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.

ourresearch/openalex-elastic-api

https://github.com/ourresearch/openalex-elastic-api · scanned 2026-06-16 04:35 UTC (1 month, 4 weeks ago)

7 raw signals (0 security + 7 graph)

File as issue Image

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 month, 4 weeks ago · v1 · 7 actionable findings from 1 signal source. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON

66.7% cov · 7 findings

Severity distribution — click a segment to filter

Active filters: severity: low × excluding tests × Reset all

Severity: Critical 0 High 0 Medium 1 Low 5 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 7 Crowd 0 Layer: Software 1 Api 1 Security 1 Quality 4

Exclude dismissed / FP Exclude test files

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 93.0/100 with 66.7% coverage. It contains 28 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 7 findings — concentrated in quality (4), software (1), api (1). Risk profile is low: 0 critical, 0 high, 1 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 5 of 7 actionable findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

low System graph quality Production readiness conf 1.00 Composite production-readiness gap

Multiple low-cost hardening controls are missing together: ci, operator-readme. Opus verification showed these co-occurring gaps are a better readiness signal than reading each flag in isolation.

Repo hardeningGenerated repo pattern

low System graph quality Tests conf 1.00 Low test-to-source ratio

1 tests / 6 src (ratio 0.17).

low System graph quality Integrity conf 1.00 Old/deprecated-named symbol `test_openai_responses_v2` in test_openai_responses.py:5

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: handle_exception

No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.

app.py:137

low System graph quality Docs conf 1.00 README lacks setup or run instructions

A README exists, but it does not contain common install/setup/run markers. This matches a frequent generated-code pattern: UI is present, operational handoff is thin.

ReadmeRepo hardeningGenerated repo pattern

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/3d858b16-5aaa-49c2-b1b6-01794d3e25d1/

To check status programmatically (no auth required):

curl -s https://repobility.com/api/v1/public/scan/3d858b16-5aaa-49c2-b1b6-01794d3e25d1/

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.