macOS26/Agent

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https://github.com/macOS26/Agent.git · scanned 2026-05-16 02:09 UTC (2 weeks, 6 days ago) · 10 languages

20 findings (15 legacy + 5 scanner) Scanner says 100 (lower by 49)

File as issue Image v2 schema

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 weeks, 6 days ago · v1 · 15 findings from 1 source. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

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Score breakdown â 2026-05-14-v3

Component	Sub-score	Weight	Contribution
`structure_score`	40.0	0.15	6.00
`security_score`	100.0	0.25	25.00
`testing_score`	0.0	0.20	0.00
`documentation_score`	59.6	0.15	8.94
`practices_score`	40.0	0.15	6.00
`code_quality`	50.0	0.10	5.00
Overall		1.00	50.9

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 0 High 12 Medium 0 Low 1 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 15 9-layer 0 Crowd 0 Layer: Quality 15

Exclude dismissed / FP Exclude test files

Bug-class explainers. Each card groups findings of the same shape — these are the patterns most likely to ship to prod and reappear in future scans unless you systematically fix the cause, not just the instance.

Fragile runtime 13 findings

What it is: Code that runs but breaks under predictable input — division by zero, missing keys, unbounded loops, off-by-one slicing.

Why it matters: Reaches production undetected because happy-path tests pass. First user with a weird input crashes the request.

How AI causes it: AI loves writing the happy path; doesn't probe edge cases unless explicitly asked.

Fix approach: Add property-based tests. Wrap external inputs with explicit validators. Use the framework's typed deserializer (Pydantic, attrs).

12 matching findings on this repo

medium Duplicated implementation block across source files Agent/Services/OllamaService.swift:83
medium Duplicated implementation block across source files Agent/Services/FoundationModelService.swift:27
medium Duplicated implementation block across source files Agent/AgentViewModel/TaskUtilities/WebToolHandler…:28
medium Duplicated implementation block across source files Agent/AgentViewModel/TaskExecution/TaskExecution.…:101
medium Duplicated implementation block across source files Agent/AgentViewModel/TaskExecution/Response.swift:52
medium Duplicated implementation block across source files Agent/AgentViewModel/TaskExecution/FileTools.swift:192
medium Duplicated implementation block across source files Agent/AgentViewModel/TaskExecution/ErrorHandler.s…:88
medium Duplicated implementation block across source files Agent/AgentViewModel/TabHandlers/Git.swift:69
medium Duplicated implementation block across source files Agent/AgentViewModel/TabHandlers/Automation.swift:35
medium Duplicated implementation block across source files Agent/AgentViewModel/TabHandlers/AgentScript.swift:35
medium Duplicated implementation block across source files Agent/AgentViewModel/Messages/Logging.swift:431
medium Duplicated implementation block across source files Agent/AgentViewModel/Core/Init.swift:9

View all fragile runtime findings →

Config drift 1 finding

What it is: Settings duplicated across env files, Docker compose, K8s, and code defaults, all with slightly different values.

Why it matters: Production behaviour depends on whichever copy your loader reads first. Subtle bugs in staging that don't reproduce in dev.

How AI causes it: AI writes new config from memory rather than reading the existing source.

Fix approach: Pick one source of truth (env vars + a settings module). Have every other place import from there. Lint for duplicates in CI.

1 matching finding on this repo

medium No CI/CD configuration found

View all config drift findings →

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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