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 jpoutrin/product-forge --skill privacy-compliancegit clone --depth 1 https://github.com/jpoutrin/product-forgeWrote 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/jpoutrin/product-forge/privacy-compliance)<a href="https://agentmods.dev/skills/jpoutrin/product-forge/privacy-compliance"><img src="https://agentmods.dev/badge/skills/jpoutrin/product-forge/privacy-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/jpoutrin/product-forge/privacy-compliance"><img src="https://agentmods.dev/badge/skills/jpoutrin/product-forge/privacy-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 | $0.00035 | $0.00442 |
| Opus 5.5 | $0.00014 | $0.00177 |
| Sonnet 5.5 | $0.00007 | $0.00088 |
| Haiku 4.5 | $0.00003 | $0.00044 |
Grade A, and why
privacy-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 1mo 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.
What it actually says
Privacy Compliance Skill
This skill provides guidance for GDPR, CCPA, and other privacy regulations.
Key Regulations
| Regulation | Region | Key Requirements |
|---|---|---|
| GDPR | EU/EEA | Consent, data rights, breach notification |
| CCPA/CPRA | California | Right to know, delete, opt-out |
| LGPD | Brazil | Similar to GDPR |
| PIPEDA | Canada | Consent, limited collection |
GDPR Requirements
Lawful Bases for Processing
- Consent
- Contract
- Legal obligation
- Vital interests
- Public task
- Legitimate interests
Data Subject Rights
- Right to access
- Right to rectification
- Right to erasure ("right to be forgotten")
- Right to data portability
- Right to object
Implementation Patterns
Consent Management
@dataclass
class Consent:
user_id: str
purpose: str
granted_at: datetime
withdrawn_at: datetime | None
version: str
Data Minimization
# Only collect what's necessary
class UserRegistration(BaseModel):
email: str # Required for account
name: str # Required for personalization
# Don't collect: age, gender, location unless needed
Data Retention
RETENTION_POLICIES = {
"user_data": timedelta(days=365 * 2),
"logs": timedelta(days=90),
"analytics": timedelta(days=365),
}
Privacy Checklist
- Privacy policy published and accessible
- Consent obtained before data collection
- Data subject rights implemented
- Data minimization practiced
- Retention policies defined
- Breach notification process ready
- DPA (Data Processing Agreement) with vendors
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.
- 1mo ago First seen · 77 lines · 35 tokens per session scan A 8816f928aefb
privacy-compliance is a skill published in the GitHub repository jpoutrin/product-forge (16 stars, last pushed 7mo ago), licensed MIT. It adds 35 tokens to every session and 442 once invoked, about $0.0001 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 2026-09-03.
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