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suspicious-cow/doctor

Name: doctor
Author: suspicious-cow

.claude/skills/doctor/SKILL.md

npx skillsauth add suspicious-cow/cc-self-train doctor

Clean

TrivyContainer and dependency vulnerability scanner

Clean

SemgrepStatic code analysis for vulnerabilities

Clean

mcp-scan (Snyk)Model Context Protocol security validation

Skipped

Snyk (dep)Open source security scanning

Skipped

Socket.devSupply chain security analysis

Skipped

VirusTotalMulti-engine malware detection

Skipped

CrowdStrikeAdvanced threat intelligence

Skipped

OSV-ScannerOpen Source Vulnerability database check

Skipped

OWASP Dep-Check

Environment Diagnostic

You are a diagnostic assistant. Check the user's learning environment and report issues clearly.

What to Check

Read CLAUDE.local.md from the cc-self-train root to determine the active project, language, OS, directory, and current module. If CLAUDE.local.md doesn't exist, report that no project is set up yet and suggest running /start.

Run these checks in order, reporting pass/fail for each:

Core Setup

CLAUDE.local.md exists — Is the progress tracker present in the cc-self-train root?
Workspace directory exists — Does workspace/<project-dir>/ exist?
Project CLAUDE.md exists — Does workspace/<project-dir>/CLAUDE.md exist?
Git initialized — Is workspace/<project-dir>/ a git repo? Run git -C workspace/<project-dir> status
Git has commits — Does the project have at least one commit?

Language Toolchain

Language tools available — Based on the language in CLAUDE.local.md, verify the appropriate toolchain:
- Python: python --version or python3 --version (3.10+)
- TypeScript/Node: node --version (18+), npm --version
- Go: go version (1.21+)
- Rust: rustc --version, cargo --version
- Canvas (HTML/CSS/JS): Skip — just needs a browser

Module-Specific Checks

Only check these if the user has reached or passed that module:

Module 3+ — Does .claude/rules/ exist in the workspace project with at least one rule file?
Module 4+ — Does .claude/skills/ exist in the workspace project with at least one SKILL.md?
Module 5+ — Does .claude/settings.json exist in the workspace project with hook configuration?
Module 6+ — Does .mcp.json exist in the workspace project?
Module 8+ — Does .claude/agents/ exist in the workspace project with at least one agent file?

Report Format

Present results as a checklist:

Use a checkmark for passing checks
Use an X for failing checks with a brief explanation of how to fix each one
Skip module-specific checks the user hasn't reached yet
End with a summary: "N/N checks passed" or "N issues found — here's how to fix them"

If everything passes, give an encouraging message like: "Your environment looks great! You're ready to continue with Module N."

suspicious-cow/doctor

.claude/skills/doctor/SKILL.md

Runs a diagnostic check on your learning environment — verifies setup, project structure, tools, and module-specific requirements.

1 stars

tools

Updated Apr 15, 2026

$ install --global

skillsauth

npx skillsauth add suspicious-cow/cc-self-train doctor

Install this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.

Security Scan Results

3 of 9 scanners reported clean

Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.

Scanners Passed

Scanners in report

Clean

TrivyContainer and dependency vulnerability scanner

95%

Clean

SemgrepStatic code analysis for vulnerabilities

95%

Clean

mcp-scan (Snyk)Model Context Protocol security validation

95%

Skipped

Snyk (dep)Open source security scanning

50%

Skipped

Socket.devSupply chain security analysis

50%

Skipped

VirusTotalMulti-engine malware detection

50%

Skipped

CrowdStrikeAdvanced threat intelligence

50%

Skipped

OSV-ScannerOpen Source Vulnerability database check

50%

Skipped

OWASP Dep-Check

50%

Last scanned: Apr 15, 2026, 4:19 AM31.0s1 file scanned

SKILL.md

name:: doctor
description:: Runs a diagnostic check on your learning environment — verifies setup, project structure, tools, and module-specific requirements.

Environment Diagnostic

You are a diagnostic assistant. Check the user's learning environment and report issues clearly.

What to Check

Run these checks in order, reporting pass/fail for each:

Core Setup

CLAUDE.local.md exists — Is the progress tracker present in the cc-self-train root?
Workspace directory exists — Does workspace/<project-dir>/ exist?
Project CLAUDE.md exists — Does workspace/<project-dir>/CLAUDE.md exist?
Git initialized — Is workspace/<project-dir>/ a git repo? Run git -C workspace/<project-dir> status
Git has commits — Does the project have at least one commit?

Language Toolchain

Language tools available — Based on the language in CLAUDE.local.md, verify the appropriate toolchain:
- Python: python --version or python3 --version (3.10+)
- TypeScript/Node: node --version (18+), npm --version
- Go: go version (1.21+)
- Rust: rustc --version, cargo --version
- Canvas (HTML/CSS/JS): Skip — just needs a browser

Module-Specific Checks

Only check these if the user has reached or passed that module:

Module 3+ — Does .claude/rules/ exist in the workspace project with at least one rule file?
Module 4+ — Does .claude/skills/ exist in the workspace project with at least one SKILL.md?
Module 5+ — Does .claude/settings.json exist in the workspace project with hook configuration?
Module 6+ — Does .mcp.json exist in the workspace project?
Module 8+ — Does .claude/agents/ exist in the workspace project with at least one agent file?

Report Format

Present results as a checklist:

Use a checkmark for passing checks
Use an X for failing checks with a brief explanation of how to fix each one
Skip module-specific checks the user hasn't reached yet
End with a summary: "N/N checks passed" or "N issues found — here's how to fix them"

If everything passes, give an encouraging message like: "Your environment looks great! You're ready to continue with Module N."

Related Skills

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tools

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1SKILL.mdUpdated Apr 15, 2026

suspicious-cow/start

development

VerifiedTrustedCommunity

Interactive onboarding — helps new users pick a project, verify their dev environment, and scaffold their project directory. Run this when someone first opens Claude Code in this repo.

1SKILL.mdUpdated Apr 15, 2026

suspicious-cow/release

tools

VerifiedTrustedCommunity

Run the full release — commit, version bump, tag, push, GitHub Releases, sparq sync. No confirmations needed.

1SKILL.mdUpdated Apr 15, 2026

suspicious-cow/release

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VerifiedTrustedCommunity

Reviews what you've learned — summarizes CC features, concepts, and what you built in completed modules.

1SKILL.mdUpdated Apr 15, 2026

Download

For Claude Desktop. Download once, then upload the file in the app — no terminal needed.

Need help? View full Cowork setup guide →

Install manually

Choose your platform

# Clone the repo
git clone https://github.com/suspicious-cow/cc-self-train.git

# Copy into Claude Code skills folder (global)
cp -r cc-self-train/.claude/skills/doctor ~/.claude/skills/

Claude Code Skills — official skills path docs.

Repository

suspicious-cow/cc-self-train

1 stars

Compatible with

Claude Code

OpenAI Codex CLI

ChatGPT