sg-gov-data-protection

sg-gov-data-protection is a skill for Claude Code from kyleoliveiro/sg-gov-skills. It costs 214 tokens per session (2,947 once invoked), scanned A, original, MIT.

A data-protection guide for Singapore government systems based on ICT&SS Policy Reform controls. It covers where government data is stored and processed, encryption, cloud tenancy, loss prevention, sanitisation, and destruction.

In plain words
What is it for?
Use it to review data residency, backups and disaster recovery locations, encryption, cloud storage, data-loss prevention, media destruction, and user data-classification guidance.
Why use it?
It helps prevent data from reaching unauthorised regions or services and provides a checklist for protecting data throughout storage, transfer, and disposal.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the cybersecurity plugin — 10 skills shipped together

Good fit Use it to review data residency, backups and disaster recovery locations, encryption, cloud storage, data-loss prevention, media destruction, and user data-classification guidance.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kyleoliveiro/sg-gov-skills/sg-gov-data-protection
Install

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.

Any agent
npx skills add kyleoliveiro/sg-gov-skills --skill sg-gov-data-protection
Clone the repo
git clone --depth 1 https://github.com/kyleoliveiro/sg-gov-skills

Made for: Claude Code.

Or install cybersecurity, the plugin that ships this one along with the rest of its 10 skills.

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.

agentmods badge for sg-gov-data-protection

README.md
[![agentmods](https://agentmods.dev/badge/skills/kyleoliveiro/sg-gov-skills/sg-gov-data-protection/github.svg)](https://agentmods.dev/skills/kyleoliveiro/sg-gov-skills/sg-gov-data-protection)
Your own site
<a href="https://agentmods.dev/skills/kyleoliveiro/sg-gov-skills/sg-gov-data-protection"><img src="https://agentmods.dev/badge/skills/kyleoliveiro/sg-gov-skills/sg-gov-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.

agentmods 80×15 button for sg-gov-data-protection

Your own site · 80×15
<a href="https://agentmods.dev/skills/kyleoliveiro/sg-gov-skills/sg-gov-data-protection"><img src="https://agentmods.dev/badge/skills/kyleoliveiro/sg-gov-skills/sg-gov-data-protection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 214 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,947 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00214 $0.02947
Opus 5.5 $0.00086 $0.01179
Sonnet 5.5 $0.00043 $0.00589
Haiku 4.5 $0.00021 $0.00295

Measured 7d ago against content hash 3f81e47b84d4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

sg-gov-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 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.

skills/sg-gov-data-protection/SKILL.md · 202 lines

How it starts

The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.

sg-gov-data-protection: DP controls for SG government systems

You are building or auditing how a system stores, moves, and disposes of government data against the ICT&SS Policy Reform Data Protection family (DP-1..DP-8): where data may reside, encryption at rest and in transit, the cloud tenancy it lives in, sanitising and destroying the media it touched, preventing loss in flight, and telling users what classification they may put in.

Two points apply throughout:

  1. DP-1 (data residency) sits in the Level-0 spine of every published SSP. It is mandatory, with no deviation path, for cloud and on-prem alike. Residency cannot be traded away, and breaches are easy to miss: a cross-region replica, an overseas DR target, or a managed service that processes in another region breaches it without any code change.
  2. The data classification determines the strength of everything else. Confirm the maximum classification (and sensitivity tier) with the data owner before assessing any DP control. Do not proceed on an assumption such as "we think it's just OPEN data".

What this family is not about

  • Encryption algorithms and key management are CK (sg-gov-secure-coding-as). DP-2/DP-3 say that data at rest and in transit must be encrypted; the CK family owns how: the approved algorithms, key storage, and rotation. A weak cipher or a mishandled key is a CK finding, not a DP one.
  • GenAI input safeguards are the Gen-AI overlay (sg-gov-gen-ai-security). For GenAI features, DLP on uploads is GA-6 and the classification disclosure at model inputs is DP-8 as shipped with that overlay. This skill owns DP-8 for ordinary internal applications and DP-7 for general data flows.
  • Backups are BR (sg-gov-resiliency-recovery), access logs are LM (sg-gov-logging-monitoring). DP-1 still constrains where backups and logs may reside, but their lifecycle belongs to those families.
  • The PDPA trap. Singapore public agencies are excluded from the PDPA; the public sector regime is the Public Sector (Governance) Act (PSGA) plus the ICT&SS/IM8 policies themselves, with criminal penalties for unauthorised disclosure or misuse of data by public officers. "The PDPA doesn't apply to us" is true but does not change these obligations; vendors additionally carry them by contract. Never let a PDPA-exclusion claim excuse a DP control. (Context, not legal advice; route legal questions to the agency's counsel.)

Read the full file on GitHub · 202 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 202 lines · 214 tokens per session scan A 3f81e47b84d4

Subscribe to this mod's changes

sg-gov-data-protection is a skill published in the GitHub repository kyleoliveiro/sg-gov-skills (17 stars, last pushed 7d ago), licensed MIT. It adds 214 tokens to every session and 2,947 once invoked, about $0.0009 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 2026-11-03.

Related

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