SKILLEMALL.ai

BD SecLists Pattern-Matching

Sensitive data patterns for security testing: API keys, credit cards, emails, SSNs, phone numbers, IPs, and more. Use for data discovery and validation.

ClawHub Agent Skills author: PandaAI-1337 v1.0.0 MIT-0 13 files body ≈ 621 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
97
Quality 40%
69
Run on models
none yet
Process rating
D
41/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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 SKILL.md:26
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      **⚠️ IMPORTANT:** Only use for authorized security testing, bug bounty programs, CTF competitions, or educational purposes.
    • low Risky intent intent-offensive-security SKILL.md:63
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - Authorized penetration testing with written permission
    • low Risky intent intent-offensive-security SKILL.md:64
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - Bug bounty programs (within scope)

    Files scanned: 13. 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: Sensitive data patterns for security testing: API keys, credit car… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)

    Process rating: all ten parameters 41/100

    • 0Result and completion. Does not say what the result is
    • 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 (SecLists Pattern-Matching) differs from the folder (pattern-matching)
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 100Steps. 26 steps
    • 100Execution cost. Instruction body is 621 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)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 152: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 26 items
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

    External checks

    ClawHub: clean
    This skill is a static reference collection for authorized security pattern matching and does not include executable or hidden behavior.
    LLM: benign (high) · VirusTotal: · 29 May 2026