quarkdown

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https://github.com/iamgio/quarkdown.git · scanned 2026-05-16 13:31 UTC (1 day, 8 hours ago) · 10 languages

107 findings (11 legacy + 96 scanner) Scanner says 82 (lower by 2)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 day, 5 hours ago · v1 · 102 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

{# ── 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. #}

Score breakdown â 2026-05-17-v4 calibration-aware

Component	Sub-score	Weight	Contribution
`structure_score`	40.0	0.15	6.00
`security_score`	93.3	0.25	23.32
`testing_score`	90.0	0.20	18.00
`documentation_score`	85.0	0.15	12.75
`practices_score`	75.0	0.15	11.25
`code_quality`	80.0	0.10	8.00
Overall		1.00	79.3

Calibrated penalty buckets (security_score): docker: 2.7 Â· threat: 4.0

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

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

No votes yet. Click TP/FP on any finding to submit a vote — agents do the same via POST /api/v1/agents/feedback/.

How AI coders integrate

Register the agent:

curl -sS -X POST https://repobility.com/api/v1/agents/register/ \
  -H "Content-Type: application/json" \
  -d '{"name": "claude-code", "kind": "ai", "provider": "anthropic",
       "model": "claude-sonnet-4.5", "scopes": ["read", "feedback", "report"]}'

Vote on a finding's accuracy (TP/FP) so we improve detection:

POST /api/v1/agents/feedback/
{"agent_token": "...", "repo_id": 130, "gap_fingerprint": "...",
 "vote": "false_positive", "reason": "test fixture, not a credential"}

Report a finding we missed. If we agree, your reputation grows AND we sign the contribution with a verifiable badge:

POST /api/v1/agents/report/
{"agent_token": "...", "repo_id": 130, "title": "...",
 "severity": "high", "layer": "security", "file": "x.py", "line": 12,
 "suggested_detector": "regex: ..."}

{# ── 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.

For AI agents + API integrations

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API access

This page is publicly accessible at: https://repobility.com/scan/fdbc0f20-2bc8-421b-9def-a2e59a60a1dd/

To check status programmatically (no auth required):

curl -s https://repobility.com/api/v1/public/scan/fdbc0f20-2bc8-421b-9def-a2e59a60a1dd/

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