AC find-work-email
Find a verified work email address from a person's name and company domain, powered by Cargo. Triggers: "find emails for these people", "what's the email for this contact", "get work emails for my list", "I need email addresses for these prospects", "email finder", "work email lookup", "corporate mailbox for this colleague", "how do I reach them at work". Providers: prospeo, FullEnrich. Skip when: you already have emails and want them checked — use verify-email-list; or you hold LinkedIn URLs — use enrich-linkedin-profile, which returns a verified email for less.
Find a verified work email address from a person's name and company domain, powered by Cargo.
As a process C 51/100 · Has gaps — 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 · 0
✓ No critical or high findings
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 51/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 50Steps. 2 steps
- 50Failures and branches. 0 branches, has a failure section
- 100Tools and files. No external tools needed
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1149 tokens
- 100Running it twice. Mutating operations check current state
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)
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 8 example trigger phrases
- +3Description length 569: enough signal without eating the budget
- +4Structure: 8 headings
- +4Has examples (5 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.