SKILLEMALL.ai
GitHub ↗ RU Sign in

BC pentest-active-directory

Assess Active Directory identity attack paths including roasting, relay, and delegation abuse.

ClawHub Agent Skills author: Muhammad Mazhar Saeed v0.1.0 5 files body ≈ 294 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerGitHubSecurityInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
93
Quality 40%
76
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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.
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 references/tools.md:1
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    # Pentest Active Directory Tools
  • low Risky intent intent-offensive-security skill-card.md:26
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - [Pentest Active Directory tools](references/tools.md) <br>
  • low Risky intent intent-offensive-security skill-card.md:27
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - [ClawHub skill page](https://clawhub.ai/0x-P…sor/pentest-active-directory) <br>
  • low Risky intent intent-offensive-security SKILL.md:2
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    name: pentest-active-directory
  • low Risky intent intent-offensive-security SKILL.md:6
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    # Pentest Active Directory
  • low Risky intent intent-offensive-security SKILL.md:15
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    Map and validate AD privilege escalation and movement paths.
  • low Risky intent intent-offensive-security SKILL.md:28
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    python skills/pentest-active-directory/scripts/active_directory.py --scope scope.json --target <target> --input <path> --output <path> --format json --dry-run

Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 53/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 13 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 294 tokens
  • 100Running it twice. No mutating operations
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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)
  • +3Description length 94: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 13 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: suspicious
This does not look like malware, but it is presented as a real Active Directory testing skill while the code only generates placeholder reports and canned findings.
LLM: suspicious (high) · VirusTotal: benign · 28 May 2026