Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add human-avatar/skills-for-humanity --skill s4h-ethics-vendor-reviewgit clone --depth 1 https://github.com/human-avatar/skills-for-humanityWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-ethics-vendor-review)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-ethics-vendor-review"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-ethics-vendor-review/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-ethics-vendor-review"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-ethics-vendor-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00113 | $0.01552 |
| Opus 5 | $0.00056 | $0.00776 |
| Sonnet 5 | $0.00023 | $0.00310 |
| Haiku 4.5 | $0.00011 | $0.00155 |
Grade A, and why
s4h-ethics-vendor-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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?
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 121 lines · 113 tokens per session scan A 70aad47cff47
s4h-ethics-vendor-review is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 113 tokens to every session and 1,552 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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