SKILLEMALL.ai

AB privacy-solution-scorecard

Evaluate and compare privacy solution vendors with a weighted scorecard across 12 criteria. Use when selecting privacy management software, comparing data protection tools, evaluating consent management platforms, assessing privacy vendor proposals, or building a privacy tool business case.

ClawHub Agent Skills author: ToolWeb v1.0.0 MIT-0 3 files body ≈ 2 183 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process B 67/100 · Nearly there — weak spots: when it triggers, consistency, running it twice

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
B
67/100
Nearly there
When it triggers w 12
20
Running it twice w 4
30
Consistency w 8
40
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: ClawHub

How to improve

    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: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 67/100

    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 7 mutating operations with no state check
    • 40Consistency. Frontmatter name (privacy-solution-scorecard) differs from the folder (k8s-network-policy-generator)
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 64 steps
    • 100Failures and branches. 3 branches, has a failure section
    • 100Execution cost. Instruction body is 2183 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 12 top-level sections: this looks like several domains in one skill

    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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 291: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 64 items
    • +3Output format is stated explicitly
    • +4Has examples (3 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: suspicious
    This package looks like a privacy-vendor scorecard skill, but its registry identity says Kubernetes Network Policy Generator and it sends submitted business evaluation details to ToolWeb.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026