SKILLEMALL.ai

BD afrexai-cybersecurity-engine

Complete cybersecurity assessment, threat modeling, and hardening system. Use when conducting security audits, threat modeling, penetration testing, incident response, or building security programs from scratch. Works with any stack — zero external dependencies.

modbender/skill-library-mcp Agent Skills author: modbender MIT 2 files body ≈ 8 243 tokens Open the sourcegithub.com analyzed 2 d ago

Complete cybersecurity assessment, threat modeling, and hardening system.

As a process D 47/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerAWSInfrastructureSecurityData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
93
Quality 40%
74
Run on models
none yet
Process rating
D
47/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
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 · 7

✓ No critical or high findings

Medium and low: 7
  • low Risky intent intent-offensive-security README.md:3
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    Complete cybersecurity assessment, threat modeling, penetration testing, and security program design — all in one agent skill. Zero external dependencies.
  • low Risky intent intent-offensive-security README.md:47
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    | 10 | Penetration Testing | Recon, 4-phase testing, report template |
  • low Risky intent intent-offensive-security SKILL.md:3
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    description: Complete cybersecurity assessment, threat modeling, and hardening system. Use when conducting security audits, threat modeling, penetration testing, incident response, or building securit
  • low Risky intent intent-offensive-security SKILL.md:119
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    | **E**levation of Privilege | Can someone gain unauthorized access? | IDOR, broken access control, privilege escalation |
  • low Risky intent intent-offensive-security SKILL.md:461
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    | Penetration test | Quarterly | Manual + automated |
  • low Risky intent intent-offensive-security SKILL.md:462
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    | Red team | Annually | External firm |
  • low Risky intent intent-offensive-security SKILL.md:508
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    4. Verify no lateral movement occurred

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

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 8243 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 47/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 40Execution cost. Instruction body is 8243 tokens: crowds the task out of the window
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 78 steps
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 15 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 262: enough signal without eating the budget
  • +4Structure: 49 headings
  • +3Step-by-step instructions: 78 items
  • +4Has examples (38 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.