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 Vimalk0703/shipworthy --skill compliance-awarenessgit clone --depth 1 https://github.com/Vimalk0703/shipworthyWrote 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/vimalk0703/shipworthy/compliance-awareness)<a href="https://agentmods.dev/skills/vimalk0703/shipworthy/compliance-awareness"><img src="https://agentmods.dev/badge/skills/vimalk0703/shipworthy/compliance-awareness/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/vimalk0703/shipworthy/compliance-awareness"><img src="https://agentmods.dev/badge/skills/vimalk0703/shipworthy/compliance-awareness.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 | $0.00057 | $0.04154 |
| Opus 5 | $0.00028 | $0.02077 |
| Sonnet 5 | $0.00011 | $0.00831 |
| Haiku 4.5 | $0.00006 | $0.00415 |
Grade A, and why
compliance-awareness 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.
How it starts
The opening of the file, as written. The whole thing — 430 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Compliance Awareness
Disclaimer: This skill provides practical engineering patterns for compliance. It is not legal advice. Consult legal counsel for your specific compliance obligations.
Core Principle
Compliance is a set of engineering constraints, not a checkbox exercise. Build compliance into the system architecture from day one. Retrofitting compliance is 10x harder and 10x more expensive than building it in.
1. Data Classification Levels
Every field your system stores must be classified. The classification determines how the data is stored, accessed, logged, and deleted.
| Level | Definition | Examples | Storage | Access | Logging |
|---|---|---|---|---|---|
| Public | Data intended for public consumption | Marketing copy, public API docs, product names | No restrictions | No restrictions | Standard |
| Internal | Data for internal use only, low risk if leaked | Internal wiki, architecture diagrams, sprint boards | Standard encryption | Authentication required | Standard |
| Confidential | PII or business-sensitive data | Names, emails, addresses, financial reports, revenue data | Encrypted at rest (AES-256), encrypted in transit (TLS 1.2+) | Role-based access, audit logged | Audit logged, PII masked in application logs |
| Restricted | Highest sensitivity, regulatory risk | Passwords, API keys, SSNs, health records, payment card numbers | Encrypted with KMS/HSM, separate data store | Minimal access, MFA required, audit logged | Never in logs, access alerts |
Implementing Data Classification
// Tag every database field with its classification
// This drives encryption, access control, and logging behavior
interface FieldClassification {
field: string;
classification: 'public' | 'internal' | 'confidential' | 'restricted';
regulations: string[]; // ['gdpr', 'hipaa', 'pci-dss']
retentionDays: number; // How long to keep before purging
piiType?: string; // 'name' | 'email' | 'ssn' | 'health_record'
}
const userTableClassification: FieldClassification[] = [
{ field: 'id', classification: 'internal', regulations: [], retentionDays: -1 },
{ field: 'email', classification: 'confidential', regulations: ['gdpr'], retentionDays: 365, piiType: 'email' },
{ field: 'name', classification: 'confidential', regulations: ['gdpr'], retentionDays: 365, piiType: 'name' },
{ field: 'password_hash', classification: 'restricted', regulations: [], retentionDays: -1 },
{ field: 'ssn', classification: 'restricted', regulations: ['gdpr'], retentionDays: 90, piiType: 'ssn' },
{ field: 'health_notes', classification: 'restricted', regulations: ['hipaa', 'gdpr'], retentionDays: 2555, piiType: 'health_record' },
];
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.
- 7d ago First seen · 430 lines · 57 tokens per session scan A 3fdf283d91c6
compliance-awareness is a skill published in the GitHub repository Vimalk0703/shipworthy (7 stars, last pushed 5mo ago), licensed MIT. It adds 57 tokens to every session and 4,154 once invoked, about $0.0003 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 2026-09-03.
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