SKILLEMALL.ai

BC Compliance & Audit Readiness Engine

Your AI compliance officer. Guides startups and scale-ups through SOC 2, ISO 27001, GDPR, HIPAA, and PCI DSS — from zero to audit-ready. No consultants needed.

modbender/skill-library-mcp Agent Skills author: modbender MIT 2 files body ≈ 7 926 tokens Open the sourcegithub.com analyzed 2 d ago

Your AI compliance officer.

As a process C 54/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerStripeSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
B
80/100
safety, quality, tests
Safety 60%
96
Quality 40%
57
Run on models
none yet
Process rating
C
54/100
Has gaps
Inputs and preconditions w 11
0
When it triggers w 12
20
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Risky intent intent-offensive-security SKILL.md:115
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - [ ] Penetration testing (annual minimum)
  • low Risky intent intent-offensive-security SKILL.md:559
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - [ ] Schedule penetration test (results needed before audit)
  • low Risky intent intent-offensive-security SKILL.md:602
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    pent…pdf
  • low Risky intent intent-offensive-security SKILL.md:678
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    | **Annual** | Full risk assessment, penetration test, policy review cycle, SOC 2/ISO audit, security awareness training, management review |

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 7926 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 54/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 10 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 40Consistency. Frontmatter name (Compliance & Audit Readiness Engine) differs from the folder (afrexai-compliance-engine)
  • 50Failures and branches. 0 branches, has a failure section
  • 70Execution cost. Instruction body is 7926 tokens
  • 85Steps. 248 steps, 3 vague phrases
  • 100Tools and files. No external tools needed
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 159: enough signal without eating the budget
  • +4Structure: 68 headings
  • +3Step-by-step instructions: 248 items
  • +4Has examples (8 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.