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 aroyburman-codes/pm-skills --skill ai-ethics-tradeoffsgit clone --depth 1 https://github.com/aroyburman-codes/pm-skillsWrote 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/aroyburman-codes/pm-skills/ai-ethics-tradeoffs)<a href="https://agentmods.dev/skills/aroyburman-codes/pm-skills/ai-ethics-tradeoffs"><img src="https://agentmods.dev/badge/skills/aroyburman-codes/pm-skills/ai-ethics-tradeoffs/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/aroyburman-codes/pm-skills/ai-ethics-tradeoffs"><img src="https://agentmods.dev/badge/skills/aroyburman-codes/pm-skills/ai-ethics-tradeoffs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00039 | $0.01473 |
| Opus 5 | $0.00019 | $0.00737 |
| Sonnet 5 | $0.00008 | $0.00295 |
| Haiku 4.5 | $0.00004 | $0.00147 |
Grade A, and why
ai-ethics-tradeoffs 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 12d 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 — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Ethics & Trade-offs Skill
Generate structured, nuanced analysis of AI safety, ethics, and capability trade-off questions — increasingly central to product decisions at AI companies.
When to Use
- User asks about AI safety trade-offs
- User asks about content policy decisions
- User asks "How would you handle [ethical dilemma in AI]?"
- User says
/ai-ethics-tradeoffsfollowed by a question - Any question about responsible AI development, deployment, or governance
- Especially relevant for safety-focused AI companies
Why This Matters
At safety-focused labs: Safety is core to the company's identity. Every PM must reason about safety-capability trade-offs fluently.
At capability-focused labs: Under increasing scrutiny for safety practices. PMs must articulate how to "move fast" responsibly.
At research-first labs: Deep commitment to responsible AI development. PMs bridge research safety work and product decisions.
These questions increasingly distinguish good product thinking from great at any frontier AI company.
Framework: SAFE Method (5 Sections)
Section 1: Scope the Dilemma
Before analyzing, clearly define:
- The tension: What two (or more) values are in conflict?
- The stakeholders: Who is affected? (users, society, the company, specific communities, future generations)
- The timeframe: Short-term vs. long-term implications
- The reversibility: Can this decision be undone if wrong?
Common tension patterns in AI:
- Safety vs. Capability (restricting model vs. making it more useful)
- Access vs. Control (open-source vs. closed, free vs. gated)
- Privacy vs. Personalization (user data vs. better experience)
- Speed vs. Caution (shipping fast vs. thorough safety testing)
- Transparency vs. Security (model details public vs. preventing misuse)
Section 2: Analyze Perspectives
For each stakeholder, articulate their legitimate concerns:
- Users: What do they want? What risks do they face?
- Society: What are the broader implications?
- Developers: How does this affect those building on the platform?
- Researchers: What does the scientific community need?
- Regulators: What are the legal/compliance requirements?
- The company: What are the business and reputational stakes?
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.
- 12d ago First seen · 160 lines · 39 tokens per session scan A aa1ddafbab82
ai-ethics-tradeoffs is a skill published in the GitHub repository aroyburman-codes/pm-skills (25 stars, last pushed 6mo ago), licensed MIT. It adds 39 tokens to every session and 1,473 once invoked, about $0.0002 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 2026-08-30.
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