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Compliance Verifier Agent – Skill Pre-Install Validator
x402
Compliance Verifier Agent – Skill Pre-Install Validator is a paid API for AI agents from compliance-verifier-agent-6fe6y.ondigitalocean.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-10-20).
Validates an AI skill's metadata and permissions against compliance rules before installation, returning VERIFIED or FAILED with structured violation details.
Price / call$0.1
Success—
StatusUnknown
How this service works
skill_pre_install_v1 pre-install validation — VERIFIED or FAILED with structured violations[]. Pay Base USDC then resubmit with payment proof.
Output
Returns a JSON object with a top-level status field of either VERIFIED or FAILED, accompanied by a structured violations array listing each compliance issue found (e.g. disallowed permission, missing metadata field, policy breach). On VERIFIED, violations array is empty; on FAILED, each violation entry details the rule breached and affected field.
Example use cases
Marketplace skill submission gating
“Before I publish my new data-fetching skill to the marketplace, validate its skill_md metadata and the permissions it requests — [read_files, http_request] — and tell me whether it's VERIFIED or what violations need to be fixed.”
Automated CI check for skill compliance
“In my deployment pipeline, run the pre-install compliance verifier on this skill manifest and its requested permissions [send_email, access_calendar] and return whether it passes or fails with any structured violation details.”
Debugging a previously rejected skill
“My skill was rejected during pre-install validation. Can you re-run the compliance check on the updated skill_md and the same permissions [write_files, network_access] to see if the violations are now resolved?”
Technical details
Endpoint
POSThttps://compliance-verifier-agent-6fe6y.ondigitalocean.app/verify?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a structured, machine-readable compliance verdict on an AI skill before installing or publishing it — especially in automated pipelines or marketplaces where a VERIFIED/FAILED result with itemized violations is required. Prefer this over manual review when you need programmatic violation details to drive conditional logic (e.g. block deployment on FAILED).
Side effects
- Missing required 'input' object returns 400 validation error
- Invalid method enum (not POST/PUT/PATCH) returns schema validation failure
- Malformed skill_md (non-string) causes parsing error
- Payment not provided or insufficient USDC triggers x402 Payment Required response before result is returned
- Empty or null requested_permissions may cause incomplete validation results
- Network timeout on DigitalOcean app instance returns 503
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| context | object | |
| skill_md | string | |
| requested_permissions | array |
Tags
x402
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