AD OpenClaw Skill Creator
Teach your OpenClaw agent new tricks by creating custom skills. Use when you want your agent to do something it can't do yet — like "read my Google Calendar", "send Slack messages", "analyze my CSV files", or "search my company docs". Even if you just say "I wish my agent could do X", this skill helps you build it. No coding experience needed — just describe what you want in plain English.
Teach your OpenClaw agent new tricks by creating custom skills.
As a process D 45/100 · Unfinished process — weak spots: result and completion, when it triggers, failures and branches
How to improve
- 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: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens)
Process rating: all ten parameters 45/100
- 0Result and completion. Does not say what the result is
- 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
- 30Running it twice. 37 mutating operations with no state check
- 40Consistency. Frontmatter name (OpenClaw Skill Creator) differs from the folder (openclaw-skill-creator-pro)
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Execution cost. Instruction body is 4371 tokens
- 100Steps. 119 steps
- low 19 top-level sections: this looks like several domains in one skill
- high The skill tells the model to perform an irreversible action with no human approval
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
- +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
- +5Description quotes 5 example trigger phrases
- +3Description length 394: enough signal without eating the budget
- +4Structure: 57 headings
- +3Step-by-step instructions: 119 items
- +4Has examples (6 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.