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lhfer/claude-howto-zh-cn

https://github.com/lhfer/claude-howto-zh-cn · scanned 2026-05-17 01:37 UTC (18 hours, 49 minutes ago) · 10 languages

142 findings (6 legacy + 136 scanner) 8/10 scanners ran 82nd percentile · Python · small (2-20K LoC) Scanner says 88 (lower by 7)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 18 hours, 49 minutes ago · v2 · 74 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
81.2
/100
Repobility
74
6 legacy
9-layer
89
100.0% cov · 68 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: source: crowd × excluding tests × Reset all
Severity: Critical 0 High 1 Medium 25 Low 46 Source: Legacy 6 9-layer 68 Crowd 0 Layer: Quality 11 Software 8 Api 1 Frontend 4 Network 1 Cicd 49
Scan summary Repository scanned at 88.5/100 with 100.0% coverage. It contains 586 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 68 findings — concentrated in cicd (49), quality (8), software (5). Risk profile is low: 0 critical, 0 high, 21 medium. Recommended next step: open the cicd layer findings first — that's where the highest-impact wins live.

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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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