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Scan timing: clone 2.32s · analysis 0.03s · 2.8 MB · GitHub API rate-limit (preflight)

Jenqyang/Awesome-AI-Agents

https://github.com/Jenqyang/Awesome-AI-Agents · scanned 2026-05-31 01:25 UTC (5 days, 14 hours ago) · 10 languages

10 findings (2 legacy + 8 scanner) 43rd percentile · Unknown · Scanner says 85 (lower by 15)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 5 days, 14 hours ago · v2 · 6 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
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 30.0 0.15 4.50
security_score 100.0 0.25 25.00
testing_score 70.0 0.20 14.00
documentation_score 55.0 0.15 8.25
practices_score 70.0 0.15 10.50
code_quality 80.0 0.10 8.00
Overall 1.00 70.2
Severity distribution — click a segment to filter
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All 9 nodes from the latest scan, grouped by kind. Each node is a unit the engine identified (file, function, endpoint, table…). Most users won't need this view — it's primarily for debugging the engine's graph extraction or for AI agents that want to enumerate the project structure.

LabelLayerStatusPath
README.md software healthy README.md
CONTRIBUTING.md software healthy CONTRIBUTING.md
pull_request_template.md software healthy .github/pull_request_template.md
update-existing-entry.yml software healthy .github/ISSUE_TEMPLATE/update-existing-entry.yml
config.yml software healthy .github/ISSUE_TEMPLATE/config.yml
new-resource-submission.yml software healthy .github/ISSUE_TEMPLATE/new-resource-submission.yml

LabelLayerStatusPath
.github software healthy .github
ISSUE_TEMPLATE software healthy .github/ISSUE_TEMPLATE

LabelLayerStatusPath
repobility-clone-zqfv4saj software healthy /tmp/repobility-clone-zqfv4saj
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