SKILLEMALL.ai

AB alibabacloud-waf-report

Generate or review Alibaba Cloud WAF 3.0 security operations reports, customer assessments, rule-tuning reports, and focused false-positive or false-negative investigations using WAF OpenAPI, SLS traffic logs, authorized read-only verification, or user-supplied offline WAF samples and exports. Use for WAF monthly reports, security patrols, API Security reviews, BOT analysis, and OWASP API Security Top 10 coverage. Do not use for unauthorized testing or direct production rule changes.

ClawHub Agent Skills author: alibabacloud-skills-team v0.0.1 MIT-0 9 files body ≈ 2 660 tokens Open the sourceclawhub.ai analyzed 3 d ago

Generate or review Alibaba Cloud WAF 3.0 security operations reports, customer assessments, rule-tuning reports, and focused false-positive or false-negative…

As a process B 73/100 · Nearly there — no weak spots found

AnalyzerData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
98
Quality 40%
95
Run on models
none yet
Process rating
B
73/100
Nearly there
When it triggers w 12
50
Failures and branches w 10
50
Tools and files w 18
60
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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Risky intent intent-offensive-security references/attack-analysis-checklist.md:33
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      10. **Authentication and session attacks**: brute force, credential stuffing, password spraying, session fixation, cookie or JWT tampering, and abnormal login frequency.
    • low Risky intent intent-offensive-security references/attack-analysis-checklist.md:34
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      11. **Access control and business logic abuse**: BOLA/IDOR, vertical privilege escalation, identifier enumeration, price or quantity tampering, and unexpected access to sensitive functions.

    Files scanned: 9. 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 73/100

    • 50When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 34 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2660 tokens
    • 100Running it twice. Mutating operations check current state
    • 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
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 488: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 34 items
    • +3Output format is stated explicitly
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (6 of 6)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 95.

    External checks

    ClawHub: clean
    This is a read-only Alibaba Cloud WAF reporting skill with clear boundaries; its main privacy consideration is that optional IP ownership lookups send queried IP addresses to ipinfo.io.
    LLM: benign (high) · VirusTotal: · 27 Aug 2026