AC alibabacloud-pcap-analyzer
Analyze local pcap/pcapng captures to diagnose network transfer problems. Use when given a pcap file to explain slow network transfer, connection issues, abrupt TCP session termination, security association setup error, private network tunnel establishment problem, DNS, TLS or encrypted session establishment error, MTU or oversized packet drop, or receiver buffer exhaustion. Read-only; no credentials required. Triggers: "pcap analysis", "packet capture analysis", "analyze pcap file", "slow network transfer", "TCP retransmission", "connection reset", "IPsec/IKE negotiation failed", "VPN negotiation failure", "TLS handshake failed", "DNS resolution failure", "MTU issue", "zero window", "abrupt TCP session termination", "domain name lookup error", "encrypted session establishment error", "oversized packet drop".
Analyze local pcap/pcapng captures to diagnose network transfer problems.
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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 · 0
✓ No critical or high findings
Files scanned: 7. 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 53/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 3 mutating operations with no state check
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 15 steps
- 100Failures and branches. 1 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1952 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 820: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 16 example trigger phrases
- +4Structure: 13 headings
- +3Step-by-step instructions: 15 items
- +4Has examples (9 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.