SKILLEMALL.ai

AC threat-intel

Query multiple threat intelligence services for IOC enrichment including IP reputation, domain analysis, URL scanning, hash lookups, and malware detection. Use when investigating observables (IP, domain, URL, hash) to gather context from external sources like VirusTotal, GreyNoise, Shodan, AbuseIPDB, AlienVault OTX, and more. Supports both API-key services and free services.

ClawHub Agent Skills author: nirhalfon v1.0.1 MIT-0 28 files body ≈ 1 145 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 57/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

IntegrationInfrastructureSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
99
Quality 40%
94
Run on models
none yet
Process rating
C
57/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
0
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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Risky intent intent-offensive-security TUTORIAL.md:247
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      ### Scenario 2: Malware Analysis

    Files scanned: 28. 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 57/100

    • 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 (threat-intel) differs from the folder (ionsec-threat-intel)
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 14 steps
    • 100Execution cost. Instruction body is 1145 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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 377: enough signal without eating the budget
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 14 items
    • +3Output format is stated explicitly
    • +4Has examples (11 code blocks)
    • +4Reference files are cited in the instructions (3 of 4)
    • +3All 4 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.

    External checks

    ClawHub: suspicious
    This threat-intelligence skill mostly does what it says, but it needs Review because it can send sensitive investigation indicators to many external providers, including public URLscan submissions, without clear consent warnings.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026