deepscientist-windows-wsl-setup

deepscientist-windows-wsl-setup is a skill for Codex from ResearAI/DeepScientist. It costs 93 tokens per session (3,736 once invoked), scanned A, original, Apache-2.0.

A setup guide for DeepScientist, installed on Windows through WSL2, which runs a Linux environment alongside Windows, until its browser interface is available.

In plain words
What is it for?
Use it to create or inspect a WSL2 Ubuntu environment, install prerequisites, configure Codex access, and verify DeepScientist in a Windows browser.
Why use it?
It provides checks and repair steps for the Windows, Linux, Node.js, Python, authentication, and proxy pieces that can prevent the interface from opening.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: positional $N argument; mentions Claude Code; mentions Codex.

Good fit Use it to create or inspect a WSL2 Ubuntu environment, install prerequisites, configure Codex access, and verify DeepScientist in a Windows browser.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/researai/deepscientist/deepscientist-windows-wsl-setup
About the project

DeepScientist is a local research studio that manages the cycle from baseline experiments through research findings and paper-ready outputs. Researchers use it to organize autonomous scientific investigations, review progress, and take control when needed. The catalogue add-ons provide workflows and agent integrations for running research projects with it.

ResearAI/DeepScientist · 3,321 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ResearAI/DeepScientist --skill deepscientist-windows-wsl-setup
Clone the repo
git clone --depth 1 https://github.com/ResearAI/DeepScientist

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for deepscientist-windows-wsl-setup

README.md
[![agentmods](https://agentmods.dev/badge/skills/researai/deepscientist/deepscientist-windows-wsl-setup/github.svg)](https://agentmods.dev/skills/researai/deepscientist/deepscientist-windows-wsl-setup)
Your own site
<a href="https://agentmods.dev/skills/researai/deepscientist/deepscientist-windows-wsl-setup"><img src="https://agentmods.dev/badge/skills/researai/deepscientist/deepscientist-windows-wsl-setup/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/researai/deepscientist/deepscientist-windows-wsl-setup"><img src="https://agentmods.dev/badge/skills/researai/deepscientist/deepscientist-windows-wsl-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,736 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. ✓ AI security review Sonnet 5 · 6 Sept 2026 📄 Read the review Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 24 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Tool Misuse · line 65
    Tool calls are chained to bypass individual safety checks or escalate capabilities beyond what any single tool call would allow.
    Fix: Limit tool chaining depth and validate the output of each tool before passing it to the next. Require explicit user approval for multi-step chains.
  • high Tool Misuse · line 87
    Tool calls are chained to bypass individual safety checks or escalate capabilities beyond what any single tool call would allow.
    Fix: Limit tool chaining depth and validate the output of each tool before passing it to the next. Require explicit user approval for multi-step chains.
  • high Tool Misuse · line 88
    Tool calls are chained to bypass individual safety checks or escalate capabilities beyond what any single tool call would allow.
    Fix: Limit tool chaining depth and validate the output of each tool before passing it to the next. Require explicit user approval for multi-step chains.
  • high Privilege Escalation · line 86
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 87
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 88
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Tool Misuse · line 114
    Tool calls are chained to bypass individual safety checks or escalate capabilities beyond what any single tool call would allow.
    Fix: Limit tool chaining depth and validate the output of each tool before passing it to the next. Require explicit user approval for multi-step chains.
  • high Agent Snooping · line 141
    Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.
    Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
  • high YARA Match · line 240
    YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).
    Fix: Remove the malware payload or compromised file entirely. Investigate how it entered the skill and audit all other artifacts for additional indicators of compromise.
  • high Excessive Agency · line 261
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
  • medium Privilege Escalation · line 65
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
  • medium Privilege Escalation · line 77
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
  • medium Privilege Escalation · line 79
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
  • medium Privilege Escalation · line 81
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
  • medium Privilege Escalation · line 86
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
  • medium Privilege Escalation · line 87
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
  • medium Privilege Escalation · line 88
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
  • medium Privilege Escalation · line 89
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
  • medium Privilege Escalation · line 90
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
  • medium Data Exfiltration · line 79
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00093 $0.03736
Opus 5 $0.00046 $0.01868
Sonnet 5 $0.00019 $0.00747
Haiku 4.5 $0.00009 $0.00374

Measured 10d ago against content hash fc5e4f4baaac, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

deepscientist-windows-wsl-setup scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/find-wsl-proxy.ps1), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/deepscientist-windows-wsl-setup/SKILL.md · 330 lines

How it starts

The opening of the file, as written. The whole thing — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DeepScientist Windows WSL Setup

One-liner for humans

Copy this to any AI coding agent (Claude Code, Codex, Cursor, etc.) to trigger the install:

Install DeepScientist on this Windows machine using WSL2. Follow the skill at deepscientist-windows-wsl-setup/SKILL.md in the DeepScientist repo for the full procedure. Keep going until ds doctor passes and I can open http://127.0.0.1:20999 in my Windows browser.

Workflow

  1. Read the current official DeepScientist README and Windows WSL2 deployment guide before changing anything. Use the official repo as the source of truth for install commands and note any version pins or prerequisites that changed.
  2. Inspect the machine first:
    • wsl -l -v
    • wsl --status
    • Check whether a usable WSL2 Ubuntu distro already exists.
    • Check whether Linux-side node, npm, git, uv, codex, and ds already exist inside the target distro.
  3. Prefer a dedicated WSL2 Ubuntu distro for DeepScientist instead of modifying docker-desktop or converting an unrelated user distro unless the user asks for that explicitly.
  4. Keep working until these end-state checks pass:
    • Linux-side codex exec --skip-git-repo-check "Print exactly OK and exit." succeeds.
    • ds doctor reports [ok] Codex CLI (or [warn] Codex CLI: Codex startup probe completed.).
    • ds starts and Windows can open http://127.0.0.1:20999.

Human actions required

Some steps require the human to act. The agent cannot do these:

When What the human must do
WSL cannot start (HCS_E_CONNECTION_TIMEOUT) Reboot the PC. Pending Windows updates or long uptimes cause Hyper-V VM creation to fail.
Proxy listens only on 127.0.0.1 Open the proxy app (Clash, v2rayN, etc.) and enable Allow LAN so it listens on 0.0.0.0.
No valid OpenAI auth Either (a) run codex login in a GUI terminal, or (b) provide an API key or relay config.
ChatGPT subscription expired Renew subscription, or provide a third-party API relay endpoint and key.
Firewall blocks WSL networking Temporarily allow WSL/Hyper-V through Windows Firewall.

Read the full file on GitHub · 330 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 330 lines · 93 tokens per session scan E fc5e4f4baaac

Subscribe to this mod's changes

deepscientist-windows-wsl-setup is a skill published in the GitHub repository ResearAI/DeepScientist (3,321 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 93 tokens to every session and 3,736 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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