DevOps & Security Agent Skills is a knowledge base of agent-readable skills covering software delivery, cloud infrastructure, security, compliance, AI operations, and incident response. It is for SRE, platform, infrastructure, and security teams using agents to work with systems such as Kubernetes, Terraform, and major cloud platforms. The catalogue provides a selection of the project's skills for agents including Claude Code, Cursor, and Codex.
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 BagelHole/DevOps-Security-Agent-Skills --skill gdpr-compliancegit clone --depth 1 https://github.com/BagelHole/DevOps-Security-Agent-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/bagelhole/devops-security-agent-skills/gdpr-compliance)<a href="https://agentmods.dev/skills/bagelhole/devops-security-agent-skills/gdpr-compliance"><img src="https://agentmods.dev/badge/skills/bagelhole/devops-security-agent-skills/gdpr-compliance/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/bagelhole/devops-security-agent-skills/gdpr-compliance"><img src="https://agentmods.dev/badge/skills/bagelhole/devops-security-agent-skills/gdpr-compliance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00031 | $0.04349 |
| Opus 5.5 | $0.00012 | $0.01740 |
| Sonnet 5.5 | $0.00006 | $0.00870 |
| Haiku 4.5 | $0.00003 | $0.00435 |
Grade A, and why
gdpr-compliance 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 2mo 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 — 561 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GDPR Compliance
Implement General Data Protection Regulation requirements for organizations that process personal data of EU/EEA residents, covering lawful processing, data subject rights, and technical safeguards.
When to Use
- Processing personal data of EU/EEA residents in any capacity
- Building consent management and preference centers
- Implementing Data Subject Access Request (DSAR) workflows
- Conducting Data Protection Impact Assessments (DPIAs)
- Setting up data processing agreements with third-party processors
- Designing systems with privacy by design and by default principles
Key Principles and Legal Bases
gdpr_principles:
article_5:
lawfulness_fairness_transparency:
description: "Process data lawfully, fairly, and transparently"
implementation:
- Document legal basis for every processing activity
- Provide clear privacy notices
- No hidden or deceptive data collection
purpose_limitation:
description: "Collect for specified, explicit, and legitimate purposes"
implementation:
- Define purpose before collection
- Do not repurpose data without new legal basis
- Document all processing purposes in ROPA
data_minimization:
description: "Adequate, relevant, and limited to what is necessary"
implementation:
- Collect only required fields
- Review data models for unnecessary fields
- Remove optional fields that are not used
accuracy:
description: "Accurate and kept up to date"
implementation:
- Provide self-service profile editing
- Implement data validation at point of entry
- Schedule regular data quality reviews
storage_limitation:
description: "Kept no longer than necessary"
implementation:
- Define retention periods per data category
- Automate deletion when retention expires
- Document retention schedule
integrity_and_confidentiality:
description: "Appropriate security measures"
implementation:
- Encryption at rest and in transit
- Access controls and audit logging
- Pseudonymization where appropriate
accountability:
description: "Demonstrate compliance"
implementation:
- Maintain Records of Processing Activities
- Conduct DPIAs for high-risk processing
- Appoint DPO if required
legal_bases:
article_6:
consent: "Freely given, specific, informed, unambiguous"
contract: "Necessary for performance of a contract"
legal_obligation: "Required by EU or member state law"
vital_interests: "Protect life of data subject or another person"
public_interest: "Task carried out in public interest"
legitimate_interest: "Legitimate interest not overridden by data subject rights"
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.
- 2mo ago First seen · 561 lines · 31 tokens per session scan A 9e4e44f70a2d
gdpr-compliance is a skill published in the GitHub repository BagelHole/DevOps-Security-Agent-Skills (1,182 stars, last pushed 5mo ago), licensed MIT. It adds 31 tokens to every session and 4,349 once invoked, about $0.0001 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.
Other skills, from other repositories
compliance
Use when scoping which regulatory frameworks bind a business — SOC 2, ISO 27001, HIPAA, PCI DSS, EU AI Act, DORA, NIS2 — building a control register with owners and evidence, or standing up the cadence that keeps it audit-ready. NOT drafting privacy-policy/ROPA/DPA or ToS text (that is gdpr-privacy, terms-conditions)…
cmmc-assessment-objectives
Verbatim reference for all 320 NIST 800-171A Rev 2 assessment objectives, plus the Rev 2 → Rev 3 control crosswalk. Use for AO-level lookups (e.g., 3.1.1[c]), evidence planning, and forward-mapping to Rev 3. Pairs with cmmc-expert.
eu-nis2-expert
EU NIS2 Directive (Directive (EU) 2022/2555) expert. Reference-depth knowledge of essential vs important entity classification, Article 20 governance, the Article 21 ten cybersecurity risk-management measures, the Article 23 24h/72h/1mo incident-reporting timeline, and supervision/enforcement under Articles 32-34.…
gdpr-expert
GDPR expert for EU privacy compliance. Deep knowledge of General Data Protection Regulation including 99 articles, 7 principles, 6 lawful bases, data subject rights, DPO requirements, DPIA, breach notification, cross-border transfers, and enforcement.
glba-expert
GLBA expert for financial institutions. Deep knowledge of Gramm-Leach-Bliley Act including Safeguards Rule (16 CFR Part 314), Privacy Rule (16 CFR Part 313), FTC enforcement, information security program requirements, vendor management, and consumer privacy notices.
stateramp-expert
StateRAMP expert for state and local government cloud services. Deep knowledge of State Risk and Authorization Management Program including Low/Moderate impact levels, NIST 800-53 controls, state-specific requirements, FedRAMP alignment, and multi-state authorization strategies.