SKILLEMALL.ai

AC eu-ai-act-risk-classification-memo

Use this skill when an AI-governance lead, in-house counsel, DPO, or product owner needs to draft a risk-classification memo for an AI system under the EU AI Act (Regulation (EU) 2024/1689). Walks Article 5 prohibited-practice screen, Annex III high-risk mapping, GPAI tier, and produces a counsel-ready memo with a dated action checklist through August 2027.

ClawHub Agent Skills author: devasher v0.1.2 MIT-0 4 files body ≈ 5 830 tokens Open the sourceclawhub.ai analyzed 27 h ago

Use this skill when an AI-governance lead, in-house counsel, DPO, or product owner needs to draft a risk-classification memo for an AI system under the EU AI…

As a process C 64/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, running it twice

GeneratorWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
C
64/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5830 tokens (recommended < 5000); move details to references/
  • note edit-residue the text marks something as outdated (lines 86): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 64/100

  • 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
  • 30Running it twice. 16 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70Failures and branches. 4 branches
  • 70Execution cost. Instruction body is 5830 tokens
  • 100Tools and files. No external tools needed
  • 100Steps. 40 steps
  • 100Consistency. Name and required fields are in place
  • 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 359: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 40 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: clean
This is a Markdown-only EU AI Act memo-drafting skill with no executable code, hidden data transfer, persistence, or credential access.
LLM: benign (high) · VirusTotal: · 28 May 2026