Public scan — anyone with this URL can view this analysis. Sign up to track your own repos privately, run scheduled re-scans, and get AI fix prompts via your dashboard.
Sign up free Scan another repo

Imbad0202/academic-research-skills

https://github.com/Imbad0202/academic-research-skills.git · scanned 2026-05-16 02:10 UTC (2 weeks, 6 days ago) · 10 languages

71 findings (7 legacy + 64 scanner) 84th percentile · Python · medium (20-100K LoC) Scanner says 86 (lower by 5)

File as issue Image v2 schema
UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 weeks, 6 days ago · v1 · 6 findings from 1 source. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
Combined
79.1
/100
Repobility
72
6 legacy
9-layer
86
77.8% cov · 0 gaps
Critical
0
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-17-v4 calibration-aware
Component Sub-score Weight Contribution
structure_score 40.0 0.15 6.00
security_score 94.8 0.25 23.70
testing_score 100.0 0.20 20.00
documentation_score 100.0 0.15 15.00
practices_score 65.0 0.15 9.75
code_quality 66.2 0.10 6.62
Overall 1.00 81.1
Calibrated penalty buckets (security_score): agent: 3.2 · threat: 2.0
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 3 Medium 2 Low 1 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 6 9-layer 0 Crowd 0 Layer: Quality 3 Security 1 Software 2
Corpus Intelligence Cross-corpus context (cohort percentile, top patterns, fix plan) is shown only on repositories you own. Sign up and connect your repo to view it.
Scan summary Repository scanned at 86.3/100 with 77.8% coverage. It contains 2477 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 0 findings. Risk profile is low: 0 critical, 0 high, 0 medium. Recommended next step: open the software layer findings first — that's where the highest-impact wins live.

Showing 6 of 6 findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

medium Legacy quality error_handling conf 1.00 [ERR001] Silent Exception Swallowing: Silently swallowing all exceptions hides bugs. Even in cleanup code, log at DEBUG level.
Log the error: `except Exception: logger.debug('cleanup failed', exc_info=True)`. Or handle specific exception types.
scripts/check_audit_artifact_consistency.py:1975 error_handlinglegacy
low Legacy security deserialization conf 1.00 [SEC007] Unsafe Deserialization: Unsafe deserialization can execute arbitrary code.
Use yaml.safe_load() instead of yaml.load(). Avoid pickle for untrusted data.
scripts/_next_verified_at_ms.py:134 deserializationlegacy
medium Legacy quality quality conf 0.73 Codex session log reader may expose prompts or tool-call content
Codex session JSONL files can contain prompts, tool events, paths, and operational metadata, not only token counts. Token dashboards and exporters should avoid retaining or sharing raw session text.
scripts/run_codex_audit.sh:26 qualitylegacy
high Legacy quality quality conf 0.86 Duplicated implementation block across source files
Duplicated blocks are a common artifact when generated code is pasted or recreated instead of reused. They increase maintenance cost because every future bug fix must be found in multiple locations.
scripts/check_compliance_report.py:57 qualitylegacy
high Legacy software dependency conf 0.70 Remote install command pipes network code directly to a shell
Agent helper projects often publish one-line installers. `curl | sh` style commands are convenient, but they bypass review unless the script is pinned, signed, or checksum-verified.
docs/SETUP.zh-TW.md:23 dependencylegacy
high Legacy software dependency conf 0.70 Remote install command pipes network code directly to a shell
Agent helper projects often publish one-line installers. `curl | sh` style commands are convenient, but they bypass review unless the script is pinned, signed, or checksum-verified.
QUICKSTART.md:9 dependencylegacy
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
Email me when this repo regresses
Free. We re-scan periodically; new criticals → your inbox. No signup required for the scan itself.
API access

This page is publicly accessible at: https://repobility.com/scan/03b24a0c-a977-4e59-a04d-4c85f0722e2d/

To check status programmatically (no auth required): 

curl -s https://repobility.com/api/v1/public/scan/03b24a0c-a977-4e59-a04d-4c85f0722e2d/

Important — please don't re-submit the same URL repeatedly. The submission endpoint is idempotent: re-submitting the same git URL returns this same scan_token, not a new one. To re-scan this repo, sign up free and use the dashboard.