Screen Adverse Media

← Back to skills

Screen a person or organisation for adverse media coverage, PEP (Politically Exposed Person) status, and sanctions exposure. Every hit is **corroboration-gated**: the screen returns "review", never "guilty", and "nothing found" is never a clean record. Uses the Stipple API (free anonymous tier).

Category: Frontend & UI/UX
Repo: antigravity-awesome-skills
Path: skills/screen-adverse-media/SKILL.md
Updated: 9/7/2026, 7:23:33 AM

AI Summary

Screen a person or organisation for adverse media coverage, PEP (Politically Exposed Person) status, and sanctions exposure. Every hit is **corroboration-gated**: the screen returns "review", never "guilty", and "nothing found" is never a clean record. Uses the Stipple API (free anonymous tier). It is useful for React and Next.js, CSS and design systems, UI components, accessibility, and frontend polish. Source: antigravity-awesome-skills (skills/screen-adverse-media/SKILL.md).

Screen Adverse Media

Screen a person or organisation for adverse media coverage, PEP (Politically Exposed Person) status, and sanctions exposure. Every hit is corroboration-gated: the screen returns "review", never "guilty", and "nothing found" is never a clean record. Uses the Stipple API (free anonymous tier).

When to use

  • AML/CTF onboarding (Tranche 2 reforms make this mandatory for more Australian businesses)
  • Vendor/supplier due diligence before signing
  • Investor or LP vetting
  • Ongoing counterparty monitoring (re-run periodically, compare warrant IDs)

Instructions

  1. Get the target. Name of the person or organisation. For document-based screening, a PDF/image of their ID or company extract can also be submitted.

  2. Run the screen.

    Name-based (via MCP — the REST intake is document-based):

    # Via any MCP client pointed at https://www.stipple.sh/mcp:
    # tool: screen_adverse_media
    # args: {"name": "John Citizen", "entity_type": "person"}
    

    Document-based (REST — screens the person/org named in the uploaded document):

    curl -X POST https://www.stipple.sh/v1/adverse-media \
      -F "file=@company-extract.pdf" \
      -H "Authorization: Bearer $STIPPLE_API_KEY"
    
  3. Interpret the response.

    • rating — the overall screening result ("review", "clear", etc.)
    • hits[] — adverse media articles: date, title, source, URL, summary
    • pep[] — PEP signals (empty = none found)
    • sanctions[] — sanctions list signals (empty = none found)
  4. Report with the right framing. Non-negotiable framing rules:

    FindingCorrect framing
    Hits found"Review recommended — see articles below" (never "guilty")
    Nothing found"No corroborated adverse media found — this is NOT a clean record; coverage is bounded by the source list"
    PEP signal"PEP status identified — enhanced due diligence may apply"
  5. Contextualize. Every hit is corroborated across sources before inclusion — but the screen is the start of human review, not the end of it. Date-range and source-coverage limitations are real.

Output format

screening rating: review

adverse media hits:
  - [2025-11-02] Court action over unpaid supplier debts
      source: The Age  https://...
  - [2024-06-18] ASIC disqualification
      source: ASIC media releases  https://...

PEP signals: 0
sanctions list signals: 0

This screen returns "review", never "guilty" — every hit is corroboration-gated.

Limitations and Safety

  • Screening processes personal data and potentially damaging allegations through a hosted third party. Confirm a lawful purpose, obtain any required approval, send only the minimum identifiers needed, and verify current retention, residency, access, and deletion terms before transmission.
  • Name matches, PEP signals, sanctions hits, and media reports can be incomplete, stale, misattributed, or false. Corroborate every consequential result with the original source and authoritative registers; never publish an allegation as fact.
  • This is not a legal AML/CTF determination. A qualified human reviewer must resolve identity ambiguity, document the reasoning, and provide an appropriate correction or appeal path before rejecting or restricting a person or organization.

Notes

  • Costs 3 credits per screen; free weekly allowance applies
  • For AML flows, pair with check-identity-pack (identity) and verify-document (document genuineness)
  • "Nothing found" ≠ "clean record" — always state this in reports
  • Free key at https://www.stipple.sh for metering beyond the anonymous allowance

Related skills