Agent skill

Screen Adverse Media

by sickn33 in sickn33/agentic-awesome-skills

Screen a person or organisation for adverse media coverage, PEP status, and sanctions exposure — corroboration-gated, returns "review" never "guilty".

Apache-2.0Auto-check passedSecurity

Install Screen Adverse Media

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill screen-adverse-media -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills screen-adverse-media --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/screen-adverse-media .claude/skills/screen-adverse-media && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
screen-adverse-media
GitHub stars
47k
Used in
1 other repo
Token cost
~1.1k tokens
SKILL.md length
390 words
Files
1
Skills in repo
1,497
Repo updated
First seen
Licence
Apache-2.0

At a glance

Screen a person or organisation for adverse media coverage, PEP status, and sanctions exposure — corroboration-gated, returns "review" never "guilty".

  • Works in 5 steps: Get the target. Name of the person or… → Run the screen. → Interpret the response. → …
  • The user asks to screen someone before onboarding
  • SKILL.md covers When to use, Instructions, Output format and Limitations and Safety, plus 1 more section
  • Calls curl; reaches stipple.sh; needs STIPPLE_API_KEY

What it does

Screen Adverse Media is an agent skill from sickn33/agentic-awesome-skills. 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.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Security, covering Capture the flag. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is Apache-2.0.

When your agent uses it

  • The user asks to screen someone before onboarding
  • For AML/CTF flows
  • For ongoing counterparty monitoring

Example prompts

  • “review”
  • “guilty”
  • “/screen-adverse-media”

Requirements

  • A credential in STIPPLE_API_KEY

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  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…
  2. Run the screen.
  3. Interpret the response.
  4. Report with the right framing. Non-negotiable framing rules
  5. Contextualize. Every hit is corroborated across sources before inclusion — but the screen is the start of human review, not the end of it…

What it can do on your machine

Read from SKILL.md and the folder at commit b84d35a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • stipple.sh

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • STIPPLE_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Screen Adverse Media loads about 1.1k tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 390 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~80
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit b84d35a, republished under its Apache-2.0 licence (© sickn33). 390 words, ~1,101 tokens.

Download SKILL.mdSave it as .claude/skills/screen-adverse-media/SKILL.md (or your agent's skills folder).
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

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:

    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.

Show full SKILL.md (150 more words)Show less

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

© sickn33, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/screen-adverse-media of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit b84d35a

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Screen Adverse Media next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Screen Adverse Media this skillsickn33/agentic-awesome-skills47k1 repos~1.1kAutomated safety check: PassApache-2.0
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Vuln Researchtanweai/xianzhi-research185—~847Automated safety check: PassNone
Alibabacloud Ecs Sec Kernelaliyun/alibabacloud-ecs-troubleshoot-skills148—~2.4kAutomated safety check: NotesApache-2.0

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Categories

Questions about Screen Adverse Media

What does Screen Adverse Media do?

Screen a person or organisation for adverse media coverage, PEP status, and sanctions exposure — corroboration-gated, returns "review" never "guilty". Screen Adverse Media is an agent skill from sickn33/agentic-awesome-skills. Screen a person or organisation for adverse media coverage, PEP status, and sanctions exposure — corroboration-gated, returns "review" never "guilty".

When should I use Screen Adverse Media?

Screen Adverse Media fits situations like: the user asks to screen someone before onboarding; for AML/CTF flows; for ongoing counterparty monitoring.

How do I install Screen Adverse Media in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill screen-adverse-media -a claude-code`. Or copy the skill folder (skills/screen-adverse-media in sickn33/agentic-awesome-skills) into .claude/skills/screen-adverse-media in your project. Claude Code loads it when a task matches its description.

How do I install Screen Adverse Media in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill screen-adverse-media -a codex`. Or copy the skill folder (skills/screen-adverse-media in sickn33/agentic-awesome-skills) into .agents/skills/screen-adverse-media in your project. Codex loads it when a task matches its description.

Can I use Screen Adverse Media in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill screen-adverse-media -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/screen-adverse-media, .gemini/skills/screen-adverse-media, .github/skills/screen-adverse-media and .opencode/skills/screen-adverse-media in your project.

What does Screen Adverse Media need to run?

Going by SKILL.md and its folder, Screen Adverse Media needs the command-line tools its instructions call (curl) and credentials named STIPPLE_API_KEY. Our summary lists: A credential in STIPPLE_API_KEY.

Does Screen Adverse Media access the network?

SKILL.md names 1 domain. In commands or code: stipple.sh; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Screen Adverse Media safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Screen Adverse Media use?

Screen Adverse Media is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Screen Adverse Media use?

About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Screen Adverse Media?

Skills that share tags, products or a category with Screen Adverse Media: Ctf Osint (ljagiello/ctf-skills, 3.4k stars), Helloctf Skill (ProbiusOfficial/Hello-CTF, 4.2k stars), Secknowledge Skill (Pa55w0rd/secknowledge-skill, 425 stars) and Vuln Research (tanweai/xianzhi-research, 185 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Screen Adverse Media?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,405 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 9, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.