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.

z3d/Starter-App-Dotnet-0

https://github.com/z3d/Starter-App-Dotnet-0 · scanned 2026-06-16 01:10 UTC (2 months, 1 week ago)

11 raw signals (0 security + 11 graph)

File as issue Image

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months, 1 week ago · v1 · 11 actionable findings from 1 signal source. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON

88.9% cov · 11 findings

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 0 High 1 Medium 5 Low 2 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 11 Crowd 0 Layer: Network 1 Hardware 1 Frontend 1 Quality 6 Security 2

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 66.7/100 with 88.9% coverage. It contains 525 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 11 findings — concentrated in quality (6), security (2), network (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 8 of 11 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/skills/data-access/SKILL.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/skills/data-access/SKILL.md:99 SecretsClaude instruction

medium System graph quality Agent instructions conf 1.00 Agent authority lacks a verifier contract: .claude/skills/api-design/SKILL.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/skills/api-design/SKILL.md VerificationClaude instruction

medium System graph quality Agent instructions conf 1.00 Agent authority lacks a verifier contract: .claude/skills/cqrs-patterns/SKILL.md

.claude/skills/cqrs-patterns/SKILL.md VerificationClaude instruction

medium System graph security Agent instructions conf 1.00 Agent instruction contains unpinned remote install: .claude/skills/development-workflow/SKILL.md

Remote install commands in agent instructions are a supply-chain risk, especially when an agent can execute shell commands.

.claude/skills/development-workflow/SKILL.md:176 Supply chainClaude instruction

medium System graph quality Placeholder conf 1.00 Critical user flow still appears backed by mock or placeholder data

A payment/auth/admin/order/billing-style flow contains mock, fake, TODO, dummy, or placeholder markers in runtime source. In the Fable corpus this is a high-leverage completeness smell: the app can look finished while the money, identity, or tenant flow is still scaffolded.

Mock dataCritical flowGenerated repo pattern

medium System graph network Security conf 1.00 Privileged port 548 in use

Port 548 is privileged (<1024). Make sure the service runs with the right caps or front it with a non-privileged port via a load balancer.

src/StarterApp.Api/Dockerfile Ports

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 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.

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/b30424eb-3054-4192-b58c-b2d8f0fb0efc/

To check status programmatically (no auth required):

curl -s https://repobility.com/api/v1/public/scan/b30424eb-3054-4192-b58c-b2d8f0fb0efc/

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.