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kakashi-ventures/shuby

https://github.com/kakashi-ventures/shuby · scanned 2026-06-16 04:29 UTC (2 months ago)

9 raw signals (0 security + 9 graph)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months ago · v1 · 9 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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Scan summary Repository scanned at 65.9/100 with 77.8% coverage. It contains 27 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 9 findings — concentrated in quality (5), network (1), hardware (1). Risk profile is high: 0 critical, 1 high, 5 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 9 of 9 actionable findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

high System graph security Agent instructions conf 1.00 Agent instruction/config may expose a secret: CLAUDE.md
Agent-facing files are routinely pasted into LLM/tool contexts. Move literal tokens, keys, and passwords into a secret manager or document them as placeholders only.
CLAUDE.md:59 SecretsClaude instruction
medium System graph quality Agent instructions conf 1.00 Agent authority lacks a verifier contract: .mcp.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.
.mcp.json VerificationMcp config
medium System graph quality Agent instructions conf 1.00 Agent authority lacks a verifier contract: CLAUDE.md
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.md 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 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 network Security conf 1.00 Privileged port 1000 in use
Port 1000 is privileged (<1024). Make sure the service runs with the right caps or front it with a non-privileged port via a load balancer.
Dockerfile Ports
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 Supply chain conf 1.00 Docker base image is tag-pinned but not digest-pinned: registry.docker.com/library/ruby:$RUBY_VERSION-slim
Container tags can be retagged upstream. Pin production base images to a reviewed digest (`image@sha256:...`) when reproducibility and supply-chain integrity matter.
Dockerfile:12 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
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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