SKILLEMALL.ai
GitHub ↗ RU Sign in

BC web-health-suite

Comprehensive web health monitoring and quality assurance suite for AI agents. Performs HTTP health checks, response quality analysis, compliance validation, SSL certificate monitoring, API endpoint verification, and generates professional HTML reports for web applications and services. Use when: (1) monitoring web service health and uptime, (2) validating HTTP response quality and headers, (3) checking SSL certificate status and expiration, (4) verifying API endpoint availability and response format, (5) quality assurance testing for web deployments, (6) generating professional health monitoring reports.

ClawHub Agent Skills author: guo5404 v1.0.2 MIT-0 4 files body ≈ 1 251 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 57/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
97
Quality 40%
77
Run on models
none yet
Process rating
C
57/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
0
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 · 3

    ✓ No critical or high findings

    Medium and low: 3
    • low Risky intent intent-offensive-security TERMS_OF_USE.md:17
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - **Bug bounty programs** with written scope approval from the program owner
    • low Risky intent intent-offensive-security TERMS_OF_USE.md:64
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - **Bug bounty hunters** with confirmed program authorization
    • low Risky intent intent-offensive-security TERMS_OF_USE.md:85
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - Bug bounty program rules and guidelines

    Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Comprehensive web health monitoring and quality assurance suite fo… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

    Process rating: all ten parameters 57/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 40Consistency. Frontmatter name (web-health-suite) differs from the folder (security-test-suite)
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 17 steps
    • 100Execution cost. Instruction body is 1251 tokens
    • 100Running it twice. No mutating operations
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 612: enough signal without eating the budget
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 17 items
    • +3Output format is stated explicitly
    • +4Has examples (14 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

    External checks

    ClawHub: suspicious
    This looks like a legitimate web monitoring skill, but it needs Review because its metadata, missing scripts, and default API methods create real ambiguity and control risk.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026