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DC OpenClaw Install Guide (WSL2 Windows)

Complete step-by-step installation guide for OpenClaw on Windows 10/11 with WSL2, includes common pitfalls and solutions from real installation experience.

Not recommendedcritical or high security findings · low grade D
ClawHub Agent Skills author: aslancootl v1.2.1 MIT-0 3 files body ≈ 8 725 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 60/100 · Has gaps — weak spots: result and completion, consistency, execution cost

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
D
57/100
safety, quality, tests
Safety 60%
62
Quality 40%
50
Run on models
none yet
Process rating
C
60/100
Has gaps
Progress reporting w 2
0
Running it twice w 4
30
Result and completion w 14
40
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: OpenClaw Install Guide (WSL2 Windows) (ClawHub)

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Dangerous commands
If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  3. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 5

  • high Dangerous commands cmd-pipe-to-shell SKILL.md:503
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl -fsSL https://molt.bot/install.sh | bash
Medium and low: 4
  • medium Dangerous commands cmd-shell-rc SKILL.md:511
    Writes to a shell startup file
    echo 'export PATH="/home/openclaw/.npm-global/bin:$PATH"' >> ~/.bashrc
  • medium Dangerous commands cmd-privilege SKILL.md:614
    Privilege escalation / world-writable permissions
    sudo tee /etc/wsl.conf << 'EOF'
  • medium Dangerous commands cmd-privilege SKILL.md:690
    Privilege escalation / world-writable permissions
    sudo chown -R $USER:$USER ~/.npm-global
  • medium Dangerous commands cmd-privilege SKILL.md:850
    Privilege escalation / world-writable permissions
    sudo cp ~/Desktop/openclaw-gateway.desktop /usr/share/applications/

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 8725 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "slug"

Process rating: all ten parameters 60/100

  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 20 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 40Consistency. Frontmatter name (OpenClaw Install Guide (WSL2 Windows)) differs from the folder (openclaw-win-install-ai-assist)
  • 40Execution cost. Instruction body is 8725 tokens: crowds the task out of the window
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 161 steps, 1 vague phrases
  • 100Failures and branches. 9 branches, has a failure section
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (6 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 155: enough signal without eating the budget
  • +4Structure: 65 headings
  • +3Step-by-step instructions: 161 items
  • +4Has examples (44 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 50.

External checks

ClawHub: suspicious
This is a coherent OpenClaw WSL install guide, but it includes several broad security and privilege changes that users should review carefully before following.
LLM: suspicious (high) · VirusTotal: · 29 May 2026