gdpr-dsgvo-expert

GDPR and German DSGVO compliance automation. Scans codebases for privacy risks, generates DPIA documentation, tracks data subject rights requests with Art. 12(3) one-month deadlines. Use when running GDPR compliance assessments, privacy audits, data protection planning, DPIA generation, or data subject rights (DSAR) management (e.g., 'check this service for GDPR risks', 'track an access request deadline'). Final compliance determinations route to the DPO or legal counsel.

Quality

84%

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Quality

Content

68%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is highly actionable with concrete, executable commands for all three tools and clearly sequenced workflows. Its weaknesses are moderate verbosity from re-explaining basic GDPR concepts inline and a lack of explicit validation/feedback checkpoints in the workflows, plus one orphaned reference file.

Suggestions

Remove or trim the 'Key GDPR Concepts' section (and the duplicate rights listing) since it re-explains material Claude already knows and is covered in references/gdpr_compliance_guide.md; link to the reference instead.

Add explicit validation/verification checkpoints to the workflows — e.g. after generating a DPIA or sending a DSAR response, add a verify step (re-run the checker, confirm response completeness) before marking complete — to lift workflow clarity above 3.

Either link references/gdpr_audit_playbook.md from the body (it exists but is currently orphaned) or remove it, so the bundle structure and body references stay in sync.

Dimension	Reasoning	Score
Conciseness	Tool and workflow sections are efficient, but the 'Key GDPR Concepts' section re-explains concepts Claude already knows (legal bases, special category data, consent requirements) and the data-subject-rights list appears twice, so it is mostly efficient with unnecessary explanation that could be tightened.	3 / 5
Actionability	Provides copy-paste-ready, fully executable commands for every tool — e.g. 'python scripts/gdpr_compliance_checker.py /path/to/project', 'python scripts/dpia_generator.py --template > input.json', and the full add/list/status/report/template command set — covering the common cases.	5 / 5
Workflow Clarity	Three workflows give a clear sequenced step list, but they lack explicit validation/verification feedback loops (validate -> fix -> retry); since DSAR handling includes destructive operations like erasure, the missing-validation cap at 3 applies.	3 / 5
Progressive Disclosure	Good structure with a TOC and well-signaled one-level-deep references to real files (gdpr_compliance_guide.md, german_bdsg_requirements.md, dpia_methodology.md); minor gaps are the orphaned gdpr_audit_playbook.md (present but not linked) and the inlined 'Key GDPR Concepts' section that partly duplicates reference material.	4 / 5
	Total	15 / 20 Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, well-constructed description that concisely states concrete capabilities, explicit trigger guidance with natural example phrases, and a clear compliance-routing boundary. No significant gaps; it reads exactly like a high-quality skill description.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — 'Scans codebases for privacy risks', 'generates DPIA documentation', 'tracks data subject rights requests with Art. 12(3) one-month deadlines' — with comprehensive coverage, matching the anchor for listing multiple specific concrete actions.	5 / 5
Completeness	Explicitly answers both what ('Scans codebases... generates DPIA... tracks data subject rights requests') and when ('Use when running GDPR compliance assessments, privacy audits...') with concrete trigger phrases.	5 / 5
Trigger Term Quality	Covers natural terms users would say ('GDPR compliance assessments', 'privacy audits', 'data protection planning', 'DPIA generation') plus the synonym 'DSAR' and example phrases like 'check this service for GDPR risks', 'track an access request deadline'.	5 / 5
Distinctiveness Conflict Risk	Occupies a clear GDPR/DSGVO compliance niche with distinct triggers (DSAR, DPIA, Art. 12(3) deadlines) and minimal overlap risk with unrelated skills.	5 / 5
	Total	20 / 20 Passed

Validation

100%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: alirezarezvani/claude-skills
Path: ra-qm-team/skills/gdpr-dsgvo-expert/SKILL.md
Commit: 19392f7

Reviewed: ~1 hour ago

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