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jingyaogong/minimind-o

https://github.com/jingyaogong/minimind-o · scanned 2026-05-16 22:30 UTC (21 hours, 53 minutes ago) · 10 languages

47 findings (15 legacy + 32 scanner) 13th percentile · Python · small (2-20K LoC) Scanner says 74 (lower by 23)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 21 hours, 53 minutes ago · v1 · 47 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
68.7
/100
Repobility
63
15 legacy
9-layer
74
77.8% cov · 32 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. #}
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 11 Medium 14 Low 21 Source: Legacy 15 9-layer 32 Crowd 0 Layer: Quality 10 Security 21 Software 5 Frontend 1 Cicd 1 Api 9
9 warning
ANY /
warning
endpoint 9 gaps risk 0.05
auth
ANY /call
warning
endpoint 9 gaps risk 0.05
auth
ANY /chat
warning
endpoint 9 gaps risk 0.05
auth
ANY /clone_voice
warning
endpoint 9 gaps risk 0.05
auth
ANY /delete_voice
warning
endpoint 9 gaps risk 0.05
auth
ANY /models
warning
endpoint 9 gaps risk 0.05
auth
ANY /switch_model
warning
endpoint 9 gaps risk 0.05
auth
ANY /voices
warning
endpoint 9 gaps risk 0.05
auth
ANY /ws/realtime
warning
endpoint 9 gaps risk 0.05
auth
{# ── 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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