CC performing-network-forensics-with-wireshark
Capture and analyze network traffic using Wireshark and tshark to reconstruct network events from PCAP/PCAPNG files, extract transferred files and credentials, and identify command-and-control communications. Use when analyzing captured traffic from a security incident, reconstructing data exfiltration, or finding network indicators of compromise during malware analysis.
Capture and analyze network traffic using Wireshark and tshark to reconstruct network events from PCAP/PCAPNG files, extract transferred files and…
As a process C 64/100 · Has gaps — weak spots: when it triggers, failures and branches
How to improve
- 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 · 5
✓ No critical or high findings
Medium and low: 5
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low Risky intent
intent-offensive-securitySKILL.md:3Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)description: Capture and analyze network traffic using Wireshark and tshark to reconstruct network events from PCAP/PCAPNG files, extract transferred files and credentials, and identify command-and-co
detector -
low Risky intent
intent-offensive-securitySKILL.md:34Offensive-security / dual-use content (legitimate for authorised testing; review intended use)- During malware analysis to identify network indicators of compromise
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low Risky intent
intent-offensive-securitySKILL.md:288Offensive-security / dual-use content (legitimate for authorised testing; review intended use)**Scenario 3: Lateral Movement in Enterprise Network**
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low Risky intent
intent-offensive-securitySKILL.md:304Offensive-security / dual-use content (legitimate for authorised testing; review intended use)192.168.1.50 -> 10.0.0.25:445 (SMB lateral movement)
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low Risky intent
intent-offensive-securitySKILL.md:305Offensive-security / dual-use content (legitimate for authorised testing; review intended use)192.168.1.50 -> 10.0.0.30:3389 (RDP lateral movement)
Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "domain" - note
frontmatter-keyunknown frontmatter key "subdomain" - note
frontmatter-keyunknown frontmatter key "nist_csf" - note
frontmatter-keyunknown frontmatter key "mitre_attack"
Process rating: all ten parameters 64/100
- 0Failures and branches. Linear process with no failure handling
- 20When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 11 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2807 tokens
- 100Running it twice. No mutating operations
- 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
- +4Description does not say when NOT to use the skill (false activations)
- -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
- +3Description length 373: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 11 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: 78.