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traylinx/garagetytus

https://github.com/traylinx/garagetytus · scanned 2026-06-16 00:41 UTC (2 months, 1 week ago)

12 raw signals (0 security + 12 graph)

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Complete repo analysis

Last scanned 2 months, 1 week ago · v1 · 12 actionable findings from 1 signal source. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

JSON
Combined
88.7
/100
Security checks
89
0 findings
System graph
89
88.9% cov · 12 findings
Critical
0
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Agents
10
0 votes
Crowd
0
reported
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 1 Medium 3 Low 6 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 12 Crowd 0 Layer: Software 3 Frontend 1 Security 3 Quality 5
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Scan summary Repository scanned at 88.7/100 with 88.9% coverage. It contains 184 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 12 findings — concentrated in quality (5), software (3), security (3). Risk profile is high: 0 critical, 1 high, 3 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 10 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.

high System graph security Agent instructions conf 1.00 Agent instruction/config may expose a secret: skills/garagetytus-shared-folder/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.
skills/garagetytus-shared-folder/SKILL.md:222 SecretsSkill file
medium System graph security Agent instructions conf 1.00 Agent instruction contains unpinned remote install: skills/garagetytus-install/SKILL.md
Remote install commands in agent instructions are a supply-chain risk, especially when an agent can execute shell commands.
skills/garagetytus-install/SKILL.md:108 Supply chainSkill file
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 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 quality Tests conf 1.00 Low test-to-source ratio
4 tests / 24 src (ratio 0.17).
low System graph quality Integrity conf 1.00 Old/deprecated-named symbol `list_objects_v2` in sdk/python/src/garagetytus/__init__.py:294
Names with suffixes like `_old`, `_v1`, `_deprecated` usually indicate replaced-but-not-removed code (typical AI-coder leftover). Confirm and delete, or rename if it's the active version.
old markerDead code
low System graph software Dead code conf 1.00 Possibly dead Python function: list
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
sdk/python/src/garagetytus/__init__.py:293
low System graph software Dead code conf 1.00 Possibly dead Python function: presign
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
sdk/python/src/garagetytus/__init__.py:303
low System graph software Dead code conf 1.00 Possibly dead Python function: put
No callers detected by AST scan in this repo. Could be exported for external callers or a framework handler.
sdk/python/src/garagetytus/__init__.py:281
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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