S4h Ethics Vendor Review logo

S4h Ethics Vendor Review

Organization
human-avatar
s4h-ethics-vendor-review

Evaluate a third-party vendor, supplier, partner, or integration against ethical standards before signing a contract or shipping their code or service. Use when considering a new supplier, SaaS tool, data provider, API integration, outsourcing arrangement, or partnership. TRIGGERS: 'vet this vendor', 'is this supplier ok', 'ethics check on this partner', 'should we use this third party', any third-party evaluation where labour practices, data handling, business model, or alignment with values is a consideration.

Overview

Publisherhuman-avatar
Repositoryskills-for-humanity
Skill names4h-ethics-vendor-review
Stars
234
Forks
24
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by human-avatar on GitHub. Read the source before you install it.

Installation

Install the S4h Ethics Vendor Review AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h-ethics-vendor-review
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/human-avatar/skills-for-humanity.git /tmp/skills-for-humanity
mkdir -p .claude/skills
cp -r /tmp/skills-for-humanity/skills/s4h-ethics-vendor-review .claude/skills/s4h-ethics-vendor-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable S4h Ethics Vendor Review in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads S4h Ethics Vendor Review on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so S4h Ethics Vendor Review is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Ethics Vendor Vetting

Every supplier relationship is a values choice. When you integrate a vendor's service, you extend your ethical surface area — their data practices become partly yours, their labour conditions are part of your supply chain, their business model is something you're funding.

Most vendor decisions get evaluated on price, capability, and reliability. This vetting adds the dimension that gets skipped: who is this, actually, and is this the kind of organisation we want to be in relationship with?

It applies two lenses: virtue ethics (what does choosing this vendor say about who we are?) and justice/fairness (are the benefits of this relationship fairly distributed, or does it depend on someone else bearing a cost we don't see?).


Your Process

Step 1: Define the relationship What is the vendor providing? What is the nature and depth of the dependency? How much leverage would they have once integrated? What data or access do they require?

Framing check: Confirm the specific vendor and relationship before continuing. State what you've identified — the vendor being evaluated, what they provide, and the nature of the integration — in one sentence, then use AskUserQuestion:

  • Question: "I'm reading this as: [your one-sentence framing of the vendor, what they provide, and what kind of relationship is being considered]. Is that right?"
  • Header: "Framing"
  • Options:
    • Yes — proceed — framing is correct
    • Adjust — one element is off; user will correct it before you continue
    • Reframe — different situation than read; incorporate the correction before proceeding

Step 2: Virtue Ethics Assessment — Character and Alignment

Virtue ethics asks: what does this choice say about us? Organisations, like people, express their character through who they choose to associate with.

Examine:

  • Track record: Has this vendor been involved in significant ethical violations — data breaches, regulatory penalties, labour disputes, discriminatory practices, deceptive advertising?
  • Business model: How do they actually make money? Is their model aligned with serving customers, or extracting value from them? Is there a misalignment between their incentives and ours?
  • Values alignment: Do their stated values and observed practices align with ours? If our users knew we used this vendor, would they be comfortable with that?
  • Transparency: Are they open about how they operate, who owns them, and how they handle the access we'd be granting them?

Step 3: Justice Assessment — Supply Chain and Structural Fairness

Justice asks: are the benefits of this arrangement fairly distributed, or is the pricing attractive because someone else is bearing an unacknowledged cost?

Examine:

  • Labour practices: Where are people employed in connection with this vendor? Are those workers fairly compensated and treated? Is the pricing low because labour costs are being externalised to lower-wage jurisdictions or gig workers without protections?
  • Data practices: Who benefits from the data generated by your use of their service? Are users whose data flows through this vendor aware of and consenting to that flow?
  • Market power: Does integrating this vendor entrench monopolistic practices? Does it give disproportionate power to a player whose dominance is itself ethically questionable?
  • Displacement: Does this integration displace workers or practices that served people fairly?

Step 4: Dependency and Exit Assessment

  • How difficult is it to exit this relationship once established?
  • What leverage do they gain over us once we're integrated?
  • What happens to our users if this vendor changes terms, is acquired, or shuts down?

Human Check-in

Before proceeding, use the AskUserQuestion tool. State your interpretation of the situation in 1–2 sentences — what is being analyzed and what the core question is — then ask:

  • Question: "My read: [your 1–2 sentence interpretation]. How do you want to proceed?"
  • Header: "Scope"
  • Options:
    • Full analysis — Complete all steps, reasoning shown throughout
    • Key findings only — Bottom-line output, skip step-by-step detail
    • Red flags only — Specific concerns, skip domains that look clean
    • Reframe — The read is off; correct it and the analysis will follow the corrected framing

Proceed based on their selection. If the user reframes, incorporate the correction before running any analysis.

Output Format

Vendor Being Vetted: [Name, what they provide, depth of integration]

Virtue Ethics Assessment

DimensionFindingConcern Level
Track record[finding]🔴 / 🟡 / 🟢
Business model alignment[finding]🔴 / 🟡 / 🟢
Values alignment[finding]🔴 / 🟡 / 🟢
Transparency[finding]🔴 / 🟡 / 🟢

Justice Assessment

DimensionFindingConcern Level
Labour practices[finding]🔴 / 🟡 / 🟢
Data practices[finding]🔴 / 🟡 / 🟢
Market power[finding]🔴 / 🟡 / 🟢
Displacement[finding]🔴 / 🟡 / 🟢

Dependency Risk [1–2 sentences: lock-in risk, exit difficulty, leverage they gain]

Verdict [Proceed / Proceed with conditions / Do not proceed — and why]

Conditions or Mitigations

  • [Specific contractual, technical, or procedural safeguard if proceeding with concerns]

Notes

This vetting is based on available information — it is not a guarantee. For high-value or high-trust integrations (e.g. a vendor receiving sensitive user data), request their SOC 2 report, data processing agreement, and subprocessor list before proceeding.

Where concerns are found but the business case is strong, name the trade-off explicitly rather than explaining it away. A conscious decision to proceed despite an ethical concern is better than a decision where the concern was never surfaced.


What's Next

After delivering this output, use AskUserQuestion to offer the next move:

  • Question: "Vendor reviewed. What's next?"
  • Header: "Next"
  • Options:
    • /s4h-ethics-check — Run a full ethical check of the vendor relationship
    • /s4h-decision-criteria-weighting — Weight vendor decision criteria on the ethical findings
    • /s4h-ethics-data-audit — Audit the vendor's data practices
    • Done — Wrap up and synthesise what we have so far

Frequently asked questions

What does the S4h Ethics Vendor Review AI skill do?

Evaluate a third-party vendor, supplier, partner, or integration against ethical standards before signing a contract or shipping their code or service. Use when considering a new supplier, SaaS tool, data provider, API integration, outsourcing arrangement, or partnership. TRIGGERS: 'vet this vendor', 'is this supplier ok', 'ethics check on this partner', 'should we use this third party', any third-party evaluation where labour practices, data handling, business model, or alignment with values is a consideration.

Why use S4h Ethics Vendor Review on TypingMind?

Because you install it once and use it with any model. S4h Ethics Vendor Review is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install S4h Ethics Vendor Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h-ethics-vendor-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use S4h Ethics Vendor Review?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with S4h Ethics Vendor Review?

As many as you like. As long as a model supports skills, you can use S4h Ethics Vendor Review with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the S4h Ethics Vendor Review AI skill free?

Yes. It is published on GitHub by human-avatar under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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