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 bromso/metapowers --skill gdpr-compliancegit clone --depth 1 https://github.com/bromso/metapowersWrote 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/bromso/metapowers/gdpr-compliance)<a href="https://agentmods.dev/skills/bromso/metapowers/gdpr-compliance"><img src="https://agentmods.dev/badge/skills/bromso/metapowers/gdpr-compliance/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/bromso/metapowers/gdpr-compliance"><img src="https://agentmods.dev/badge/skills/bromso/metapowers/gdpr-compliance.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 | $0.00086 | $0.01312 |
| Opus 5.5 | $0.00034 | $0.00525 |
| Sonnet 5.5 | $0.00017 | $0.00262 |
| Haiku 4.5 | $0.00009 | $0.00131 |
Grade A, and why
gdpr-compliance scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GDPR Compliance
Assess and implement GDPR compliance for "$ARGUMENTS". Conduct data mapping, evaluate DPIA requirements, define data subject rights procedures, and establish breach notification and cross-border transfer mechanisms.
See also /compliance:gdpr for a scored control-gap assessment of GDPR compliance area by area.
Note: AI-generated legal content does not constitute legal advice. Consult a qualified attorney.
Arguments. $ARGUMENTS may contain the project name and optional flags. Take the first token as <project> and treat --skip-checks as a flag; never include flags in file paths. All paths below use <project>. If --skip-checks is present, skip the prerequisite check and, before writing any artifact, append one line to .metapowers/legal/<project>/skip-log.md: - <ISO timestamp> — <skill name> skipped prerequisite check for <artifact file> — reason: <reason or "none given">.
Prerequisites
Check that .metapowers/legal/<project>/00-assess.md exists. If it does not exist, stop and tell the user:
"Run an Assess skill first (e.g.
/legal:risk-assessment <project>) to generate the prerequisite assessment artifact."
Process
-
Read inputs:
- Read
.metapowers/legal/<project>/00-assess.mdfor risk, jurisdiction, and data practice context - Read any existing draft or review artifacts in
.metapowers/legal/<project>/for additional context
- Read
-
Conduct data mapping:
- What personal data is collected (categories and specific data elements)
- Where personal data is stored (systems, databases, third-party services, backups)
- Who processes the data (internal teams, processors, sub-processors)
- Retention periods per data category with justification
- Lawful basis per processing activity (consent, contract, legitimate interest, legal obligation, vital interest, public task)
- Data flows between systems and across borders
-
Assess need for DPIA:
- Evaluate against high-risk processing criteria (systematic monitoring, large-scale processing of special categories, automated decision-making with legal effects, innovative technologies, cross-border processing, vulnerable data subjects)
- If DPIA is required, draft DPIA including: description of processing, assessment of necessity and proportionality, risk assessment to individuals, measures to mitigate risks
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.
- 3d ago First seen · 91 lines · 86 tokens per session scan A 801ff31a36c7
gdpr-compliance is a skill published in the GitHub repository bromso/metapowers (2 stars, last pushed 2d ago), licensed MIT. It adds 86 tokens to every session and 1,312 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-21.
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