lllllllama/rigorpilot-skills

analyze-project

Rigor Analyze / Rigor Audit read-only skill for deep learning research repositories.

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analyze-project

Use this as the Rigor Analyze / Rigor Audit read-only skill. The installed slug remains analyze-project for compatibility.

Use the shared operating principles in ../../references/agent-operating-principles.md; this skill should guide read-only analysis without constraining the model's project-specific reasoning.

When to apply

  • The user wants to understand a deep learning repository before changing it.
  • The user needs a map of model structure, training entrypoints, inference entrypoints, and config relationships.
  • The user wants conservative suggestions about likely insertion points or suspicious implementation patterns.
  • The user explicitly wants read-only analysis and not heavy execution.

When not to apply

  • When the main task is to execute a failing command or debug a traceback.
  • When the user wants environment setup or asset download only.
  • When the user wants speculative adaptation or broad exploratory patching.
  • When the task is a general literature summary without repository analysis.

Clear boundaries

  • This skill is read-mostly.
  • It may run lightweight static inspection helpers.
  • It does not patch repository code.
  • It does not own final reproduction outputs.
  • It should mark suspicious patterns as heuristics, not confirmed bugs.

Output expectations

  • analysis_outputs/SUMMARY.md
  • analysis_outputs/RISKS.md
  • analysis_outputs/status.json

Notes

Use references/analysis-policy.md and the shared ../../references/research-pitfall-checklist.md.

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paper-context-resolver

Rigor Paper Context helper for README-first deep learning repo reproduction. Use only when the README and repository files leave a narrow reproduction-critical gap and the task is to resolve a specific paper detail such as dataset split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumption from primary paper sources while recording conflicts. Do not use for general paper summary, repo scanning, environment setup, command execution, title-only paper lookup, or replacing README guidance by default.

安装量
45.1万
GitHub Stars
480
最近更新
7月26日
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env-and-assets-bootstrap

Rigor Setup skill for README-first deep learning repo reproduction. Use when the task is specifically to prepare a conservative conda-first environment, checkpoint and dataset path assumptions, cache location hints, and setup notes before any run on a README-documented repository. Do not use for repo scanning, full orchestration, paper interpretation, final run reporting, or generic environment setup that is not tied to a specific reproduction target.

安装量
45万
GitHub Stars
480
最近更新
7月26日
lllllllama
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minimal-run-and-audit

Rigor Run skill for README-first deep learning repo reproduction. Use when the task is specifically to capture or normalize evidence from the selected smoke test or documented inference or evaluation command and write standardized reprooutputs/ files, including patch notes when repository files changed. Do not use for training execution, initial repo intake, generic environment setup, paper lookup, target selection, hidden scientific-meaning changes, or end-to-end orchestration by itself.

安装量
45万
GitHub Stars
480
最近更新
7月26日
lllllllama
社区

repo-intake-and-plan

Rigor Intake helper for README-first deep learning repo reproduction. Use when the task is specifically to scan a repository, read the README and common project files, extract documented commands, classify inference, evaluation, and training candidates, and return the smallest trustworthy reproduction plan to the main orchestrator. Do not use for environment setup, asset download, command execution, final reporting, paper lookup, or end-to-end orchestration.

安装量
45万
GitHub Stars
480
最近更新
7月26日