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CB conducting-network-penetration-test

Conducts comprehensive network penetration tests against authorized target environments by performing host discovery, port scanning, service enumeration, vulnerability identification, and controlled exploitation to assess the security posture of network infrastructure. The tester follows PTES methodology from reconnaissance through post-exploitation and reporting. Activates for requests involving network pentest, infrastructure security assessment, internal network testing, or external perimeter testing.

mukul975/Anthropic-Cybersecurity-Skills Agent Skills author: mukul975 Apache-2.0 4 files · 1 script body ≈ 2 938 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Conducts comprehensive network penetration tests against authorized target environments by performing host discovery, port scanning, service enumeration…

As a process B 68/100 · Nearly there — weak spots: running it twice

ProcedureSecuritytype 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
88/100
safety, quality, tests
Safety 60%
92
Quality 40%
82
Run on models
none yet
Process rating
B
68/100
Nearly there
Running it twice w 4
30
When it triggers w 12
50
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 Risky intent intent-offensive-security references/api-reference.md:1
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      # API Reference: Network Penetration Testing Agent
    • low Risky intent intent-offensive-security references/api-reference.md:5
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      Automates network penetration testing: host discovery, TCP SYN scanning with service detection, vulnerability scanning with NSE scripts, SMB enumeration, and SSL auditing. For authorized penetration t
    • low Risky intent intent-offensive-security references/api-reference.md:16
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      # Full pentest
    • low Risky intent intent-offensive-security SKILL.md:8
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      pentest, infrastructure security assessment, internal network testing, or external
    • low Risky intent intent-offensive-security SKILL.md:15
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - network-pentest
    • low Risky intent intent-offensive-security SKILL.md:36
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      # Conducting Network Penetration Test
    • low Risky intent intent-offensive-security SKILL.md:43
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - Meeting compliance requirements for PCI-DSS, HIPAA, SOC 2, or ISO 27001 that mandate periodic penetration testing
    • low Risky intent intent-offensive-security SKILL.md:107
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - **Credential attacks**: Use `hydra` or `crackmapexec` for password spraying against discovered services (SSH, RDP, SMB, HTTP basic auth) using common credential lists. Respect lockout policies.

    Files scanned: 4. 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"

    Process rating: all ten parameters 68/100

    • 30Running it twice. 6 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 85Steps. 56 steps, 1 vague phrases
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2938 tokens
    • 100Progress reporting. Reports progress
    • low The response is described with custom markup (14 tags): a typed call is more reliable

    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
    • -41 reference files, but SKILL.md never points to them: the model will not open them
    • -31 of 1 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 509: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 56 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +1License stated

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