SKILLEMALL.ai

BC gdpr-audit

GDPR Compliance Audit — General Data Protection Regulation (EU) 2016/679 (GDPR). Free to install; scoring runs on the CQDev cloud compliance engine (free API Key, 100 free calls). Covers 25 core items. Use when: the user asks to run the gdpr-audit skill, or requests a GDPR 合规深度审计 / General Data Protection Regulation (EU) 2016/679 (GDPR). Trigger: gdpr-audit, GDPR 合规审计, 欧盟隐私审计, GDPR audit, 数据保护审计 Pricing: Free skill; cloud scoring uses points (Check 1 / Audit 10 per run) from compliancehub.cn Anonymous trial: no Key? The skill auto-runs up to 5 real cloud-scored trials (7-day window) with a local anon_id, then points you to one-click registration carrying your anon_id. ⚠️ Cloud scoring sends your answers to compliancehub.cn. `--non-interactive` preview lists the items WITHOUT sending answers; it attempts to fetch the latest rule set from the cloud rule library and falls back to a built-in snapshot when offline. 🔐 Account provisioning is OPT-IN via the web: register for a free API Key at https://compliancehub.cn/account.html?skill=gdpr-audit, then supply it to this skill via the COMPLIANCEHUB_API_KEY environment variable or ~/.config/compliancehub/gdpr-audit.key. This skill never collects your email/password. 💡 Free preview: --non-interactive lists the 25 items without a Key

ClawHub Agent Skills author: Wei Wu v2.0.2 MIT-0 6 files body ≈ 1 027 tokens Open the sourceclawhub.ai analyzed 3 d ago

GDPR Compliance Audit — General Data Protection Regulation (EU) 2016/679 (GDPR).

As a process C 52/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerLegalSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
100
Quality 40%
58
Run on models
none yet
Process rating
C
52/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Shorten the description to 1024 characters.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1298 chars, limit 1024
  • note frontmatter-key unknown frontmatter key "permissions"

Process rating: all ten parameters 52/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 55Failures and branches. 1 branches
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 100Steps. 13 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1027 tokens
  • 100Running it twice. No mutating operations
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 1297: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 13 items
  • +4Has examples (3 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.

External checks

ClawHub: clean
This GDPR audit skill is coherent and disclosed, with scored runs sending limited audit answers to compliancehub.cn.
LLM: benign (high) · VirusTotal: · 11 Aug 2026