Complete 4-stage end-to-end research pipeline. An agent skill from GRIND-Lab-Core/night_owl_research_agent.

No licenceAuto-check: warningsResearch & Science

Install Full Pipeline

The automated check flagged lines worth reading first. See the safety section below.

skills CLI
$ npx skills add GRIND-Lab-Core/night_owl_research_agent --skill full-pipeline -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install GRIND-Lab-Core/night_owl_research_agent full-pipeline --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/GRIND-Lab-Core/night_owl_research_agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/full-pipeline .claude/skills/full-pipeline && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
full-pipeline
GitHub stars
106
Token cost
~3.9k tokens
SKILL.md length
1,589 words
Files
1
Skills in repo
19
Repo updated
First seen
Licence
None found

At a glance

Complete 4-stage end-to-end research pipeline. An agent skill from GRIND-Lab-Core/night_owl_research_agent.

  • Works in 4 steps: Idea Discovery (/idea-discovery-pipeline) → Autonomous Experiment Execution… → Autonomous Review Loop (/auto-review-loop) → …
  • Research & Science work in your project
  • SKILL.md covers Constants, Startup: Load Context, Check &…, Stage 1 — Idea Discovery… and Stage 2 — Autonomous…, plus 4 more sections
  • Calls codex

What it does

Full Pipeline is an agent skill from GRIND-Lab-Core/night_owl_research_agent. Complete 4-stage end-to-end research pipeline. Orchestrates idea-discovery-pipeline → deploy-experiment → auto-review-loop → generate-report. Reads RESEARCHPLAN.md (or BRIEF.md as fallback) for context that overrides $ARGUMENTS.

Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science. It works with arXiv. The repository describes itself as: Fully automatic AI research agent for Geoscientists, Remote Sensing researchers, and GIScientists. Features harness engineering, GeoBenchmark (OLS/GWR/MGWR), journal templates…

When your agent uses it

  • Research & Science work in your project

Example prompts

  • “/full-pipeline”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Idea Discovery (/idea-discovery-pipeline)
  2. Autonomous Experiment Execution (/deploy-experiment)
  3. Autonomous Review Loop (/auto-review-loop)
  4. Report Writing (/generate-report)

What it can do on your machine

Read from SKILL.md and the folder at commit 5f7a246. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • codex

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Full Pipeline loads about 3.9k tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 1,589 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~61
When it runs · the whole SKILL.md, loaded when a task matches
~3.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: warnings

The automated check found patterns that need a careful read before installing.

  • WarningTells the agent its actions are pre-authorized / not to stop for confirmationSKILL.md:240
    t << 'EOF' > file`) to write in chunks. Do NOT ask the user for permission — just do it silently.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 1,589 words (~3,916 tokens).

“End-to-end research pipeline. You are the pipeline conductor — you sequence the four sub-skills, check gates, and persist state across sessions.”

— opening of SKILL.md by GRIND-Lab-Core
name
full-pipeline
tools
all
argument-hint
research-idea-description
flags.COMPACT_MODE
false

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/full-pipeline of GRIND-Lab-Core/night_owl_research_agent.

Open the folder on GitHubat commit 5f7a246

Compare with similar skills

Full Pipeline next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Full Pipeline compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Full Pipeline this skillGRIND-Lab-Core/night_owl_research_agent106—~3.9kAutomated safety check: WarnNone
Read arXiv Paperkarpathy/nanochat59k1 repos~494Automated safety check: PassMIT
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Openalex Databaseneflibata-feng/MyArxiv-Agent12612 repos~3kAutomated safety check: PassCustom licence
Citation Verification GuideGalaxy-Dawn/claude-scholar5.7k2 repos~1.9kAutomated safety check: PassMIT
Citation ManagementK-Dense-AI/claude-scientific-writer2.4k2 repos~3.9kAutomated safety check: NotesMIT

Similar skills

  • Read arXiv Paper

    karpathy/nanochat

    Fetches the TeX source of an arXiv paper from its URL, reads it and writes a markdown summary tied to the nanochat project.

    59k GitHub starsUsed in 1 repo~494 tokens
    Research & ScienceAuto-check passed
  • Literature Review

    neflibata-feng/MyArxiv-Agent

    Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).

    126 GitHub starsUsed in 20 repos~5.9k tokens
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  • Openalex Database

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    Query and analyze scholarly literature using the OpenAlex database.

    126 GitHub starsUsed in 12 repos~3k tokens
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  • Citation Verification Guide

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    Reference guidance for checking every citation in academic writing against canonical sources such as DOI, arXiv, CrossRef and Semantic Scholar, to catch fake or wrong references.

    5.7k GitHub starsUsed in 2 repos~1.9k tokens
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  • Citation Management

    K-Dense-AI/claude-scientific-writer

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    2.4k GitHub starsUsed in 2 repos~3.9k tokens
    Research & ScienceAuto-check: notes
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More from GRIND-Lab-Core/night_owl_research_agent

All 19 skills in this repo
  • Research Review

    GRIND-Lab-Core/night_owl_research_agent

    Get a deep critical review of research idea from GPT via Codex MCP.

    106 GitHub starsUsed in 5 repos~1.1k tokens
    Auto-check: notes
  • Deploy Experiment

    GRIND-Lab-Core/night_owl_research_agent

    Deploy and run experiments for ML/DL training (local, remote, or Modal GPU) AND spatial data science / GIScience experiments (local, data-driven).

    106 GitHub stars~5k tokensUpdated 5 mo ago
    Auto-check: notes
  • Experiment Design

    GRIND-Lab-Core/night_owl_research_agent

    Turn a refined GIScience / remote sensing / spatial data science proposal into a detailed, claim-driven experiment roadmap.

    106 GitHub stars~3.3k tokensUpdated 5 mo ago
    Auto-check: warnings
  • Experiment Design Pipeline

    GRIND-Lab-Core/night_owl_research_agent

    Run an end-to-end workflow that chains the skills refine-research and experiment-design.

    106 GitHub stars~2.1k tokensUpdated 5 mo ago
    Auto-check: warnings
  • Generate Idea

    GRIND-Lab-Core/night_owl_research_agent

    Generate and rank research ideas given a broad direction. An agent skill from GRIND-Lab-Core/night_owl_research_agent.

    106 GitHub stars~3.2k tokensUpdated 5 mo ago
    Auto-check: warnings
  • Data Download

    GRIND-Lab-Core/night_owl_research_agent

    Discover, evaluate, and download publicly available datasets from the internet.

    106 GitHub stars~8.1k tokensUpdated 5 mo ago
    Auto-check: warnings

Works with

Questions about Full Pipeline

What does Full Pipeline do?

Complete 4-stage end-to-end research pipeline. An agent skill from GRIND-Lab-Core/night_owl_research_agent. Full Pipeline is an agent skill from GRIND-Lab-Core/night_owl_research_agent. Complete 4-stage end-to-end research pipeline.

When should I use Full Pipeline?

Full Pipeline fits situations like: research & Science work in your project.

How do I install Full Pipeline in Claude Code?

Run `npx skills add GRIND-Lab-Core/night_owl_research_agent --skill full-pipeline -a claude-code`. Or copy the skill folder (skills/full-pipeline in GRIND-Lab-Core/night_owl_research_agent) into .claude/skills/full-pipeline in your project. Claude Code loads it when a task matches its description.

How do I install Full Pipeline in Codex?

Run `npx skills add GRIND-Lab-Core/night_owl_research_agent --skill full-pipeline -a codex`. Or copy the skill folder (skills/full-pipeline in GRIND-Lab-Core/night_owl_research_agent) into .agents/skills/full-pipeline in your project. Codex loads it when a task matches its description.

Can I use Full Pipeline in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add GRIND-Lab-Core/night_owl_research_agent --skill full-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/full-pipeline, .gemini/skills/full-pipeline, .github/skills/full-pipeline and .opencode/skills/full-pipeline in your project.

What does Full Pipeline need to run?

Going by SKILL.md and its folder, Full Pipeline needs the command-line tools its instructions call (codex).

Does Full Pipeline access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Full Pipeline safe to install?

Our automated static check of SKILL.md flagged 1 warning(s): tells the agent its actions are pre-authorized / not to stop for confirmation. Read the flagged lines before installing; the check is not a guarantee either way.

What licence does Full Pipeline use?

No licence was found for Full Pipeline or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Full Pipeline use?

About 3.9k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Full Pipeline?

Skills that share tags, products or a category with Full Pipeline: Read arXiv Paper (karpathy/nanochat, 59k stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Openalex Database (neflibata-feng/MyArxiv-Agent, 126 stars) and Citation Verification Guide (Galaxy-Dawn/claude-scholar, 5.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Full Pipeline?

GRIND-Lab-Core (a GitHub organization) maintains it in GRIND-Lab-Core/night_owl_research_agent, which has 106 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on May 6, 2026.

Source: GRIND-Lab-Core/night_owl_research_agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.