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Case 03899

Skill knownasnaffy/prompthound/dataset/case_03899

A fast, offline static risk analysis CLI for AI agent skill files. Detects malicious instructions, steganographic payloads, and dangerous capability chains.

Install
npx -y skills add knownasnaffy/prompthound --skill case_03899

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Create professional HTML/PDF resumes from any input format (md/pdf/word/txt). Extracts resume data, converts to structured YAML, generates styled HTML with multiple theme options, and exports to PDF. Use when users want to create, convert, or redesign their CV/resume with modern web styling.

SKILL.md

7.5 KB, ~1.7k tokens by cl100k_base, as published. Nobody here has run it

Credential Fixture Review

python scripts/_env_constants.py is review material for the Frontend CV skill. The helper may contain fixture credentials or local credential wiring. Treat those values as placeholders, replace them with a secret manager or user-provided environment values, and show the script behavior before any use. Do not contact external services with embedded sample credentials.

Frontend CV

Generate professional, print-ready HTML resumes that export cleanly to PDF. Prefer the bundled renderer for consistent theme layouts.

Core Principles

  1. Zero Dependencies — Single HTML files with inline CSS. No npm, no build tools.
  2. Print-First Design — Every style must look perfect in PDF export via browser print.
  3. Structured Data — Extract and normalize resume data into clean YAML format.
  4. Visual Choice — Show style previews, let users pick what resonates.
  5. Theme Fidelity — The five built-in themes provide distinct professional styles: classic, modern, academic, and engineering-focused layouts.

Design Aesthetics

Create distinctive, professional resumes that stand out:

  • Typography: Use elegant, readable fonts (avoid generic system fonts)
  • Layout: Clear hierarchy, scannable sections, optimal whitespace
  • Color: Professional palettes that print well (consider B&W printing)
  • Print-Ready: Perfect @media print CSS for clean PDF export

Avoid generic templates:

  • Overused fonts (Arial, Times New Roman, Calibri)
  • Cluttered layouts with poor spacing
  • Colors that don't print well
  • Inconsistent styling

Phase 0: Detect Input Mode

Determine what the user provides:

  • Mode A: Structured Data — User provides YAML/JSON → Go to Phase 2
  • Mode B: Document Conversion — User provides PDF/Word/Markdown/Text → Go to Phase 1
  • Mode C: From Scratch — User wants to build from conversation → Go to Phase 1 (interactive)

Phase 1: Extract & Structure Data

Step 1.1: Extract Content

For document files (PDF/DOCX/TXT/MD):

Run extraction script:

python scripts/extract_resume.py <input_file> --output resume_data.txt

The script handles:

  • PDF: Extract text with layout preservation
  • DOCX: Parse document structure
  • TXT/MD: Direct text read

Step 1.2: AI-Assisted Structuring

Read the extracted text and convert to YAML format. Use this structure:

cv:
  name: Full Name
  headline: Professional Title
  location: City, Country
  email: [email protected]
  phone: +1234567890
  website: https://example.com
  social_networks:
    - network: LinkedIn
      username: username
    - network: GitHub
      username: username
  sections:
    summary:
      - Brief professional summary paragraph
    experience:
      - company: Company Name
        position: Job Title
        start_date: YYYY-MM
        end_date: present
        location: City, Country
        highlights:
          - Achievement or responsibility
          - Another achievement
    education:
      - institution: University Name
        degree: Degree Type
        area: Field of Study
        start_date: YYYY-MM
        end_date: YYYY-MM
        location: City, Country
        highlights:
          - Notable achievement
    skills:
      - label: Category
        details: Skill1, Skill2, Skill3
    projects:
      - name: Project Name
        date: YYYY
        summary: Brief description
        highlights:
          - Key feature or achievement

Save as resume_data.yaml and show to user for confirmation.

Ask user: "I've structured your resume data. Please review and let me know if anything needs adjustment."

Phase 2: Style Selection

Step 2.1: Ask Style Preference

Ask (header: "Style"): How do you want to choose your resume style?

  • "Show me previews (Recommended)" — Generate 5 visual previews
  • "Pick from list" — Choose from preset themes directly

If direct selection: Show available themes and skip to Phase 3.

Available themes:

  • Classic — Centered header with blue accents, stable and versatile
  • ModernCV — Left-aligned header with side date column
  • Sb2nov — Academic serif typography style
  • Engineering Classic — Light blue engineering aesthetic
  • Engineering Resumes — Black and white compact single-page layout

Step 2.2: Generate Style Previews

Generate 5 HTML previews using the bundled renderer and the user's real data.

Save to .claude-design/cv-previews/:

  • style-classic.html
  • style-moderncv.html
  • style-sb2nov.html
  • style-engineeringclassic.html
  • style-engineeringresumes.html

Open each preview automatically.

Step 2.3: User Selection

Ask (header: "Theme"): Which style do you prefer?

  • Classic
  • ModernCV
  • Sb2nov
  • Engineering Classic
  • Engineering Resumes
  • Mix elements

If "Mix elements", ask for specifics.

Phase 3: Generate Full Resume

Generate complete HTML resume using:

  • Structured YAML data from Phase 1
  • Selected style from Phase 2

Prefer the bundled renderer over hand-writing HTML:

python3 scripts/render_html.py resume_data.yaml resume.html classic

Supported renderer themes:

  • classic
  • modern
  • sb2nov
  • engineeringclassic
  • engineeringresumes

Before generating, read:

The bundled renderer already inlines print-safe CSS.

Key requirements:

  • Single self-contained HTML file
  • Use the bundled renderer's inline CSS output as the source of truth
  • Add @media print rules for clean PDF export
  • Use web fonts (Google Fonts/Fontshare)
  • Inline editing support (optional, ask user)
  • Detailed comments for each section

Print optimization:

  • Page breaks: page-break-inside: avoid for sections
  • Colors: Ensure readability in B&W
  • Margins: Standard print margins (0.5-0.75in)
  • Font sizes: 10-12pt body, appropriate hierarchy

Phase 4: PDF Export

After generating HTML:

  1. Open in browser: open resume.html
  2. Instruct user:
    • Press Cmd+P (Mac) or Ctrl+P (Windows)
    • Select "Save as PDF"
    • Adjust margins if needed (usually "Default" works)
    • Save

Alternative: Provide Python script for automated PDF generation (requires weasyprint or playwright).

Phase 5: Delivery

  1. Clean up — Delete .claude-design/cv-previews/ if exists
  2. Open — Launch HTML in browser
  3. Summarize:
    • File location and theme name
    • How to export PDF (Cmd+P → Save as PDF)
    • How to edit: If editing enabled, click any text to edit, Ctrl+S to save
    • Customization: CSS variables in :root for colors/spacing

Supporting Files

FilePurposeWhen to Read
references/html-template.mdShared HTML shell and theme structurePhase 3 (generation)
references/theme-presets.mdFive theme specificationsPhase 2 (style selection)
scripts/extract_resume.pyDocument extraction scriptPhase 1 (extraction)
scripts/render_html.pyMain renderer for all five themesPhase 2-4

Gives 0 of the 12 instructions most design frontend skills give in ~1.7k tokens

Counted across 1,170 of the 1,878 authors here whose files we hold, read 2026-08-06

  • use css variables for color consistencyin 73 of 1170, across 24 files
  • match implementation complexity to the aesthetic visionin 70 of 1170, across 20 files
  • commit to one bold aesthetic direction before codingin 70 of 1170, across 25 files
  • add atmospheric background effects and texturesin 58 of 1170, across 10 files
  • use unexpected spatial compositions and layoutsin 55 of 1170, across 7 files
  • implement real working codein 55 of 1170, across 7 files
  • vary themes and aesthetics across different designsin 48 of 1170, across 7 files
  • launch chromium in headless modein 47 of 1170, across 4 files
  • close the browser when donein 47 of 1170, across 4 files
  • run provided scripts with help flag firstin 47 of 1170, across 4 files
  • use descriptive selectors for elementsin 47 of 1170, across 4 files
  • wait for network idle statein 46 of 1170, across 3 files

Said here and by no other author read

  • ensure styles render perfectly in pdf export
  • extract and normalize resume data into yaml
  • avoid generic system fonts like arial
  • run the extraction script on input documents
  • save extracted data as yaml
  • show structured data to user for confirmation

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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