AD mysearch
DEFAULT search skill for OpenClaw. Aggregates Tavily, Firecrawl, Exa, and optional X/social search behind one search path. Use for ANY external lookup that needs current web results, docs, GitHub, changelog, pricing, URL extraction, or X discussion. Prefer this over legacy Tavily-only skill or raw web_search when MySearch is healthy.
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
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 · 3
✓ No critical or high findings
Medium and low: 3
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low Exfiltration
read-dotenvREADME_EN.md:119Reads a .env filecp openclaw/.env.example openclaw/.env
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low Exfiltration
read-dotenvREADME.md:116Reads a .env filecp openclaw/.env.example openclaw/.env
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low Exfiltration
read-dotenvREADME.md:246Reads a .env filecp openclaw/.env.example openclaw/.env
Files scanned: 12. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "repository" - note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "security_disclosure"
Process rating: all ten parameters 46/100
- 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
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 55 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1036 tokens
- 100Running it twice. No mutating operations
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
- +2Single-language instructions
- +3Description length 335: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 55 items
- +4Has examples (12 code blocks)
- +3All 2 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.