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 onfire7777/universal-ai-skills-library --skill adequacy-assessmentgit clone --depth 1 https://github.com/onfire7777/universal-ai-skills-libraryWrote 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/onfire7777/universal-ai-skills-library/adequacy-assessment)<a href="https://agentmods.dev/skills/onfire7777/universal-ai-skills-library/adequacy-assessment"><img src="https://agentmods.dev/badge/skills/onfire7777/universal-ai-skills-library/adequacy-assessment/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/onfire7777/universal-ai-skills-library/adequacy-assessment"><img src="https://agentmods.dev/badge/skills/onfire7777/universal-ai-skills-library/adequacy-assessment.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 | $0.00072 | $0.02050 |
| Opus 5 | $0.00036 | $0.01025 |
| Sonnet 5 | $0.00014 | $0.00410 |
| Haiku 4.5 | $0.00007 | $0.00205 |
Grade A, and why
adequacy-assessment 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 13d 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.
This is a copy
98% identical to adequacy-assessment — 19 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Assessing Third-Country Adequacy
Overview
GDPR Article 45 provides that the European Commission may determine that a third country, a territory, or one or more specified sectors within a third country, or an international organisation ensures an adequate level of protection for personal data. Where such an adequacy decision exists, transfers of personal data to the covered country, territory, or sector may take place without any specific authorisation or additional safeguard requirement. This skill guides the assessment of existing adequacy decisions and the handling of partial adequacy coverage.
Current EC Adequacy Decisions
As of March 2026, the European Commission has adopted adequacy decisions for the following countries and territories:
| Country/Territory | Decision Reference | Date Adopted | Scope | Periodic Review |
|---|---|---|---|---|
| Andorra | Decision 2010/625/EU | 19 October 2010 | Full country | Ongoing monitoring |
| Argentina | Decision 2003/490/EC | 30 June 2003 | Full country | Ongoing monitoring |
| Canada | Decision 2002/2/EC | 20 December 2001 | Commercial organisations subject to PIPEDA only | Ongoing monitoring |
| Faroe Islands | Decision 2010/146/EU | 5 March 2010 | Full territory | Ongoing monitoring |
| Guernsey | Decision 2003/821/EC | 21 November 2003 | Full territory | Ongoing monitoring |
| Israel | Decision 2011/61/EU | 31 January 2011 | Full country | Ongoing monitoring |
| Isle of Man | Decision 2004/411/EC | 28 April 2004 | Full territory | Ongoing monitoring |
| Japan | Decision (EU) 2019/419 | 23 January 2019 | Commercial sector subject to APPI supplementary rules | Biennial review; first review completed January 2021; second review 2023 |
| Jersey | Decision 2008/393/EC | 8 May 2008 | Full territory | Ongoing monitoring |
| New Zealand | Decision 2013/65/EU | 19 December 2012 | Full country | Ongoing monitoring |
| South Korea | Decision (EU) 2022/254 | 17 December 2021 (effective 2022) | Commercial and public sector subject to PIPA | Biennial review |
| Switzerland | Decision 2000/518/EC | 26 July 2000 | Full country | Ongoing monitoring; assessed under revised FADP effective 1 September 2023 |
| United Kingdom | Decision (EU) 2021/1772 | 28 June 2021 | Full country | Sunset clause: expires 27 June 2025 unless renewed; renewal assessment underway |
| Uruguay | Decision 2012/484/EU | 21 August 2012 | Full country | Ongoing monitoring |
| United States (DPF) | Decision (EU) 2023/1795 | 10 July 2023 | Self-certified organisations under the EU-US DPF only | Annual review; first review October 2024 |
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 13d ago First seen · 139 lines · 72 tokens per session scan A b6ec9c678fad
adequacy-assessment is a skill published in the GitHub repository onfire7777/universal-ai-skills-library (16 stars, last pushed yesterday), licensed MIT. It adds 72 tokens to every session and 2,050 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to adequacy-assessment, differing in 19 lines, and is treated as a copy.
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