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Score how ready a website, domain, or public MCP endpoint is for AI agents using Is Agentic, and read or act on the resulting report. Use when asked to check a site's agent readiness, get its Is Agentic score, fetch a scored report as JSON, or fix the issues that lower a site's

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Install
$ npx -y skills add vercel/vercel-plugin --skill is-agentic --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/is-agentic

Context preview

The summary Claude sees to decide when to auto-load this skill.

Score how ready a website, domain, or public MCP endpoint is for AI agents using Is Agentic, and read or act on the resulting report. Use when asked to check a site's agent readiness, get its Is Agentic score, fetch a scored report as JSON, or fix the issues that lower a site's

SKILL.md

is-agentic.SKILL.md
name: is-agentic
description: Score how ready a website, domain, or public MCP endpoint is for AI agents using Is Agentic, and read or act on the resulting report. Use when asked to check a site's agent readiness, get its Is Agentic score, fetch a scored report as JSON, or fix the issues that lower a site's score.
metadata:
  priority: 4
  docs:
    - "https://is-agentic.com/docs"
    - "https://is-agentic.com/llms.txt"
  bashPatterns:
    - '\bnpx\s+is-agentic\b'
    - '\bbunx\s+is-agentic\b'
    - '\bskills\s+add\s+vercel-labs/is-agentic\b'
    - '\bcurl\s+[^\n]*is-agentic\.com/api\b'

Is Agentic

Is Agentic runs a technical audit of a public URL and publishes a 0 to 100 agent-readiness score with evidence-backed issues and recommended fixes. All interfaces below are public, read-only, and free; none needs an API key.

Get a score

Default: the official CLI. It returns a stored report immediately, or starts a scan and waits when none exists.

npx is-agentic <domain> --json

Omit `--json` only when a human is reading the terminal output.

When you cannot run commands, use the read-only API instead. It never starts a scan; a 404 means no completed report exists yet.

GET https://is-agentic.com/api/v1/report?url=<url-encoded-target>

MCP hosts can connect to the Streamable HTTP endpoint `https://is-agentic.com/mcp` and call `is_agentic_get_report`, `is_agentic_get_methodology`, or `is_agentic_get_developer_docs`.

Read a report

The JSON response is a `PublicScanReport`:

  • `score`: 0 to 100, or `null` when the target could not be scored (for example an MCP server that requires authentication). `score_label` explains a null score.
  • `score_breakdown.essential` and `.recommended`: each has `earned`, `available`, `passing`, `total`. Essential checks are the ones that matter most; a site can look polished and still fail them.
  • `score_breakdown.bonus`: `points` and `positive_signals`. Bonus is additive and never required; do not treat missing bonus signals as defects.
  • `issues[]`: each has `id`, `name`, `tier` (`essential` | `recommended` | `bonus`), `result` (`failed` | `partial`), `details` (evidence from the scan), and `recommendation` (the fix).
  • `report_url`: the canonical human-readable report. Cite it when reporting a score to a person.
  • `scanned_at`: when the audit ran. Reports are immutable snapshots.

Improve a site's score

1. Fetch the report for the exact target you are improving. 2. Work through `issues` in this order: `essential` failures, `essential` partials, then `recommended`. Ignore `bonus` unless everything else passes. 3. For each issue, `details` says what the scan observed and `recommendation` says what to change. Prefer the recommendation; it was written against the actual evidence. 4. After deploying fixes, get a fresh score and compare `scanned_at` to confirm you are not reading the old snapshot (see gotchas).

Errors

Failures are RFC 9457 `application/problem+json` with a stable `code` and a `resolution` hint. Act on the code:

  • `invalid_url` (400): pass a public HTTP or HTTPS URL.
  • `report_not_found` (404): no completed report exists; create one with the CLI, or open `https://is-agentic.com/scan/<target>` to start a scan, then retry after it completes.
  • `rate_limit_exceeded` (429): honor `Retry-After` before retrying.
  • `report_temporarily_unavailable` (503): retry shortly; do not start a new scan.

Gotchas

  • Reports refresh only when a visit finds them older than 6 hours. Re-running the CLI right after deploying a fix returns the same stored snapshot; check `scanned_at` before drawing conclusions, and use the Rescan control on the report page when a human needs an immediate re-run.
  • The API and the CLI differ on missing reports: the API returns 404, the CLI starts a scan and waits. Pick accordingly.
  • Targets are exact: `example.com/docs` and `example.com` are separate reports, and a URL with a query string is its own report.
  • The rate limit is 120 requests per IP per 60 seconds.
  • For token-light reading, content pages and completed reports honor `Accept: text/markdown`.
Read more
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