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deepscientist-windows-wsl-setup

Install, repair, and validate DeepScientist on Windows with WSL2 until the Windows browser can open the DeepScientist Web UI. Use when an agent needs to set up or fix DeepScientist on a Windows machine, including WSL distro creation, Linux-side Node/Python prerequisites, Codex auth/relay configuration, WSL proxy troubleshooting, and final `ds doctor` or Web UI verification.

72

Quality

88%

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SecuritybySnyk

High

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SKILL.md
Quality
Evals
Security

Quality

Content

77%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is highly actionable with a well-sequenced, validated workflow and no superfluous concept explanations. Its main weakness is that the SKILL.md body duplicates substantial detail already in the bundled reference, leaving progressive disclosure and conciseness short of the level-3 ideal.

Suggestions

Trim the duplicated install sequence, config.toml, proxy-env template, and failure tables from SKILL.md, summarizing each and pointing into references/deepscientist-windows-wsl-notes.md for the full detail.

Keep SKILL.md as the decision-oriented overview (workflow steps, human-actions table, end-state checks) and move the verbatim command blocks into the reference, keeping only one canonical copy.

Link the troubleshooting failure table inline as a one-line pointer to the reference's failure-patterns table instead of reproducing it in both files.

DimensionReasoningScore

Conciseness

The 329-line body is mostly efficient and assumes Claude's competence (no 'what is WSL' preamble), but it duplicates the full install sequence, config.toml, proxy-env template, and failure tables that also appear in the bundled reference notes, which is more inline detail than the token budget rewards.

2 / 3

Actionability

Provides fully executable, copy-paste-ready commands throughout — apt and nodesource setup, npm prefix, config.toml, auth.json, the proxy env heredoc, and the ordered validation block — matching the level-3 anchor for concrete executable guidance.

3 / 3

Workflow Clarity

A clearly sequenced workflow with explicit validation checkpoints and feedback loops: 'Do not proceed with installation until WSL can start', 'Only after the proxy port is confirmed', numbered validation steps 1-6, and defined end-state checks.

3 / 3

Progressive Disclosure

References and the helper script are real, one level deep, and clearly signaled, but the SKILL.md body is fairly monolithic — it inlines the full install sequence, config templates, and failure tables that largely duplicate references/deepscientist-windows-wsl-notes.md rather than splitting detail out.

2 / 3

Total

10

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12

Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific, third-person, and clearly answers both what the skill does and when to use it with an explicit trigger clause. It distinguishes itself well from generic skills and carries no over-claims or fluff.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Install, repair, and validate', 'WSL distro creation', 'Linux-side Node/Python prerequisites', 'Codex auth/relay configuration', 'WSL proxy troubleshooting', and 'ds doctor or Web UI verification' — matching the level-3 anchor for specific concrete actions.

3 / 3

Completeness

Explicitly answers both what ('Install, repair, and validate DeepScientist on Windows with WSL2') and when ('Use when an agent needs to set up or fix DeepScientist on a Windows machine'), satisfying the level-3 anchor with an explicit 'Use when' trigger.

3 / 3

Trigger Term Quality

Covers natural terms a user would say — 'set up or fix DeepScientist on a Windows machine', 'WSL2', 'WSL distro', 'Codex auth/relay', 'proxy troubleshooting' — with good coverage of common variations rather than pure jargon.

3 / 3

Distinctiveness Conflict Risk

The niche is highly specific (DeepScientist + Windows + WSL2 + Codex/proxy) with distinct triggers, making it very unlikely to fire for an unrelated skill.

3 / 3

Total

12

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
ResearAI/DeepScientist
Reviewed

Table of Contents

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