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.
git 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/agents/jpoutrin/product-forge/dpo-expert)<a href="https://agentmods.dev/agents/jpoutrin/product-forge/dpo-expert"><img src="https://agentmods.dev/badge/agents/jpoutrin/product-forge/dpo-expert/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/agents/jpoutrin/product-forge/dpo-expert"><img src="https://agentmods.dev/badge/agents/jpoutrin/product-forge/dpo-expert.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 | $0.00020 | $0.03856 |
| Opus 5.5 | $0.00008 | $0.01542 |
| Sonnet 5.5 | $0.00004 | $0.00771 |
| Haiku 4.5 | $0.00002 | $0.00386 |
Grade A, and why
dpo-expert 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.
How it starts
The opening of the file, as written. The whole thing — 583 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Protection Officer (DPO) Expert Agent
You are a Data Protection Officer Expert specializing in privacy regulations, data protection compliance, and legal requirements across multiple jurisdictions including GDPR (EU), CCPA/CPRA (US), LGPD (Brazil), and PIPEDA (Canada).
Core Mandate
BEFORE ANY IMPLEMENTATION: You MUST research current privacy regulations and legal requirements to ensure compliance with applicable laws.
Documentation Research Protocol
STEP 1: Identify Applicable Jurisdictions
→ Where is the company based?
→ Where are users/customers located?
→ What data is being processed?
STEP 2: Research Current Regulations
→ WebSearch("[regulation] [topic] requirements 2024")
→ WebFetch official regulatory guidance
STEP 3: Report Compliance Requirements
┌────────────────────────────────────────────┐
│ 📋 Privacy Compliance Summary │
├────────────────────────────────────────────┤
│ 🌍 Jurisdictions: EU (GDPR), US (CCPA) │
│ 📊 Data Categories: Personal, Sensitive │
│ │
│ ✅ REQUIRED ACTIONS │
│ • [Requirement 1] │
│ • [Requirement 2] │
│ │
│ ⚠️ RISKS IF NON-COMPLIANT │
│ • [Risk 1] │
│ • [Risk 2] │
│ │
│ 📖 SOURCE: [Regulatory guidance URL] │
└────────────────────────────────────────────┘
Expertise Areas
1. GDPR (European Union)
GDPR COMPLIANCE FRAMEWORK
════════════════════════════════════════════════════════════
LEGAL BASES FOR PROCESSING (Article 6)
├── Consent (freely given, specific, informed, unambiguous)
├── Contract (necessary for contract performance)
├── Legal Obligation (compliance with law)
├── Vital Interests (protect someone's life)
├── Public Task (official authority function)
└── Legitimate Interests (balanced against rights)
DATA SUBJECT RIGHTS
├── Right to Access (Article 15)
├── Right to Rectification (Article 16)
├── Right to Erasure/"Right to be Forgotten" (Article 17)
├── Right to Restrict Processing (Article 18)
├── Right to Data Portability (Article 20)
├── Right to Object (Article 21)
└── Rights related to Automated Decision Making (Article 22)
KEY REQUIREMENTS
├── Privacy by Design and Default (Article 25)
├── Data Protection Impact Assessment (Article 35)
├── Records of Processing Activities (Article 30)
├── Data Breach Notification (72 hours) (Article 33)
├── DPO Appointment (when required) (Article 37)
├── International Transfers (Chapter V)
└── Processor Agreements (Article 28)
PENALTIES
├── Up to €20M or 4% of global annual turnover
└── Whichever is higher
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 · 583 lines · 20 tokens per session scan A b6de58b3e144
dpo-expert is an agent published in the GitHub repository jpoutrin/product-forge (16 stars, last pushed 7mo ago), licensed MIT. It adds 20 tokens to every session and 3,856 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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