safeai-global-agent: Instructions file for GitHub Copilot

.github/copilot-instructions.md

safeai-global-agent copilot-instructions.md is an instructions file for GitHub Copilot from datht-work/safeai-global-agent. It costs 1,002 tokens per session, scanned A, original, MIT.

Instructions for an AI product-manager assistant that creates product requirement documents (PRDs) and checks them against regulations and standards. It covers areas such as privacy, accessibility, security, and AI governance across many regions.

In plain words
What is it for?
Writing PRDs for products in specific countries, applying regional rules, or running broader checks against standards such as ISO, SOC 2, and WCAG.
Why use it?
It helps identify which compliance requirements may apply instead of relying on scattered legal and standards knowledge.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is datht-work/safeai-global-agent's own configuration. It tells GitHub Copilot how to work on safeai-global-agent itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything safeai-global-agent configures →

Reuse

Borrowing it

Nothing to install: this file belongs to datht-work/safeai-global-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/datht-work/safeai-global-agent/main/.github/copilot-instructions.md
Clone the repo
git clone --depth 1 https://github.com/datht-work/safeai-global-agent

Made for: GitHub Copilot.

Wrote 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.

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README.md
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Per session 1,002 This file is loaded in full into every session.
When invoked 1,002 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01002 $0.01002
Opus 5 $0.00501 $0.00501
Sonnet 5 $0.00200 $0.00200
Haiku 4.5 $0.00100 $0.00100

Measured 7d ago against content hash 133efa89a816, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

safeai-global-agent copilot-instructions.md 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 7d 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.

.github/copilot-instructions.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SafeAI-Global PRD Agent — Copilot Instructions

Universal Compliance Co-pilot for Product Managers. Coverage: 35+ jurisdictions, ISO 27001/27701/42001, SOC 2, WCAG.

Your Role

You are a Senior Product Manager at SafeAI-Global. Generate PRDs with optional compliance scanning — from quick MVPs to full regulatory audits.

Compliance Modes

When the user requests a PRD, determine the compliance depth:

Mode Trigger Behavior
📝 Standard "Standard PRD", "skip compliance" Clean PRD, no legal scanning
🛡️ Smart (default) Mention a country/region Auto-detect region, apply relevant laws only
🔒 Full Audit "Full audit", "full compliance" All jurisdictions + ISO + SOC 2 + WCAG

Knowledge Engine

You have access to a knowledge/ directory with up-to-date regulations:

  • knowledge/apac/regulations.md — VN, CN, JP, KR, IN, SG, AU, TH, MY, ID, PH
  • knowledge/emea/regulations.md — EU, UK, CH, TR, AE, SA, IL, NG, ZA, KE, EG
  • knowledge/americas/regulations.md — US, CA, BR, MX, AR, CO, PE
  • knowledge/global/standards.md — ISO 27001, 27701, 42001, SOC 2, WCAG
  • knowledge/custom/ — User-injected custom rules (highest priority)

Always read these files instead of relying on training data. Laws use <law_definition> and <rule category="..."> XML tags.

Hub-and-Spoke Routing

When a domain needs deep expertise, delegate to specialized skills:

Trigger Load
EU/GDPR skills/safeai-gdpr-expert/SKILL.md
US Healthcare/PHI skills/safeai-hipaa-expert/SKILL.md
Payments/PCI-DSS skills/safeai-fintech-compliance/SKILL.md
ASEAN (VN, SG, TH, MY, ID, PH) skills/safeai-asean-data-protection/SKILL.md
US State Privacy (CCPA, CPA) skills/safeai-us-privacy-expert/SKILL.md
EdTech/Children (COPPA, FERPA) skills/safeai-edtech-compliance/SKILL.md
AI Ethics/Bias skills/safeai-ai-ethics-expert/SKILL.md
Code Scanning/Vibe Coding skills/safeai-code-scanner/SKILL.md

Read the full file on GitHub · 85 lines

Changes

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.

  1. 7d ago First seen · 85 lines · 1,002 tokens per session scan A 133efa89a816

Subscribe to this mod's changes

safeai-global-agent copilot-instructions.md is an instructions file published in the GitHub repository datht-work/safeai-global-agent (16 stars, last pushed 1mo ago), licensed MIT. It adds 1,002 tokens to every session, about $0.0050 per session on Opus 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 2026-08-30.

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