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Agent skill

Ds Full Pipeline

by OpenLAIR in OpenLAIR/dr-claw

Full DeepScientist research pipeline: scout → baseline → idea → experiment → analysis → optimize → write → review → finalize.

MITAuto-check passed

Install Ds Full Pipeline

skills CLI
$ npx skills add OpenLAIR/dr-claw --skill ds-full-pipeline -a claude-code

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

GitHub CLI
$ gh skill install OpenLAIR/dr-claw ds-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/OpenLAIR/dr-claw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ds-full-pipeline .claude/skills/ds-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
ds-full-pipeline
GitHub stars
1.2k
Token cost
~879 tokens
SKILL.md length
377 words
Files
1
Skills in repo
36
Repo updated
First seen
Licence
MIT

At a glance

Full DeepScientist research pipeline: scout → baseline → idea → experiment → analysis → optimize → write → review → finalize.

  • Works in 9 steps: Scout → Baseline → Idea → …
  • SKILL.md covers Overview, Pipeline, Key Rules and Typical Timeline
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ds Full Pipeline is an agent skill from OpenLAIR/dr-claw. Full DeepScientist research pipeline: scout → baseline → idea → experiment → analysis → optimize → write → review → finalize. End-to-end autonomous research lifecycle.

Its SKILL.md is about 880 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: A Super AI Lab with massive AI Doctors as Assistants. Best IDE for Research via AI Power. The licence is MIT.

Example prompts

  • “/ds-full-pipeline”

Workflow steps

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

  1. Scout
  2. Baseline
  3. Idea
  4. Experiment
  5. Analysis Campaign
  6. Optimize (Optional)
  7. Write
  8. Review
  9. Finalize

What it can do on your machine

Read from SKILL.md and the folder at commit d51b64e. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Ds Full Pipeline loads about 879 tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 377 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~46
When it runs · the whole SKILL.md, loaded when a task matches
~879

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 passed

The automated check found no risky patterns in SKILL.md.

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

The full file from OpenLAIR/dr-claw at commit d51b64e, republished under its MIT licence (© OpenLAIR). 377 words, ~879 tokens.

Download SKILL.mdSave it as .claude/skills/ds-full-pipeline/SKILL.md (or your agent's skills folder).
name
ds-full-pipeline
description
Full DeepScientist research pipeline: scout → baseline → idea → experiment → analysis → optimize → write → review → finalize. End-to-end autonomous research lifecycle.
license
MIT
metadata.author
ResearAI/DeepScientist
metadata.version
1.0.0

DeepScientist Full Pipeline

End-to-end autonomous research workflow for: $ARGUMENTS

Overview

This skill chains all DeepScientist research stages into a single pipeline:

/ds-scout → /ds-baseline → /ds-idea → /ds-experiment → /ds-analysis-campaign → /ds-optimize → /ds-write → /ds-review → /ds-finalize

Pipeline

Stage 1: Scout

Frame the research problem, survey literature, identify datasets/metrics, discover existing baselines.

/ds-scout "$ARGUMENTS"

Output: Problem framing, literature map, baseline shortlist, evaluation contract.

🚦 Gate 1: Present the research landscape to the user. Wait for confirmation before proceeding.

Stage 2: Baseline

Reproduce or import the most relevant baseline from Stage 1's shortlist.

/ds-baseline

Output: Working baseline with verified metrics, comparability contract.

Stage 3: Idea

Generate concrete research hypotheses based on the literature gaps and baseline analysis.

/ds-idea

Output: Ranked candidate ideas with selection rationale.

🚦 Gate 2: Present top ideas to the user. Wait for confirmation of which idea to pursue.

Stage 4: Experiment

Implement and run the main experiment for the selected idea.

/ds-experiment

Output: Experiment code, results, evidence artifacts.

Stage 5: Analysis Campaign

Run follow-up experiments: ablations, robustness checks, error analysis.

/ds-analysis-campaign

Output: Ablation results, robustness data, writing-facing evidence slices.

Stage 6: Optimize (Optional)

If results are promising but not yet strong enough, run algorithm-first iterative improvement.

/ds-optimize

Skip this stage if main experiment results already meet the success criteria.

Stage 7: Write

Draft the paper from accepted evidence.

/ds-write

Output: LaTeX paper draft with figures and references.

Stage 8: Review

Run an independent skeptical audit of the draft.

/ds-review

Output: Review report with severity-graded feedback.

If review identifies critical issues → fix and re-review (max 2 rounds).

Show full SKILL.md (145 more words)Show less
Stage 9: Finalize

Consolidate final claims, limitations, and recommendations.

/ds-finalize

Output: Final paper, summary state, resume packet.

Key Rules

  • Gate checkpoints after Scout and Idea stages. Do not proceed without user confirmation on research direction and idea selection.
  • Stages 4-9 can run autonomously once the user confirms the idea.
  • Evidence-first writing. Every claim in the paper must trace to an experiment artifact.
  • Fail gracefully. If any stage fails, report clearly and suggest alternatives rather than forcing forward.
  • Git as memory. Commit after each stage so progress is durable.

Typical Timeline

StageDurationAutonomous?
1. Scout20-40 minWait for Gate 1
2. Baseline15-60 minYes
3. Idea15-30 minWait for Gate 2
4. Experiment30 min - hoursYes
5. Analysis30-60 minYes
6. Optimize0-60 minYes (optional)
7. Write30-60 minYes
8. Review15-30 minYes
9. Finalize10-20 minYes

© OpenLAIR, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/ds-full-pipeline of OpenLAIR/dr-claw.

Open the folder on GitHubat commit d51b64e

Compare with similar skills

Ds 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.

Ds Full Pipeline compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ds Full Pipeline this skillOpenLAIR/dr-claw1.2k—~879Automated safety check: PassMIT
Signals Scout ExperimentsPostHog/posthog40k—~8kAutomated safety check: PassCustom licence
Finding ExperimentsPostHog/posthog40k—~826Automated safety check: PassCustom licence
ExperimentsArize-ai/phoenix12k—~1.8kAutomated safety check: PassCustom licence
Scroll Experiencesickn33/agentic-awesome-skills47k2 repos~534Automated safety check: PassMIT
Idea Darwinsickn33/agentic-awesome-skills47k2 repos~1.1kAutomated safety check: PassMIT

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Questions about Ds Full Pipeline

What does Ds Full Pipeline do?

Full DeepScientist research pipeline: scout → baseline → idea → experiment → analysis → optimize → write → review → finalize. Ds Full Pipeline is an agent skill from OpenLAIR/dr-claw. Full DeepScientist research pipeline: scout → baseline → idea → experiment → analysis → optimize → write → review → finalize.

How do I install Ds Full Pipeline in Claude Code?

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

How do I install Ds Full Pipeline in Codex?

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

Can I use Ds 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 OpenLAIR/dr-claw --skill ds-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/ds-full-pipeline, .gemini/skills/ds-full-pipeline, .github/skills/ds-full-pipeline and .opencode/skills/ds-full-pipeline in your project.

What does Ds Full Pipeline need to run?

SKILL.md names no scripts, command-line tools or credentials: Ds Full Pipeline is instructions for the agent only.

Does Ds 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 Ds Full Pipeline safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ds Full Pipeline use?

Ds Full Pipeline is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ds Full Pipeline use?

About 879 tokens (SKILL.md is roughly 3.5k 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 Ds Full Pipeline?

Skills that share tags, products or a category with Ds Full Pipeline: Signals Scout Experiments (PostHog/posthog, 40k stars), Finding Experiments (PostHog/posthog, 40k stars), Experiments (Arize-ai/phoenix, 12k stars) and Scroll Experience (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ds Full Pipeline?

OpenLAIR (a GitHub organization) maintains it in OpenLAIR/dr-claw, which has 1,155 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on September 17, 2026.

Source: OpenLAIR/dr-claw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.