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openscreen

https://github.com/siddharthvaddem/openscreen.git · scanned 2026-05-17 02:50 UTC (18 hours, 30 minutes ago) · 10 languages

105 findings (17 legacy + 88 scanner) 8/10 scanners ran 72nd percentile · Typescript · medium (20-100K LoC) Scanner says 82 (lower by 3)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 18 hours, 30 minutes ago · v1 · 105 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
Combined
82.9
/100
Repobility
84
17 legacy
9-layer
82
88.9% cov · 88 gaps
Critical
0
click to filter
Agents
6
0 votes
Crowd
0
reported
{# ── 2026-05-17 R27 #5: score breakdown panel ────────────────────── Surfaces the score_breakdown JSON that's been silently stored on Repository for months. Turns hidden math into a trust signal. #}
Score breakdown â 2026-05-17-v4 calibration-aware
Component Sub-score Weight Contribution
structure_score 85.0 0.15 12.75
security_score 89.6 0.25 22.40
testing_score 59.0 0.20 11.80
documentation_score 73.7 0.15 11.05
practices_score 90.0 0.15 13.50
code_quality 70.0 0.10 7.00
Overall 1.00 78.5
Calibrated penalty buckets (security_score): web: 3.0 · agent: 2.4 · threat: 5.0
Severity distribution — click a segment to filter
Active filters: source: crowd × excluding tests × Reset all
Severity: Critical 0 High 4 Medium 9 Low 79 Source: Legacy 17 9-layer 88 Crowd 0 Layer: Quality 30 Security 2 Software 44 Api 1 Frontend 11 Cicd 17
Scan summary Repository scanned at 81.5/100 with 88.9% coverage. It contains 1044 nodes across 1 cross-layer flows, written primarily in mixed languages. Engine surfaced 88 findings — concentrated in software (41), cicd (17), quality (17). Risk profile is low: 0 critical, 0 high, 5 medium. Recommended next step: open the software layer findings first — that's where the highest-impact wins live.

Showing 0 of 105 findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

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{# ── 2026-05-17 Round 14: AI-agent bridge footer ────────────────────── Discoverability: the /agents/voting/ guide + MCP manifest exist but aren't linked from anywhere users actually land. Small, opt-in footer. #}
For AI agents: Voting guide (TP/FP) MCP manifest Stdio wrapper SARIF Integrate Findings queue Vote TP/FP on findings to calibrate the engine.
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