Marketing Foundation
Compact two-skill starter: clarify positioning and choose a lead magnet. Use Marketing Launch for the broader eight-skill go-to-market workflow.
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Compact two-skill starter: clarify positioning and choose a lead magnet. Use Marketing Launch for the broader eight-skill go-to-market workflow.
Build an evidence-led marketing plan from ICP and competition through positioning, campaigns, growth and measurement.
Diagnose architecture and context, plan agent-team responsibilities, then organize project context and session handoffs. Memory and cost-runtime reviews remain outside this pack.
Review the journey from landing page and lead capture through registration, first value and transparent upgrades.
Plan a campaign, draft its channel content and review the work against actual brand guidance.
Prioritize an editorial roadmap and plan how to launch and distribute it across suitable channels.
Understand customer needs, compare competitors and plan a community around real member value.
Choose a relevant lead magnet, then draft a permission-based nurture journey with entry, suppression and exit rules.
Define the API contract, then plan how to observe its latency, failures and retries. Guidance and checklist; no production changes.
Profile a dataset, choose and interpret statistical methods, then validate calculations and conclusions before sharing.
Define the target account, prioritize buying signals, plan a human LinkedIn engagement routine and prepare evidence-led responses to buyer concerns.
Organize adverse-media and sanctions research while retaining uncertainty and review status.
---
name: screen-adverse-media
description: Screen a person or organisation for adverse media coverage, PEP status, and sanctions exposure — corroboration-gated, returns "review" never "guilty". Use when the user asks to screen someone before onboarding, partnership, or investment; for AML/CTF flows; or for ongoing counterparty monitoring.
category: document-verification
risk: critical
source: community
source_repo: Sketchjar/stipple-agent-skills
source_type: community
date_added: "2026-08-31"
author: Sketchjar
tags: [document-verification, fact-checking, stipple, authenticity]
tools: [claude, cursor, gemini, codex]
license: "Apache-2.0"
license_source: "https://github.com/Sketchjar/stipple-agent-skills/blob/main/LICENSE"
---
# 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):
```bash
# 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):
```bash
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:
| Finding | Correct 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
Organize adverse-media and sanctions research while retaining uncertainty and review status.
The complete original guidance with attribution and declared limits.
Clarify the evidence and task scope, then use the source guidance within actual authorization.
Named counterparty, lawful purpose, sources, jurisdiction and reviewer.
Original frontmatter declares Apache-2.0; its notice and named author are preserved. This source covers legal, tax, compliance or employment topics and is not professional advice. Referenced runtimes, scripts, integrations and sibling skills are not bundled or installed. Brief obvious-danger screening only; no functional test or comprehensive safety certification. Loading this text authorizes no external action.
Use Counterparty Adverse Media Screening for [TASK]. Clarify Named counterparty, lawful purpose, sources, jurisdiction and reviewer. Identify evidence gaps and missing dependencies. Do not claim results, approval or execution without evidence.
Treating this attributed guidance as installed software, professional certification or authorization for external actions.
German routing and delivery limits. Original attribution: Sketchjar. Original frontmatter declares Apache-2.0; its notice and named author are preserved. This source covers legal, tax, compliance or employment topics and is not professional advice. Referenced runtimes, scripts, integrations and sibling skills are not bundled or installed. Brief obvious-danger screening only; no functional test or comprehensive safety certification. Loading this text authorizes no external action.
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