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DB implementing-network-access-control

Implements 802.1X port-based network access control using RADIUS authentication, PacketFence NAC, and switch configuration to enforce identity-based access policies, posture assessment, and automatic VLAN assignment for authorized devices. Use when enforcing zero-trust access at the network edge, quarantining non-compliant endpoints, meeting PCI-DSS/HIPAA/SOC 2 access requirements, or onboarding BYOD devices with automated provisioning.

mukul975/Anthropic-Cybersecurity-Skills Agent Skills author: mukul975 Apache-2.0 4 files · 1 script body ≈ 3 574 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Implements 802.1X port-based network access control using RADIUS authentication, PacketFence NAC, and switch configuration to enforce identity-based access…

As a process B 75/100 · Nearly there — weak spots: running it twice, progress reporting

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
D
75/100
safety, quality, tests
Safety 60%
70
Quality 40%
82
Run on models
none yet
Process rating
B
75/100
Nearly there
Progress reporting w 2
0
Running it twice w 4
30
When it triggers w 12
50
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

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 · 10

    ✓ No critical or high findings

    Medium and low: 10
    • medium Dangerous commands cmd-privilege SKILL.md:63
      Privilege escalation / world-writable permissions
      sudo tee /etc/freeradius/3.0/clients.conf << 'EOF'
    • medium Dangerous commands cmd-privilege SKILL.md:87
      Privilege escalation / world-writable permissions
      sudo tee /etc/freeradius/3.0/mods-available/ldap << 'EOF'
    • medium Dangerous commands cmd-privilege SKILL.md:114
      Privilege escalation / world-writable permissions
      sudo tee /etc/freeradius/3.0/policy.d/vlan-assignment << 'EOF'
    • medium Dangerous commands cmd-privilege SKILL.md:154
      Privilege escalation / world-writable permissions
      sudo tee /etc/freeradius/3.0/mods-available/eap << 'EAPEOF'
    • medium Dangerous commands cmd-privilege SKILL.md:257
      Privilege escalation / world-writable permissions
      sudo tee /etc/apt/sources.list.d/packetfence.list
    • low Secrets in code secret-high-entropy-token references/api-reference.md:25
      High-entropy token-like string (may be an id, hash or a credential)
      | `1.3.6.1.2.1.8802.1.1.1.1.2.1.1.1` | dot1…tus |
    • low Secrets in code secret-high-entropy-token references/api-reference.md:26
      High-entropy token-like string (may be an id, hash or a credential)
      | `1.3.6.1.2.1.8802.1.1.1.1.2.1.1.2` | dot1…rol |
    • low Secrets in code secret-high-entropy-token references/api-reference.md:27
      High-entropy token-like string (may be an id, hash or a credential)
      | `1.3.6.1.2.1.8802.1.1.1.1.2.4.1.1` | dot1…hod |
    • low Secrets in code secret-password-literal SKILL.md:91
      Hard-coded password / key literal (may be an example)
      password = 'Serv…123!'
    • low Secrets in code secret-password-literal SKILL.md:314
      Hard-coded password / key literal (may be an example)
      password="User…123"

    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 75/100

    • 0Progress reporting. Says nothing while it works
    • 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
    • 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 3574 tokens

    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 440: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 27 items
    • +3Output format is stated explicitly
    • +4Has examples (7 code blocks)
    • +1License stated

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