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AF regex-patterns

Practical regex patterns across languages and use cases. Use when validating input (email, URL, IP), parsing log lines, extracting data from text, refactoring code with search-and-replace, or debugging why a regex doesn't match.

ClawHub Agent Skills author: gitgoodordietrying v1.0.0 2 files body ≈ 3 135 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 47/100 · Will not run — References files that are not bundled: [a-zA-Z0-9._%+-]*[a-zA-Z0-9], [a-zA-Z0-9-]*[a-zA-Z0-9]

AnalyzerSoftware developmenttype 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
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
F
47/100
Will not run
References files that are not bundled: [a-zA-Z0-9._%+-]*[a-zA-Z0-9], [a-zA-Z0-9-]*[a-zA-Z0-9]
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: [a-zA-Z0-9._%+-]*[a-zA-Z0-9]
  • warning missing-ref reference to a missing file: [a-zA-Z0-9-]*[a-zA-Z0-9]

Process rating: all ten parameters 47/100

Will not run. References files that are not bundled: [a-zA-Z0-9._%+-]*[a-zA-Z0-9], [a-zA-Z0-9-]*[a-zA-Z0-9]
  • 0Tools and files. 2 referenced file(s) missing: [a-zA-Z0-9._%+-]*[a-zA-Z0-9], [a-zA-Z0-9-]*[a-zA-Z0-9]
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 50When it triggers. No condition that starts the skill
  • 55Failures and branches. 1 branches
  • 100Steps. 14 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3135 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

  • +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 228: enough signal without eating the budget
  • +4Structure: 34 headings
  • +3Step-by-step instructions: 14 items
  • +4Has examples (21 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This is a regex reference skill with no bundled executable code, and its risky examples are visible command-line snippets rather than hidden behavior.
LLM: benign (high) · VirusTotal: benign · 10 Sept 2026