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

kento1984/nouki_kaitou

https://github.com/kento1984/nouki_kaitou · scanned 2026-06-16 04:30 UTC (2 months ago)

17 raw signals (0 security + 17 graph)

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

Complete repo analysis

Last scanned 2 months ago · v1 · 16 actionable findings from 1 signal source. 1 repeated signal grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
48.0
/100
Security checks
48
0 findings
System graph
48
22.2% cov · 16 findings
Critical
0
click to filter
Agents
10
0 votes
Crowd
0
reported
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 0 Medium 3 Low 13 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 16 Crowd 0 Layer: Software 8 Quality 8
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 48.0/100 with 22.2% coverage. It contains 301 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 17 findings — concentrated in quality (9), software (8). Risk profile is low: 0 critical, 0 high, 3 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 16 of 16 actionable findings. 17 raw detector signals were grouped into reader-sized issues. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

medium System graph quality Agent instructions conf 1.00 Agent instructions exist but release-hardening basics are missing
AI-coder instruction files were found, but the repo is missing license, ci, tests, operator-readme. Treat this as a contract gap: the agent is guided, but the generated output is not yet guarded by the controls that make it repeatable.
Repo hardeningGenerated repo pattern
medium System graph quality Production readiness conf 1.00 Composite production-readiness gap
Multiple low-cost hardening controls are missing together: license, ci, tests, operator-readme. Opus verification showed these co-occurring gaps are a better readiness signal than reading each flag in isolation.
Repo hardeningGenerated repo pattern
medium System graph quality Tests conf 1.00 Very low test-to-source ratio
0 test file(s) for 26 source file(s) (ratio 0.00). Consider adding integration or unit tests for critical paths.
Coverage
low System graph quality Debug conf 1.00 Debug logging residue appears in source files
Found 107 console/debugger/print-style debug statements in non-test source. This is a common fast-generation residue before production cleanup.
CleanupRepo hardeningGenerated repo pattern
low System graph quality Integrity conf 1.00 2 occurrences Near-duplicate function bodies in 2 places
Functions with the same first-5-line body hash: delivery_calc.py:calculate_delivery_date, report_generator.py:build_report_row This is *the* AI-coder failure mode (4× more duplication in vibe-coded repos — see https://jw.hn/ai-code-hygiene). Consolidate or document why they're separate.
2 occurrences
repo-level (2 hits)
duplicatesduplication
low System graph quality License conf 1.00 No license file detected
No LICENSE/COPYING/NOTICE file was found. Generated repositories often omit licensing, which blocks reuse and automated intake.
Repo hardeningGenerated repo pattern
low System graph quality Docs conf 1.00 No README detected
No README file was found. Generated repos without README context are hard to operate, validate, or safely hand off.
ReadmeRepo hardeningGenerated repo pattern
low System graph quality Integrity conf 1.00 Old/deprecated-named symbol `顧客マスター_v2` in main.py:440
Names with suffixes like `_old`, `_v1`, `_deprecated` usually indicate replaced-but-not-removed code (typical AI-coder leftover). Confirm and delete, or rename if it's the active version.
old markerDead code
low System graph software Dead code conf 1.00 Possibly dead Python function: convert_day_name_to_number
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
customer.py:38
low System graph software Dead code conf 1.00 Possibly dead Python function: extract_date_from_string
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
utils.py:88
low System graph software Dead code conf 1.00 Possibly dead Python function: group_order_numbers_by_customer
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
data_loader.py:269
low System graph software Dead code conf 1.00 Possibly dead Python function: group_order_numbers_by_customer
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
report_generator.py:87
low System graph software Dead code conf 1.00 Possibly dead Python function: html_escape
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
email_builder.py:67
low System graph software Dead code conf 1.00 Possibly dead Python function: interactive_mode
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
main.py:305
low System graph software Dead code conf 1.00 Possibly dead Python function: save_confirming_list
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
history.py:326
low System graph software Dead code conf 1.00 Possibly dead Python function: should_skip_due_to_interval
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
business_days.py:179
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/cf255219-5b4f-442d-b6ef-71756f01496a/

To check status programmatically (no auth required): 

curl -s https://repobility.com/api/v1/public/scan/cf255219-5b4f-442d-b6ef-71756f01496a/

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.