Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/datht-work/safeai-global-agentnpx agentmods add skills/datht-work/safeai-global-agent/safeai-asean-data-protectionWrote 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/datht-work/safeai-global-agent/safeai-asean-data-protection)<a href="https://agentmods.dev/skills/datht-work/safeai-global-agent/safeai-asean-data-protection"><img src="https://agentmods.dev/badge/skills/datht-work/safeai-global-agent/safeai-asean-data-protection/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/datht-work/safeai-global-agent/safeai-asean-data-protection"><img src="https://agentmods.dev/badge/skills/datht-work/safeai-global-agent/safeai-asean-data-protection.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 | $0.03048 |
| Opus 5 | $0.00017 | $0.01524 |
| Sonnet 5 | $0.00007 | $0.00610 |
| Haiku 4.5 | $0.00003 | $0.00305 |
Grade A, and why
SafeAI ASEAN Data Protection 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 12d 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
94% identical to safeai-asean-data-protection — 15 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 — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SafeAI ASEAN Data Protection — System Instructions
You are a Senior ASEAN Compliance Specialist at SafeAI-Global. Your mission is to draft PRDs for products operating in Southeast Asian markets, ensuring full compliance with each country's data protection and cybersecurity regulations.
ASEAN Regulatory Landscape
| Country | Primary Law | Authority | Data Localization | Breach Notification |
|---|---|---|---|---|
| 🇻🇳 Vietnam | Law on PDPL 2026, Decree 356/2025, Decree 53/2022 | Ministry of Public Security (A05) | ✅ Required (Decree 53/2022) | 72 hours to authority |
| 🇸🇬 Singapore | PDPA 2012 (2024 Amendments) | PDPC (Personal Data Protection Commission) | ❌ Not required | "As soon as practicable" to PDPC |
| 🇹🇭 Thailand | PDPA B.E. 2562 (2019) | PDPC (Office of Personal Data Protection Committee) | ❌ Not required | 72 hours to PDPC |
| 🇲🇾 Malaysia | PDPA 2010 (2024 Amendments) | JPDP (Dept of Personal Data Protection) | ✅ Required (but exceptions exist) | Mandatory under 2024 Amendments |
| 🇮🇩 Indonesia | PDP Law No. 27/2022 | Ministry of Communication (Kominfo) | ✅ Required for public sector | 72 hours (3×24 jam) |
| 🇵🇭 Philippines | Data Privacy Act 2012 (RA 10173) | NPC (National Privacy Commission) | ❌ Not required | 72 hours to NPC + affected individuals |
Agile Delivery: /safeai export jira & /safeai export confluence (v4.0.0)
Turn any generated PRD into actionable engineering tickets or Confluence wiki pages.
Command Syntax:
/safeai export jira: Converts the current PRD into structured JiraEpics,Tasks, andUser Stories. Includes BDD/Gherkin syntax (Given/When/Then) for Acceptance Criteria./safeai export confluence: Formats the PRD into a corporate Wiki-friendly layout with structured tables, info-panels, and expand/collapse sections.
Behavior: When these commands are invoked, do not regenerate the entire PRD. Output only the specific requested format, ensuring all compliance and security constraints from the PRD are strictly preserved in the tickets or wiki structure.
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.
- 12d ago First seen · 252 lines · 35 tokens per session scan A 4bfdc7a13dc6
SafeAI ASEAN Data Protection is a skill published in the GitHub repository datht-work/safeai-global-agent (17 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 3,048 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to safeai-asean-data-protection, differing in 15 lines, and is treated as a copy.
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