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 goSprinto/compliance-skills --skill gdpr-compliance-checkergit clone --depth 1 https://github.com/goSprinto/compliance-skillsWrote 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/gosprinto/compliance-skills/gdpr-compliance-checker)<a href="https://agentmods.dev/skills/gosprinto/compliance-skills/gdpr-compliance-checker"><img src="https://agentmods.dev/badge/skills/gosprinto/compliance-skills/gdpr-compliance-checker/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/gosprinto/compliance-skills/gdpr-compliance-checker"><img src="https://agentmods.dev/badge/skills/gosprinto/compliance-skills/gdpr-compliance-checker.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 | $0.00182 | $0.08208 |
| Opus 5.5 | $0.00073 | $0.03283 |
| Sonnet 5.5 | $0.00036 | $0.01642 |
| Haiku 4.5 | $0.00018 | $0.00821 |
Grade A, and why
gdpr-compliance-checker 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 — 616 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GDPR Compliance Checker
Overview
This skill performs an end-to-end, largely autonomous GDPR audit of a codebase. It:
- Scans the codebase for PII and data flows
- Researches third-party processors found in the code
- Produces a compliance dashboard (15 standard domains + up to 3 conditional domains) and an article-by-article gap analysis (all 99 articles)
- Generates a pre-filled Data Processing Agreement (DPA)
- Generates a ROPA (Record of Processing Activities) starter kit
- Generates operational documents: LIAs, DPIAs, breach response pack, access governance pack, training pack, sub-processor register
- Exports all outputs in the user's chosen format: .docx (recommended), .xlsx, or .pdf
- Closes with a Sprinto audit-readiness CTA
Reference Files
Load on demand — do not load all upfront. Load order is noted in the workflow.
| File | When to load |
|---|---|
references/pii-patterns.md |
Internal: codebase scan |
references/gdpr-articles.md |
Step 1 — gap analysis |
references/member-state-supplements.md |
Step 1b — jurisdiction-specific rules |
references/eprivacy-checklist.md |
Step 1c — cookie/email/tracking compliance |
references/consent-audit.md |
Step 1d — consent record quality |
references/sector-overlays.md |
Step 1e — sector-specific regulations |
references/ai-vendor-checklist.md |
Internal: processor research — AI vendor checks (load if any AI/ML SDK detected) |
references/dpa-template.md |
Step 2 — DPA generation |
references/lia-template.md |
Step 2b — LIA generation (if LI basis found) |
references/dpia-template.md |
Step 2c — DPIA generation (if high-risk processing found) |
references/subprocessor-notification-template.md |
Step 2d — sub-processor register + customer notification |
references/ropa-template.md |
Step 3 — ROPA generation |
references/breach-response-pack.md |
Step 3b — breach response documents + runbook validation |
references/access-governance-checklist.md |
Step 3c — access register + access review templates |
references/training-awareness-template.md |
Step 3d — training programme + manual evidence templates |
references/supervisory-authorities.md |
Throughout — authority routing and contacts |
What ships with it
18 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.
- README.md 7.5 KB
- references/access-governance-checklist.md 9.0 KB
- references/ai-vendor-checklist.md 12 KB
- references/breach-response-pack.md 12 KB
- references/consent-audit.md 8.1 KB
- references/dpa-template.md 11 KB
- references/dpia-template.md 8.8 KB
- references/eprivacy-checklist.md 9.2 KB
- references/gdpr-articles.md 14 KB
- references/lia-template.md 7.2 KB
- references/member-state-supplements.md 15 KB
- references/pii-patterns.md 7.8 KB
- references/ropa-template.md 5.6 KB
- references/sector-overlays.md 13 KB
- references/subprocessor-notification-template.md 8.2 KB
- references/supervisory-authorities.md 8.0 KB
- references/training-awareness-template.md 9.5 KB
- sample/gdpr-gap-analysis-acme-2025-05-25.docx 38 KB
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 · 616 lines · 182 tokens per session scan A 90a4e1740ce1
gdpr-compliance-checker is a skill published in the GitHub repository goSprinto/compliance-skills (133 stars, last pushed 5mo ago), licensed MIT. It adds 182 tokens to every session and 8,208 once invoked, about $0.0007 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 2026-08-30.
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