_STEP_SUMMARY. If valuable, extend to a GitHub Projects board with per-repo tracking.
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Summary
The org runs 3+ security scanners (OpenSSF Scorecard, SonarCloud, CodeQL) plus AI code review tools across 5 repos, generating findings tracked separately with no unified view. This proposal creates a scheduled workflow that aggregates security scores, finding counts, and remediation trends into a single summary, enabling cross-scanner prioritization and org-wide security posture trending.
Market Signal
The security tooling market is consolidating around unified dashboards — Snyk, Mend, and Wiz all offer multi-scanner aggregation views. OpenSSF Scorecard v5.5.0 (April 2026) improved check accuracy and now runs billions of evaluations monthly. GitHub's code scanning dashboard aggregates CodeQL and SARIF sources but does not include Scorecard or SonarCloud. The gap between "many scanners, no single view" is a recognized DevSecOps pain point across the industry.
User Signal
Technical Opportunity
OpenSSF Scorecard already runs as a scheduled GitHub Action with SARIF output. SonarCloud findings are queryable via API. CodeQL results are accessible through the code scanning API. The compliance-audit workflow already queries multiple data sources — extending that pattern to aggregate security scanner results is architecturally consistent. The daily Org Status issue (#751) provides a proven template for automated reporting.
Assessment
Adversarial Review
Strongest objection: Dashboard fatigue — the org already has daily Org Status issues, fleet monitoring, compliance audits, and canary telemetry. Adding another reporting surface risks being ignored.
Rebuttal: The value is in cross-scanner prioritization, not just visibility. When you have a SonarCloud MAJOR finding and a Scorecard 0/10, which do you fix first? Today that requires checking 3 different dashboards. A unified trend view shows which scanner produces the most actionable findings and whether overall posture is improving or degrading. It replaces multiple manual checks rather than adding to them. The weekly cadence (vs. daily for Org Status) keeps the signal-to-noise ratio manageable.
Suggested Next Step
Prototype a scheduled workflow that runs weekly, queries Scorecard (via
scorecard-action), SonarCloud (via API), and CodeQL (via code scanning API), and writes a summary toGITHUB_STEP_SUMMARY. If valuable, extend to a GitHub Projects board with per-repo tracking.All reactions