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lightseekorg/tokenspeed

https://github.com/lightseekorg/tokenspeed · scanned 2026-05-16 22:31 UTC (18 hours, 53 minutes ago) · 10 languages

746 findings (51 legacy + 695 scanner) 58th percentile · Python · large (100-500K LoC) Scanner says 70 (higher by 3)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 18 hours, 53 minutes ago · v1 · 746 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
68.1
/100
Repobility
67
51 legacy
9-layer
70
88.9% cov · 695 gaps
Critical
0
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Agents
6
0 votes
Crowd
0
reported
Severity distribution — click a segment to filter
Active filters: severity: critical × excluding tests × Reset all
Severity: Critical 0 High 15 Medium 18 Low 213 Source: Legacy 51 9-layer 695 Crowd 0 Layer: Cicd 47 Security 11 Quality 626 Software 48 Hardware 3 Frontend 1 Api 10
Scan summary Repository scanned at 69.6/100 with 88.9% coverage. It contains 6761 nodes across 12 cross-layer flows, written primarily in mixed languages. Engine surfaced 695 findings — concentrated in quality (586), software (45), cicd (43). Risk profile is high: 0 critical, 7 high, 13 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 0 of 746 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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