p-e-w/heretic

1 other commands the scanner could not classify

Commands from CI steps and task runners that look like checks but match no known tool. Some are checks, some are not.

• ty check --output-format=github --error-on-warning .

full scan as JSON

• Configuration ownership and determinismSummary - Ensure configuration is explicit, owned by the correct component (application vs plugin), and deterministic so behavior is pred...

  p-e-w/heretic Configurations Python ml-systems 2026-02-01

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• Model integration rulesWhen adding or changing model loading, quantization, LoRA/abliteration logic, or merging behavior, follow these explicit rules to ensure ...

  p-e-w/heretic AI Python ml-systems 2026-02-01

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• Consistent module organizationKeep code organized by responsibility and centralize reusable logic. Concretely: - Centralize helpers: move shared implementations (plugi...

  p-e-w/heretic Code Style Python ml-systems 2026-01-26

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• Use clear namesRule: choose concise, semantically accurate, and responsibility-respecting names for identifiers (variables, functions, classes, modules)...

  p-e-w/heretic Naming Conventions Python ml-systems 2026-02-11

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• Surface errors clearlyRule: Fail fast, validate assumptions, and distinguish user cancellation. Motivation - Hidden or silently handled errors lead to incorrec...

  p-e-w/heretic Error Handling Python ml-systems 2026-01-20

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• plugin contract APIDefine a clear, minimal plugin contract and loader API for all external/ built-in plugins. Motivation: plugins (taggers/scorers) are the ...

  p-e-w/heretic API Python ml-systems 2026-01-29

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• Manage tensors proactivelyMotivation: Large models and matrix ops can produce big ephemeral tensors, cross-device copies, and temporary allocations that lead to ex...

  p-e-w/heretic Performance Optimization Python ml-systems 2026-01-30

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• Config schema conventionsProvide a clear, stable, and discoverable configuration schema. Apply the following rules to all TOML/environment configs: 1) Use self-do...

  p-e-w/heretic Configurations Toml ml-systems 2026-01-26

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• Handle nullable valuesTreat None/absent values explicitly and guard attribute access. Motivation: user input, storage APIs, optional configuration, and runtime...

  p-e-w/heretic Null Handling Python ml-systems 2026-01-20

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• preserve dtype and shapesWhen writing PyTorch code, preserve tensor dtypes and devices and be explicit about vector/matrix shapes to avoid precision loss, incorre...

  p-e-w/heretic Pytorch Python ml-systems 2025-12-14

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• Optimization algorithm compatibilityWhen implementing or changing optimization code (samplers, objectives, and result selection), ensure algorithmic correctness, preserve sa...

  p-e-w/heretic Algorithms Python ml-systems 2026-01-20

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• consistent identifier namingPrefer clear, consistent, and semantic names for variables, classes,\ \ config keys, and section labels. Use these concrete rules when na...

  p-e-w/heretic Naming Conventions Toml ml-systems 2026-01-14

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• sanitize filesystem inputsWhen constructing filesystem paths or filenames from external input (model names, user-provided identifiers, etc.), treat those strings a...

  p-e-w/heretic Security Python ml-systems 2026-01-19

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• limit CI tokensAlways prefer the built-in GITHUB_TOKEN, explicitly document why it’s needed, and grant it only the minimum permissions required. For thi...

  p-e-w/heretic Security Yaml ml-systems 2025-12-03

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