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sharkyger/mcp-safe-fetch

https://github.com/sharkyger/mcp-safe-fetch · scanned 2026-06-16 00:09 UTC (2 months, 2 weeks ago)

15 raw signals (0 security + 15 graph)

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Complete repo analysis

Last scanned 2 months, 2 weeks ago · v1 · 14 actionable findings from 1 signal source. 1 repeated signal grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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77.8% cov · 14 findings

Severity distribution — click a segment to filter

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Severity: Critical 0 High 0 Medium 3 Low 6 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 14 Crowd 0 Layer: Software 3 Hardware 1 Frontend 1 Security 1 Cicd 1 Quality 7

Exclude dismissed / FP Exclude test files

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Scan summary Repository scanned at 80.8/100 with 77.8% coverage. It contains 204 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 15 findings — concentrated in quality (8), software (3), hardware (1). 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 14 actionable findings. 15 raw detector signals were grouped into reader-sized issues. 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 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 cicd CI/CD security conf 1.00 GitHub Actions workflow grants broad write permissions

CI tokens with write permissions increase blast radius when an action, dependency, or PR workflow is compromised. Prefer job-level least-privilege permissions.

.github/workflows/docker.yml CI/CD securitySupply chainGithub actions

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

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 Integrity conf 1.00 2 occurrences Near-duplicate function bodies in 2 places

Functions with the same first-5-line body hash: src/mcp_safe_fetch/sanitizer.py:sanitize_unicode, src/mcp_safe_fetch/sanitizer.py:sanitize This is *the* AI-coder failure mode (4× more duplication in vibe-coded repos — see https://jw.hn/ai-code-hygiene). Consolidate or document why they're separate.

2 occurrences

repo-level (2 hits)

duplicatesduplication

low System graph software Dead code conf 1.00 Possibly dead Python function: connect

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

src/mcp_safe_fetch/server.py:195

low System graph software Dead code conf 1.00 Possibly dead Python function: looks_like_html

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

src/mcp_safe_fetch/sanitizer.py:456

low System graph software Dead code conf 1.00 Possibly dead Python function: sanitize_unicode

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

src/mcp_safe_fetch/sanitizer.py:510

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

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