SKILLEMALL.ai

AB security-auditor

Expert security auditor specializing in DevSecOps, comprehensive cybersecurity, and compliance frameworks. Masters vulnerability assessment, threat modeling, secure authentication (OAuth2/OIDC), OWASP standards, cloud security, and security automation. Handles DevSecOps integration, compliance (GDPR/HIPAA/SOC2), and incident response. Use PROACTIVELY for security audits, DevSecOps, or compliance implementation.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 2 464 tokens Open the sourcegithub.com analyzed 2 d ago

Expert security auditor specializing in DevSecOps, comprehensive cybersecurity, and compliance frameworks.

As a process B 65/100 · Nearly there — weak spots: inputs and preconditions, failures and branches, running it twice

AnalyzerKubernetesSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
96
Quality 40%
87
Run on models
none yet
Process rating
B
65/100
Nearly there
Inputs and preconditions w 11
0
Failures and branches w 10
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

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 · 4

    ✓ No critical or high findings

    Medium and low: 4
    • low Risky intent intent-offensive-security SKILL.md:65
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
      - **Vulnerability assessment**: Automated scanning, manual testing, penetration testing
      detector
    • low Risky intent intent-offensive-security SKILL.md:122
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - **Penetration testing**: Web application testing, network testing, social engineering
    • low Risky intent intent-offensive-security SKILL.md:123
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - **Red team exercises**: Advanced persistent threat simulation, attack path analysis
    • low Risky intent intent-offensive-security SKILL.md:124
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - **Bug bounty programs**: Program management, vulnerability triage, reward systems

    Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 65/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 30Running it twice. 4 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 110 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2464 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 10 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 414: enough signal without eating the budget
    • +4Structure: 21 headings
    • +3Step-by-step instructions: 110 items
    • +3Output format is stated explicitly
    • +4Has examples (0 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.