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AB vision-one-threat-intel

Query TrendAI Vision One threat intelligence. Use when: looking up IOCs (IP, domain, hash, URL, email), checking threat feeds, reading intelligence reports, managing suspicious objects, or hunting threats by industry/campaign/actor/CVE. Triggers on: threat intel, IOC lookup, threat feed, suspicious object, Vision One, TrendAI, threat hunting, indicator of compromise.

ClawHub Agent Skills author: andresark v1.0.0 MIT-0 13 files body ≈ 1 049 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process B 66/100 · Nearly there — weak spots: inputs and preconditions, progress reporting

ProcedureInfrastructureData and analyticsSecuritytype 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
A
93/100
safety, quality, tests
Safety 60%
92
Quality 40%
95
Run on models
none yet
Process rating
B
66/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Failures and branches w 10
50
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 · 8

    ✓ No critical or high findings

    Medium and low: 8
    • low Secrets in code secret-high-entropy-token README.md:112
      High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
      1. [FILE] 2ec3…ca5 | 2026-03-12
      placeholder
    • low Risky intent intent-offensive-security README.md:226
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
      --description "C2 server from phishing campaign" \
      detector
    • low Risky intent intent-offensive-security README.md:237
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      Description: C2 server from phishing campaign
    • low Risky intent intent-offensive-security README.md:258
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (quoted — discussed, not commanded)
      python3 scripts/v1ti.py hunt --campaign "ransomware" --industry Healthcare
      quoted
    • low Risky intent intent-offensive-security references/filter-examples.md:37
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition; test fixture / example file)
      filter=campaigns contains 'ransomware' and objectType eq 'domain'
      detectorfixture
    • low Risky intent intent-offensive-security references/filter-examples.md:44
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (test fixture / example file; quoted — discussed, not commanded)
      filter=name contains 'ransomware'
      fixturequoted
    • low Risky intent intent-offensive-security SKILL.md:65
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (quoted — discussed, not commanded)
      python3 {baseDir}/scripts/v1ti.py report --search "ransomware"
      quoted
    • low Risky intent intent-offensive-security SKILL.md:87
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
      python3 {baseDir}/scripts/v1ti.py suspicious add evil.com --action block --risk high --description "Phishing campaign C2"
      detector

    Files scanned: 13. 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 66/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 13 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1049 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)
    • +2Single-language instructions
    • +3Description length 369: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 13 items
    • +3Output format is stated explicitly
    • +4Has examples (12 code blocks)
    • +4Reference files are cited in the instructions (1 of 3)
    • +3All 1 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 95.

    External checks

    ClawHub: clean
    This skill does what it says: it connects to TrendAI Vision One for threat intelligence lookups and includes a clearly disclosed command that can add block-list entries.
    LLM: benign (high) · VirusTotal: · 29 May 2026