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TheDeveloperAAA/battery-fastcharging-ml

https://github.com/TheDeveloperAAA/battery-fastcharging-ml · scanned 2026-06-16 00:33 UTC (2 months, 2 weeks ago)

21 raw signals (0 security + 21 graph)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months, 2 weeks ago · v1 · 21 actionable findings from 1 signal source. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
81.4
/100
Security checks
81
0 findings
System graph
81
77.8% cov · 21 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 4 Low 15 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 21 Crowd 0 Layer: Software 8 Hardware 2 Frontend 1 Security 1 Cicd 1 Quality 8
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Scan summary Repository scanned at 81.4/100 with 77.8% coverage. It contains 175 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 21 findings — concentrated in software (8), quality (8), hardware (2). Risk profile is low: 0 critical, 0 high, 4 medium. Recommended next step: open the software layer findings first — that's where the highest-impact wins live.

Showing 19 of 21 actionable findings. 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 authority lacks a verifier contract: .claude/launch.json
This agent instruction grants code or shell authority but does not state the verification gate that decides promotion. The recurring safe pattern is: LLM proposes; deterministic tests/build/security checks verify; only verified code promotes.
.claude/launch.json VerificationClaude instruction
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. 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 security Coverage conf 1.00 No auth library detected
The scanner did not find any standard auth library (JWT, OAuth, NextAuth, Auth0, etc.). The repo has auth/admin/session surface indicators, so auth may live in custom code, in a separate service, or be missing.
auth
medium System graph cicd CI/CD security conf 1.00 No CI/CD pipelines detected
No GitHub Actions, GitLab CI, or CircleCI configs found. Without CI you can't gate deploys on tests/lints.
CI/CD securityCoverage
low System graph quality Production readiness conf 1.00 Composite production-readiness gap
Multiple low-cost hardening controls are missing together: license, ci. 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 hardware Coverage conf 1.00 Containers defined but no K8s/orchestration manifest found
Repo has Dockerfiles/compose but no Kubernetes/Nomad manifests. If the target deployment is K8s, the manifests may live in a separate ops repo.
Deployment
low System graph quality Debug conf 1.00 Debug logging residue appears in source files
Found 36 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 hardware Supply chain conf 1.00 Docker base image is tag-pinned but not digest-pinned: python:3.12-slim
Container tags can be retagged upstream. Pin production base images to a reviewed digest (`image@sha256:...`) when reproducibility and supply-chain integrity matter.
app/Dockerfile:4 containersPinned dependencies
low System graph quality Tests conf 1.00 Low test-to-source ratio
4 tests / 22 src (ratio 0.18).
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 software Dead code conf 1.00 Possibly dead Python function: clone_unfitted
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
src/models/baseline.py:52
low System graph software Dead code conf 1.00 Possibly dead Python function: component_predictions
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
src/models/ensemble.py:50
low System graph software Dead code conf 1.00 Possibly dead Python function: footer
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
docs/build_guide.py:120
low System graph software Dead code conf 1.00 Possibly dead Python function: forward
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
src/models/sequence.py:56
low System graph software Dead code conf 1.00 Possibly dead Python function: objective
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
src/models/gbm.py:77
low System graph software Dead code conf 1.00 Possibly dead Python function: objective
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
src/optim/protocol_opt.py:175
low System graph software Dead code conf 1.00 Possibly dead Python function: scalar_view
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
src/models/feature_matrix.py:84
low System graph software Dead code conf 1.00 Possibly dead Python function: seq_view
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
src/models/feature_matrix.py:88
low System graph quality Provenance conf 1.00 Shallow git history limits provenance confidence
The repository is a shallow clone. Origin/evolution analysis cannot distinguish fresh generation, imported legacy code, or long-lived human code with high confidence.
Git historyGenerated 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.
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