AD ai-email-service
Receive-only email addresses for AI agents via aiemailservice.com. Use when an agent needs to sign up for a service, receive verification codes/OTPs, get password reset links, or read incoming emails. Provides free mailbox creation, message reading, long-polling for new mail, and automatic OTP extraction. No sending capability — receive-only by design.
Receive-only email addresses for AI agents via aiemailservice.com. Use when an agent needs to sign up for a service, receive verification codes/OTPs, get…
As a process D 36/100 · 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 · 2
✓ No critical or high findings
Medium and low: 2
-
low Exfiltration
net-credential-useSKILL.md:139Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)curl -s https://aiemailservice.com/v1/mailbox/mbx_xxx/messages -H "x-api-key: $KEY"
vendor-host -
low Exfiltration
net-credential-useSKILL.md:146Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)curl -s https://aiemailservice.com/v1/mailbox/mbx_xxx/codes -H "x-api-key: $KEY"
vendor-host
Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 36/100
- 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
- 30Running it twice. 11 mutating operations with no state check
- 40Consistency. Frontmatter name (ai-email-service) differs from the folder (automated-ai-email-setup)
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 85Steps. 9 steps, 1 vague phrases
- 100Execution cost. Instruction body is 1239 tokens
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 354: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 9 items
- +4Has examples (8 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.