agentsclimarketplace

Case 00037

Skill knownasnaffy/prompthound/dataset/case_00037

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_00037

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What its author says it does

Copied from the file, not written here

Research a business website, produce a concise prospect report, recommend concrete OpenClaw use cases, and draft a tailored outreach email. Use when demonstrating OpenClaw to a business owner, preparing personalized prospecting materials from a website URL + contact email, or turning website research into an approval-gated email draft.

SKILL.md

5.7 KB, ~1.2k tokens by cl100k_base, as published. Nobody here has run it

Outreach Demo

Build a draft-first outreach package from three inputs: business name, website URL, and contact email.

Keep the workflow evidence-based, concise, and approval-gated for any email send.

Workflow

  1. Intake

    • Collect:
      • business name
      • contact name if available
      • contact email
      • website URL
      • optional business notes
    • If website URL or email is missing, ask only for the missing field.
  2. Website research

    • Inspect the public website only.
    • Prefer homepage, about, services/products, contact, and selected blog/resources pages.
    • Extract only visible, supportable observations.
    • Do not guess internal systems, revenue, staffing, or pain points.
  3. OpenClaw fit analysis

    • Propose up to 3 concrete OpenClaw use cases.
    • Rank them by:
      • visible fit
      • likely business value
      • lowest-friction starting point
    • Also produce:
      • one priority_move
      • a short why_it_matters[] list
    • Phrase uncertain conclusions as “likely”, “appears”, or “suggests”.
  4. Report generation

    • Use references/report-format.md for section shape.
    • For plain operator review, render markdown with:
      • scripts/render_outreach_report.py --input <json> --output <md>
    • For visually stronger delivery, render a polished HTML one-page brief with:
      • scripts/render_outreach_report_html.py --input <json> --output <html>
    • Preferred showcase artifact: convert the HTML brief to PDF with:
      • scripts/render_outreach_report_pdf.sh --input <html> --output <pdf>
    • Prefer PDF for live outreach when visual impact matters.
  5. Email draft generation

    • Default to the value-first / “free doughnut” framing: give the prospect a small concrete asset before asking for time.
    • Use references/email-template.md for default tone and structure.
    • Read references/value-first-outreach.md when you need to optimize for scannability, subject lines, or a more enticing value-first CTA.
    • Render a plain-text draft with:
      • scripts/render_outreach_email.py --input <json> --output <txt>
    • Render lightweight HTML with:
      • scripts/render_outreach_email_html.py --input <json> --output <html>
    • Preferred showcase send mode: HTML email + attached brief.
    • Keep email short, specific, and visually scannable.
    • Default to draft-only.
  6. Approval gate

    • Do not send email automatically.
    • Sending is allowed only after explicit user approval for that recipient/message.
    • Build a preview manifest with:
      • scripts/render_outreach_preview.py --input <json> --subject <subject> --email-text <txt> --email-html <html> --brief <brief.html> --output <preview.json>
    • Before send, preview or summarize:
      • recipient
      • subject
      • plain-text fallback body
      • HTML body when used
      • attached brief filename/format when used
    • For actual HTML+brief send, use:
      • scripts/send_outreach_package.sh --to <email> --subject <subject> --text <txt> --html <html> --attach <brief.pdf>
    • Use a client-facing attachment name such as:
      • <Business-Name>-OpenClaw-Brief.pdf

Output standard

Produce three artifacts when possible:

  • structured JSON summary
  • markdown report
  • plain-text email draft

Recommended JSON fields:

  • business_name
  • contact_name
  • contact_email
  • website_url
  • business_summary
  • likely_audience
  • website_observations[]
  • openclaw_fits[] with:
    • use_case
    • why_it_fits
    • likely_value
    • starting_point
  • priority_move with:
    • move
    • why_first
    • expected_benefit
  • why_it_matters[]
  • demo_angle
  • outreach_summary

Guardrails

  • Research public website content only unless the user supplies additional material.
  • Do not claim verified need where only a hypothesis exists.
  • Do not overpromise outcomes.
  • Do not send email without explicit approval.
  • Use the configured sender account and sender identity for outbound workflows; do not hardcode personal branding into public distributions.

Resources

references/

  • references/report-format.md — required report structure
  • references/email-template.md — default email draft shape and constraints
  • references/value-first-outreach.md — value-first / “free doughnut” outreach framing, scannability rules, and CTA guidance
  • references/visual-delivery.md — HTML email + one-page brief delivery guidance and approval-preview checklist
  • references/follow-up-sequence.md — optional follow-up templates and cadence after the initial brief send

scripts/

  • scripts/render_outreach_report.py — render markdown report from structured JSON
  • scripts/render_outreach_report_html.py — render polished HTML one-page brief from structured JSON
  • scripts/render_outreach_report_pdf.sh — convert the HTML brief into a client-facing PDF artifact
  • scripts/render_outreach_email.py — render plain-text outreach email from structured JSON
  • scripts/render_outreach_email_html.py — render lightweight HTML outreach email from structured JSON
  • scripts/render_outreach_preview.py — render approval preview manifest for the actual outbound package
  • scripts/send_outreach_package.sh — send HTML email plus attached brief via Gmail after approval
  • scripts/config.example.json — example config with sender account and output defaults

What ships with it: 14 files

21.2 KB alongside SKILL.md, 8 of them executable

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