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timwhudson/cfo-bot-litellm

https://github.com/timwhudson/cfo-bot-litellm · scanned 2026-06-16 02:57 UTC (2 months ago)

12 raw signals (0 security + 12 graph)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months ago · v2 · 12 actionable findings from 1 signal source. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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Severity distribution — click a segment to filter
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Scan summary Repository scanned at 85.3/100 with 100.0% coverage. It contains 22 nodes across 2 cross-layer flows, written primarily in mixed languages. Engine surfaced 12 findings — concentrated in quality (5), hardware (3), api (2). 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 9 of 12 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 hardware Security conf 1.00 Dockerfile runs as root: Dockerfile
No non-root USER set. Containers running as root expand the blast radius of any vulnerability inside the image.
Container
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
medium System graph quality Tests conf 1.00 Very low test-to-source ratio
0 test file(s) for 1 source file(s) (ratio 0.00). Consider adding integration or unit tests for critical paths.
Coverage
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 hardware Supply chain conf 1.00 Docker base image is tag-pinned but not digest-pinned: ghcr.io/berriai/litellm:main-stable
Container tags can be retagged upstream. Pin production base images to a reviewed digest (`image@sha256:...`) when reproducibility and supply-chain integrity matter.
Dockerfile:11 containersPinned dependencies
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 api Wiring conf 1.00 Unused endpoint: GET /dl-health
`server.py` declares `GET /dl-health` but no frontend code we scanned calls it. This is fine if the endpoint serves external clients (mobile app, third-party, server-side webhooks). Otherwise it's dead code — consider removing or documenting who consumes it.
Unused endpoint
low System graph api Wiring conf 1.00 Unused endpoint: GET /dl/{token}
`server.py` declares `GET /dl/{token}` but no frontend code we scanned calls it. This is fine if the endpoint serves external clients (mobile app, third-party, server-side webhooks). Otherwise it's dead code — consider removing or documenting who consumes it.
Unused endpoint
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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