SKILLEMALL.ai

BD Subdomain Enumerator

Discovers and enumerates all subdomains associated with a target domain using deep reconnaissance techniques.

ClawHub Agent Skills author: ToolWeb v1.0.0 MIT-0 3 files body ≈ 915 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
97
Quality 40%
64
Run on models
none yet
Process rating
D
49/100
Unfinished process
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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Risky intent intent-offensive-security skill-card.md:14
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    Security professionals, penetration testers, bug bounty hunters, DevSecOps teams, and organizations use this skill to enumerate active and inactive subdomains for authorized attack surface mapping and
  • low Risky intent intent-offensive-security SKILL.md:8
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    The Subdomain Enumerator is a powerful reconnaissance tool designed for security professionals, penetration testers, and bug bounty hunters who need to identify all active and inactive subdomains with
  • low Risky intent intent-offensive-security SKILL.md:12
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    This tool is ideal for security researchers conducting authorized penetration tests, red team operators performing scope definition, DevSecOps teams mapping their infrastructure, and organizations per

Files scanned: 3. 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")

Process rating: all ten parameters 49/100

  • 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
  • 40Consistency. Frontmatter name (Subdomain Enumerator) differs from the folder (subdomain-enumerator)
  • 100Tools and files. No external tools needed
  • 100Steps. 10 steps
  • 100Execution cost. Instruction body is 915 tokens
  • 100Running it twice. No mutating operations

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 109: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 10 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: clean
This is a disclosed subdomain-enumeration API skill, but it should only be used for domains the user is allowed to assess.
LLM: benign (high) · VirusTotal: · 29 May 2026