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 ysskrishna/ai-agent-skills --skill ethical-thinkinggit clone --depth 1 https://github.com/ysskrishna/ai-agent-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/ysskrishna/ai-agent-skills/ethical-thinking)<a href="https://agentmods.dev/skills/ysskrishna/ai-agent-skills/ethical-thinking"><img src="https://agentmods.dev/badge/skills/ysskrishna/ai-agent-skills/ethical-thinking/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/ysskrishna/ai-agent-skills/ethical-thinking"><img src="https://agentmods.dev/badge/skills/ysskrishna/ai-agent-skills/ethical-thinking.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 | $0.00128 | $0.00889 |
| Opus 5 | $0.00064 | $0.00445 |
| Sonnet 5 | $0.00026 | $0.00178 |
| Haiku 4.5 | $0.00013 | $0.00089 |
Grade A, and why
ethical-thinking 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 10d 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ethical Thinking
Ethics is about conflicts between legitimate goods. End with transparent tradeoffs, not false certainty.
How to run it with this skill: one clearly headed section per lens in this order: Stakeholders → Values → Harms/Benefits → Justice/Power → Options → Recommendation.
Setup (run before starting)
In one short block:
- Ethical focal action — what is being considered?
- Default pass — Stakeholders → Values → Harms/Benefits → Justice/Power → Options → Recommendation (state this line)
If affected parties or red lines are missing, ask at most 3 questions in one message, then proceed. Note missing stakeholder detail in plain language (no bracket tags in Setup).
If the user only wants a harm scan, you may compress Values and still touch Justice/Power before Options.
The Lenses
Stakeholders
Who is affected (direct / indirect / future / non-human if ecologically relevant)? Vulnerability — describe dependence, cognitive load, or marginalization in plain language and one sentence on why that raises duty-of-care or caution (justify from context; do not stereotype).
Values
Which values are in play (autonomy, beneficence, non-maleficence, justice, dignity, solidarity, etc.)? Map value tension pairs: A vs B — why both matter here.
Harms / Benefits
Concrete harms and benefits; for each, one sentence on how plausible it is and under what conditions, plus reversibility in plain language when it matters. Distinguish predicted vs observed (if user gave history).
Justice / Power
Distribution of burdens and boons. Power asymmetry — who can say no, who bears error cost? Note procedural fairness (voice, consent, appeal).
Options
2+ ethically distinct paths (including do not proceed if plausible). For each:
Option: … — Value fit: … — Residual harm: … — Safeguards: …
Recommendation
State a preferred option if the analysis supports one, or conditional guidance. Include dissenting consideration — strongest reason against your recommendation. Add monitoring — what to watch if you proceed.
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.
- 10d ago First seen · 87 lines · 128 tokens per session scan A d8b90fc5630f
ethical-thinking is a skill published in the GitHub repository ysskrishna/ai-agent-skills (8 stars, last pushed 3mo ago), licensed MIT. It adds 128 tokens to every session and 889 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 2026-08-31.
Other skills, from other repositories
marketing-skills-guide
Guide for marketing and growth skills including SEO, copywriting, CRO, email campaigns, paid ads, and product launch strategies.
dev-tools-skills-guide
Guide for development and code tools skills including document processing, browser automation, testing frameworks, and IDE integrations.
ai-llm-skills-guide
Guide for AI Agents and LLM development skills including RAG, multi-agent systems, prompt engineering, memory systems, and context engineering.
awesome-skills-overview
Guide for understanding and contributing to the awesome-skills curated resource list. Use this skill when adding resources, organizing categories, or maintaining README.md consistency (no duplicates).
agent-platforms
Guide for multi-platform skill compatibility across Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, and other AI coding agents.
security-skills-guide
Guide for security-related Agent Skills including penetration testing, code auditing, threat hunting, and forensics skills.