SKILLEMALL.ai

AC phishguard

Is this link safe or a scam? Paste any URL from LINE, SMS, or email to instantly detect phishing, fraud, or fake websites. 🚨 Identify scam links before you click 🔍 Detect phishing pages (fake Shopee, bank, login sites) ⚡ Real-time check against 2.5M+ scam domains Powered by 38 global threat intelligence sources, including Taiwan 165, PhishTank, and CERT.PL. 防詐騙網址檢查:貼上任何可疑連結(LINE、簡訊、Email),立即辨識是否為詐騙或釣魚網站。 🚨 點擊前先檢查,避免被騙 🔍 辨識假購物、假銀行、假登入頁 ⚡ 即時比對250萬+詐騙資料(含台灣165等38來源) Example: Input: https://shopee-tw-login-check.com Output: 🚨 Scam detected Reason: Fake Shopee login page (Phishing) Input: https://bank-secure-verification.com Output: ⚠️ High risk Reason: Suspicious domain (Reported by CERT) Input: https://google.com Output: ✅ Safe Reason: No scam or phishing records found Use cases: - Is this LINE link a scam? - Check suspicious SMS links - Verify email phishing URLs - Detect fake shopping or banking sites

ClawHub Agent Skills author: phishguard-niki v0.4.10 MIT-0 4 files · 1 script body ≈ 878 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 60/100 · Has gaps — weak spots: inputs and preconditions, consistency, running it twice

AnalyzerGitHubSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
C
60/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
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 · 0

    ✓ No critical or high findings

    Files scanned: 4. 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 60/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 2 mutating operations with no state check
    • 40Consistency. Frontmatter name (phishguard) differs from the folder (anti-scam-guard)
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 70Failures and branches. 5 branches
    • 100Steps. 20 steps
    • 100Execution cost. Instruction body is 878 tokens
    • 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)
    • +3Description length 927: 120–800 characters recommended
    • +1No license
    • +2Single-language instructions
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 20 items
    • +3Output format is stated explicitly
    • +4Has examples (5 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: clean
    Phishguard is a disclosed phishing-link checker that runs local URL analysis and fetches public blocklist shards from GitHub, with no evidence of credential theft, hidden exfiltration, destructive behavior, or privilege escalation.
    LLM: benign (high) · VirusTotal: · 15 Jul 2026