AC alibabacloud-waf-checkresponse-intercept-query
Diagnose why a request was blocked by Alibaba Cloud WAF. Retrieves block logs, identifies the triggering rule, and provides remediation guidance. Supports disabling problematic rules and managing WAF log collection settings. Use when users report being blocked by WAF, encounter 405/block error pages, see "Your request has been blocked" messages, or need to investigate and fix WAF interception issues. Trigger words: "WAF block query", "blocked by WAF", "405 troubleshooting", "request blocked", "checkresponse", "intercept query", "WAF拦截", "被WAF拦截", "disable WAF rule", "enable WAF log"
Diagnose why a request was blocked by Alibaba Cloud WAF.
As a process C 64/100 · Has gaps — weak spots: result and completion, when it triggers
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 64/100
- 0Result and completion. Does not say what the result is
- 20When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 85Steps. 40 steps, 1 vague phrases
- 100Failures and branches. 6 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3441 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 10 example trigger phrases
- +3Description length 589: enough signal without eating the budget
- +4Structure: 21 headings
- +3Step-by-step instructions: 40 items
- +4Has examples (18 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 96.