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CB detecting-ransomware-precursors-in-network

Detects early-stage ransomware indicators in network traffic before encryption begins, including initial access broker activity, command-and-control beaconing, credential harvesting, reconnaissance scanning, and staging behavior. Uses network detection tools (Zeek, Suricata, Arkime), SIEM correlation rules, and threat intelligence feeds to identify ransomware precursor patterns such as Cobalt Strike beacons, Mimikatz network signatures, and RDP brute-force attempts. Activates for requests involving pre-ransomware detection, network-based ransomware indicators, or early warning ransomware monitoring.

mukul975/Anthropic-Cybersecurity-Skills Agent Skills author: mukul975 Apache-2.0 8 files · 2 scripts body ≈ 3 363 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Detects early-stage ransomware indicators in network traffic before encryption begins, including initial access broker activity, command-and-control…

As a process B 72/100 · Nearly there — weak spots: failures and branches, running it twice

AnalyzerSecuritytype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
C
80/100
safety, quality, tests
Safety 60%
79
Quality 40%
82
Run on models
none yet
Process rating
B
72/100
Nearly there
Failures and branches w 10
0
Running it twice w 4
30
When it triggers w 12
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 · 21

    ✓ No critical or high findings

    Medium and low: 21
    • low Risky intent intent-offensive-security assets/template.md:1
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      # Ransomware Precursor Detection Deployment Template
    • low Risky intent intent-offensive-security assets/template.md:19
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      | | Lateral Movement | | | |
    • low Risky intent intent-offensive-security references/api-reference.md:1
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
      # API Reference — Detecting Ransomware Precursors in Network Traffic
      detector
    • low Risky intent intent-offensive-security references/api-reference.md:76
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      # Ransomware-related alerts in last hour
    • low Risky intent intent-offensive-security references/api-reference.md:77
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
      jq 'select(.event_type=="alert") | select(.alert.signature | test("ransomware|cobalt|mimikatz|psexec";"i"))' \
      detector
    • low Risky intent intent-offensive-security references/api-reference.md:106
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      ## Splunk SPL — Ransomware Precursor Queries
    • low Risky intent intent-offensive-security references/api-reference.md:108
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      ### Internal lateral movement via SMB/RDP/WinRM
    • low Risky intent intent-offensive-security references/standards.md:1
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
      # Standards & References - Detecting Ransomware Precursors
      detector
    • low Risky intent intent-offensive-security references/standards.md:10
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      ### Command and Control (TA0011)
    • low Risky intent intent-offensive-security references/standards.md:26
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      ### Lateral Movement (TA0008)
    • low Risky intent intent-offensive-security references/standards.md:35
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - AA23-136A: #StopRansomware - BianLian Ransomware Group
    • low Risky intent intent-offensive-security references/standards.md:36
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - AA23-158A: #StopRansomware - CL0P Ransomware Gang
    • low Risky intent intent-offensive-security references/workflows.md:1
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
      # Workflows - Detecting Ransomware Precursors in Network
      detector
    • low Risky intent intent-offensive-security references/workflows.md:18
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      [Install Suricata IDS] --> Load ET Open + custom ransomware rules
    • low Risky intent intent-offensive-security references/workflows.md:38
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      ## Workflow 2: Alert Triage for Ransomware Precursors
    • low Risky intent intent-offensive-security references/workflows.md:46
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      |-- Credential Harvesting --> Priority: CRITICAL, SLA: 15 min
    • low Risky intent intent-offensive-security SKILL.md:2
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
      name: detecting-ransomware-precursors-in-network
      detector
    • low Risky intent intent-offensive-security SKILL.md:3
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
      description: 'Detects early-stage ransomware indicators in network traffic before
      detector
    • low Risky intent intent-offensive-security SKILL.md:5
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      beaconing, credential harvesting, reconnaissance scanning, and staging behavior.
    • low Risky intent intent-offensive-security SKILL.md:7
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      threat intelligence feeds to identify ransomware precursor patterns such as Cobalt
    • low Risky intent intent-offensive-security SKILL.md:9
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      for requests involving pre-ransomware detection, network-based ransomware indicators,

    Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "domain"
    • note frontmatter-key unknown frontmatter key "subdomain"
    • note frontmatter-key unknown frontmatter key "nist_csf"
    • note frontmatter-key unknown frontmatter key "mitre_attack"
    • note frontmatter-key unknown frontmatter key "mitre_f3"

    Process rating: all ten parameters 72/100

    • 0Failures and branches. Linear process with no failure handling
    • 30Running it twice. 8 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 27 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3363 tokens
    • 100Progress reporting. Reports progress

    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
    • -43 reference files, but SKILL.md never points to them: the model will not open them
    • -32 of 2 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 606: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 27 items
    • +3Output format is stated explicitly
    • +4Has examples (6 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.