research-units-pipeline-skills
Health Uyari
- No license — Repository has no license file
- Description — Repository has a description
- Active repo — Last push 0 days ago
- Community trust — 398 GitHub stars
Code Gecti
- Code scan — Scanned 12 files during light audit, no dangerous patterns found
Permissions Gecti
- Permissions — No dangerous permissions requested
This Python-based skill transforms research workflows into structured, reusable pipelines. It uses an artifact-first methodology with defined stages, checkpoints, and guardrails to generate literature surveys, brainstorm research ideas, and restructure academic papers.
Security Assessment
Overall risk: Low. The light code audit scanned 12 files and found no dangerous patterns, hardcoded secrets, or requests for dangerous permissions. The tool focuses strictly on local file manipulation within designated workspaces for writing and organizing research artifacts. It does not appear to access sensitive user data, execute arbitrary shell commands, or make suspicious network requests.
Quality Assessment
The project is actively maintained and in good health, with its last push occurring today. It demonstrates strong community trust, evidenced by nearly 400 GitHub stars. The repository includes a clear description, bilingual documentation, and a well-structured architecture. However, it is missing an explicit license file, which is a notable drawback. Without a defined license, strict copyright applies by default, meaning other developers do not have formal legal permission to modify, distribute, or use the code in their own projects.
Verdict
Safe to use, but use with caution regarding formal integration due to the missing software license.
Research pipelines as semantic execution units: each skill declares inputs/outputs, acceptance criteria, and guardrails. Evidence-first methodology prevents hollow writing through structured intermediate artifacts.
research-units-pipeline-skills
Languages: English | 简体中文
This project uses semantic skills to turn research workflows into reusable pipelines.
It is designed for the space between fragile prompting and overly rigid scripting. By organizing research tasks into staged pipelines with explicit artifacts, checkpoints, and guardrails, it makes complex work more reusable, inspectable, and iterative. The result is a workflow that can be resumed, audited, and continuously improved instead of being rebuilt from scratch each time.
What This Repo Covers
The codebase currently centers on three workflows:
| Workflow | Use it for | Default deliverable | English | 中文 |
|---|---|---|---|---|
latex-survey |
evidence-first literature surveys with optional LaTeX/PDF delivery | output/DRAFT.md, latex/main.tex, latex/main.pdf |
Guide | 说明 |
idea-brainstorm |
literature-grounded research direction discovery and discussion memos | output/REPORT.md |
Guide | 说明 |
graduate-paper |
restructuring an existing Chinese graduation thesis project into a thesis engineering workflow | pipeline + thesis skill packages | Guide | 说明 |
These workflows share the same architecture:
pipelines/defines stage contracts, artifact expectations, and required skills..codex/skills/holds the reusable skills. (100 skills)workspaces/stores per-run artifacts and intermediate outputs.readme/contains feature-level documentation.
Core Concepts
Pipeline: the contract for a workflow. It defines stages, artifacts, checkpoints, and required skills.Skill: a reusable capability with explicit inputs, outputs, acceptance criteria, and guardrails.Workspace: the working directory for a single run underworkspaces/<name>/, where generated artifacts are written.
The important design choice is artifact-first execution. The model is not expected to keep the whole workflow in memory; it writes intermediate structure, evidence, and review outputs to disk so later stages can build on them.
When To Use Which Workflow
Use latex-survey when the goal is a serious review paper with explicit retrieval, structure review, evidence packs, writing loops, and optional PDF output.
Use idea-brainstorm when the goal is to generate a literature-backed memo of candidate research directions for discussion, not to write a paper yet.
Use graduate-paper when you already have thesis materials such as a template, existing TeX, Overleaf drafts, PDFs, figures, or prior papers, and need to reorganize them into a Chinese degree thesis workflow. This path is currently the least automated of the three.
How To Use The Repo
- Start Codex in this repository.
- Choose a workflow, or describe the outcome you want.
- Let the selected pipeline write artifacts into a workspace.
- Inspect the generated files at the relevant checkpoint before continuing.
Typical prompts:
Write a LaTeX survey about embodied AI and show me the outline first.
Brainstorm literature-grounded research ideas around embodied agents for home robotics.
Use the graduate-paper workflow to reorganize my Chinese thesis materials before rewriting chapters.
If you want tighter control, pin the pipeline directly:
- pipelines/arxiv-survey.pipeline.md
- pipelines/arxiv-survey-latex.pipeline.md
- pipelines/idea-brainstorm.pipeline.md
- pipelines/graduate-paper-pipeline.md
Recommended Reading Path
- Read this file for the repo-level picture.
- Open the feature guide that matches your task and language.
- Open the matching pipeline contract under
pipelines/. - Inspect the relevant skills under
.codex/skills/if you need to change behavior rather than just run it.
Documentation Map
Feature guides:
| Workflow | English | 中文 |
|---|---|---|
latex-survey |
readme/latex-survey.md | readme/latex-survey.zh-CN.md |
idea-brainstorm |
readme/idea-brainstorm.md | readme/idea-brainstorm.zh-CN.md |
graduate-paper |
readme/graduate-paper.md | readme/graduate-paper.zh-CN.md |
Project references:
Legacy language-specific copies of the older survey-focused README still live under readme/README.*.md. They are reference material, not the primary entrypoint.
Current Status
latex-surveyis the most complete writing pipeline in the repo and the main path when the deliverable is a survey paper or PDF.idea-brainstormis structured and executable, but optimized for discussion-ready idea memos rather than paper drafting.graduate-papernow has a clearer pipeline design and a first batch of thesis-oriented skills, but it should currently be treated as a guided workflow framework rather than a fully automated thesis runner.
Star History
Yorumlar (0)
Yorum birakmak icin giris yap.
Yorum birakSonuc bulunamadi