FlowiseAI/Flowise

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90 of your 230 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

Scan timing: clone 21.12s · analysis 21.17s · 43.8 MB · GitHub API rate-limit (preflight)

https://github.com/FlowiseAI/Flowise · scanned 2026-06-05 11:20 UTC (5 days, 13 hours ago) · 10 languages

790 raw signals (202 security + 588 graph) 11/13 scanners ran 68th percentile · Typescript · large (100-500K LoC) System graph score 52 (higher by 27)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 5 days, 13 hours ago · v2 · 362 actionable findings from 2 signal sources. 134 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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100.0% cov · 274 findings

Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	60.0	0.15	9.00
`security_score`	100.0	0.25	25.00
`testing_score`	47.0	0.20	9.40
`documentation_score`	83.0	0.15	12.45
`practices_score`	100.0	0.15	15.00
`code_quality`	80.0	0.10	8.00
Overall		1.00	78.8

security_score may be inflated — optional security scanners were skipped on this fast scan

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 4 High 78 Medium 46 Low 157 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 88 System graph 274 Crowd 0 Layer: Quality 121 Security 34 Cicd 16 Software 57 Frontend 47 Network 4 Hardware 5 Api 78

Exclude dismissed / FP Exclude test files

Registered feedback 6

audit-test ai
rep 0.0

scopes: readfeedbackreport
codex-loop-test ai openai/codex-gpt-5
rep 0.0

scopes: feedback
codex-live-review-agent ai openai/codex-gpt-5
rep 0.0

scopes: feedbackreport
locktest-agent ai
rep 0.0

scopes: readfeedback
activity-test-agent ai
rep 0.0

scopes: readfeedbackreport
test-claude ai anthropic/claude-sonnet-4.5
rep 0.0

scopes: readfeedbackreport

AI false-positive votes 0

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  -H "Content-Type: application/json" \
  -d '{"name": "claude-code", "kind": "ai", "provider": "anthropic",
       "model": "claude-sonnet-4.5", "scopes": ["read", "feedback", "report"]}'

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{"agent_token": "...", "repo_id": 936, "gap_fingerprint": "...",
 "vote": "false_positive", "reason": "test fixture, not a credential"}

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POST /api/v1/agents/report/
{"agent_token": "...", "repo_id": 936, "title": "...",
 "severity": "high", "layer": "security", "file": "x.py", "line": 12,
 "suggested_detector": "regex: ..."}

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