Scovant Core

Definition

Scovant Core is an open-source passive scanner for machine-facing website signals used by AI agents. It checks crawler policy, structured data, agent discovery surfaces, protocol metadata, commerce signals and basic operability.

Scovant Core measures what a site declares. Scovant Cloud measures what real agents actually experience.

A high Core Score does not prove that autonomous agents can complete real workflows on the site.

30-second install

uvx --from scovant-core scovant scan https://example.com   # no install, needs uv
pipx run --spec scovant-core scovant scan https://example.com
pip install scovant-core                                    # Python >= 3.12
npx @scovant/core scan https://example.com                  # Node launcher, needs uv/pipx/python3

Example output

Running scovant scan https://example.com against a well-instrumented commerce site produces text output shaped like this (real output, generated from the commerce-good test fixture — a site with nothing to report, so "Top findings" is empty; any FAIL/WARN would be listed there). The (n/N) beside each category is how many of that category's applicable checks were actually evaluated — see docs/methodology.md for how the categories' depth varies in v0.1. The "Experimental (not scored)" block lists any experimental check that evaluated to something other than N/A on this scan, plus a compact "N/A: ..." line naming the experimental checks that had nothing to evaluate — so every check the header counts is named somewhere, never merely counted. These never affect the Static Signal Score; pass --experimental to also run the one experimental check (CORE-OPERABILITY-007) gated behind that flag.

SCOVANT CORE
──────────────────────────────────────────────

Target: https://example.com/
Profile: commerce (auto → commerce, confidence 0.85)
Core version: 0.1.1

Static Signal Score       100 / 100   A

Access & Discovery        100   (10/10)
Machine Understanding     100   (11/11)
Agent Interfaces          100   (2/2)
Trust & Commerce          100   (7/7)
Operability & Efficiency  100   (5/5)

45 checks
37 PASS
0 WARN
0 FAIL
8 N/A
0 ERROR

Top findings

(none)

Experimental (not scored)
──────────────────────────────────────────────
PASS  CORE-INTERFACE-008
      A UCP profile is published and valid.

PASS  CORE-MACHINE-012
      The structured price matches a visible price on the page.

N/A: CORE-INTERFACE-004, CORE-INTERFACE-009, CORE-OPERABILITY-007

Not tested by Scovant Core
──────────────────────────────────────────────
Observed WAF access       NOT TESTED
Real agent tasks          NOT TESTED
MCP tool execution        NOT TESTED
WebMCP state parity       NOT TESTED
Multi-model reliability   NOT TESTED
Regression stability      NOT TESTED

Verify with real agents:
https://scovant.com/scan?utm_source=scovant-core&utm_medium=cli&utm_campaign=oss

What Core checks

45 deterministic checks across 5 categories (5 of the 45 are experimental — they run and report but never affect the score; see below):

• Access & Discovery (10) — HTTPS reachability, robots.txt, AI crawler policy, training-vs-search crawler separation, sitemap availability and freshness, canonical URLs, indexability, llms.txt, Content-Signal
• Machine Understanding (12) — JSON-LD parseability, Organization and WebSite/WebPage entities, Product/Offer structured data, product identifier count, breadcrumbs, metadata quality, heading structure, language declaration, image alt coverage, and (experimental) visible-vs- structured price consistency
• Agent Interfaces (9) — MCP discovery and server-declaration quality, WebMCP static presence and (experimental) tool-declaration quality, OpenAPI discovery, OAuth authorization-server and protected-resource metadata, and (experimental) UCP profile validity and agent discovery surface presence (A2A cards, AI-plugin manifests, agents.json, Agent Skills)
• Trust & Commerce (7) — contact/support, shipping, returns/refund, privacy, terms, security.txt, and pricing discoverability
• Operability & Efficiency (7) — server-rendered core content, redirect-chain complexity, cache validators, broken machine-consumable endpoints, agent parse cost, form/control labels, and (experimental, --experimental only) machine-reference integrity

Experimental checks

Five checks ship experimental: they evaluate and appear in every report, but their weight is excluded from the Static Signal Score until they have been calibrated against real-world traffic and promoted.

ID	Title
CORE-INTERFACE-004	WebMCP tool declaration quality
CORE-INTERFACE-008	UCP profile validity
CORE-INTERFACE-009	Agent discovery surface presence
CORE-MACHINE-012	Visible vs. structured price
CORE-OPERABILITY-007	Machine reference integrity

CORE-OPERABILITY-007 is additionally gated on the --experimental flag itself — it is the only check whose gatherer (reference_integrity) makes any network request at all beyond the ordinary scan, so a plain scovant scan never resolves an external package registry or DNS name for it. The other four evaluate on every scan; they simply never move the score.

See docs/checks.md for the full catalog — every check's id, weight, applicable profile, and why it matters — generated straight from the check registry so it can never drift from what the package actually runs.

What Core does NOT test

Core is a static, unauthenticated scanner. It never opens a browser and never observes real traffic, so it cannot tell you:

• Observed WAF/bot-firewall access
• Real agent task completion
• MCP tool execution
• WebMCP state parity (runtime, not just static presence)
• Multi-model reliability
• Regression stability over time

Core vs Cloud

Scovant Core tells you what the website exposes. Scovant Cloud tells you what real AI agents actually experience.

See docs/core-vs-cloud.md for the full capability matrix and concrete "Core can determine / cannot determine / Cloud can test" examples, and scovant.com/open-source for the same comparison as a live, always-current page.

GitHub Action

- uses: Scovant/scovant-core@v0
  id: scan
  with:
    url: https://staging.example.com
    min-core-score: '70'
    fail-on: fail
    allow-private-networks: 'true'

@v0 is the moving major tag while the package is pre-1.0 — see docs/releasing.md; pin @v0.1.1 instead for an exact, never-moving version. allow-private-networks is what makes this example work against a private CI runner scanning its own not-yet-public staging host — see "Free boundary" below.

The action installs itself from the checked-out ref (pip install "$GITHUB_ACTION_PATH" — no PyPI dependency, no version skew between the tag you pinned and the code that runs), scans one URL, writes a Markdown summary to the job's Step Summary, uploads the full report (HTML by default) as a workflow artifact named scovant-core-report, and fails the step when the gate you configured trips.

Inputs

Input	Description	Default
url	Entry URL to scan	(required)
profile	auto|content|commerce|saas|api	auto
min-core-score	Fail the step below this score (empty = no gate)	''
fail-on	never|fail|warn	never
experimental	Score experimental checks too	false
timeout	Total scan budget in seconds	60
report-format	html|markdown — the uploaded artifact	html
allow-private-networks	Allow private/loopback targets (your own staging)	false
require-canonical	Fail the step unless the scan is CANONICAL with score status OK	false

Outputs

Output	Description
score	Static Signal Score (0-100, empty if unmeasured)
grade	Letter grade (empty if unmeasured)
pass_count	Number of PASS findings
warn_count	Number of WARN findings
fail_count	Number of FAIL findings
report_path	Path to the uploaded report file on the runner
coverage	Evidence coverage ratio (0.0-1.0)
score_status	OK|DEGRADED|NOT_CANONICAL|INSUFFICIENT_EVIDENCE
scan_scope	CANONICAL|CUSTOM|PARTIAL
error_count	Number of checks that errored

Free boundary

One URL, one run, no state, no comparison across runs, no schedule, no outgoing notification. For history, regression detection, real-agent simulation, and CI-triggered re-scans across your whole site, see Scovant Monitor.

JSON, Markdown and HTML output

scovant scan https://example.com --format json

produces a versioned JSON report (schema_version, core_version, ruleset_version, per-category scores, every finding with its own evidence) suitable for CI pipelines, matching the published docs/report.schema.json. Combine with --min-score/--fail-on for a CI-friendly exit code, or --output report.json to write it to a file.

scovant scan https://example.com --format markdown --output report.md

renders the same report as GitHub-flavored Markdown — score, per-category table, findings grouped by status with collapsible evidence — ready to paste into a pull request or issue.

scovant scan https://example.com --format html --output report.html

renders the same report as one self-contained HTML document (inline CSS, no external resources, no JavaScript) — open it directly in a browser or attach it as a CI artifact.

MCP

pip install "scovant-core[mcp]"
scovant mcp

starts a stdio MCP server so an agent host (Claude Desktop, Cursor, or any MCP client) can run Scovant Core's passive scan as a tool call instead of a shell command. Claude Desktop (claude_desktop_config.json) and Cursor (.cursor/mcp.json or Settings → MCP) both take the same config:

{
  "mcpServers": {
    "scovant-core": {
      "command": "scovant",
      "args": ["mcp"]
    }
  }
}

Tool	Description
scan_site	Run all 45 checks against one public URL, return the JSON report
get_core_score	Run the scan, return only the Static Signal Score summary
list_checks	List every check with category, weight, profiles, experimental flag
explain_check	Explain one check: why it matters, limitations, Cloud extension, references
get_finding	Return one finding from a scan this server already ran (no re-scan)

Every tool is passive/static only — the same evidence gathering scovant scan does (public documents: robots.txt, sitemaps, llms.txt, JSON-LD, MCP/OAuth/UCP discovery files), never a browser, never an MCP tools/call, never authentication. The server runs one scan at a time and keeps only the last 8 reports in memory for get_finding to read back.

Methodology

Full scoring methodology, the status/confidence model, the coverage floor, and rule versioning: docs/methodology.md.

Security

Scovant Core fetches arbitrary public URLs; see docs/security.md for the network safety model (scheme allow-list, SSRF guard, redirect/size/timeout limits). Scanning your own private/staging infrastructure needs an explicit opt-in — see docs/security.md § Private-network targets (opt-in). To report a vulnerability, see SECURITY.md or email security@scovant.com.

Community contributions (opt-in)

--contribute is off by default. When you pass it, Core sends ONE HTTPS POST, after the scan finishes, to a single fixed Scovant endpoint — a measurement of the PUBLIC site you just scanned, for the aggregate, opt-in community index at scovant.com/research:

scovant scan https://example.com --contribute

What is sent (exactly these fields, nothing else):

• domain — the scanned site's hostname (no path, no query string)
• timestamp — when the scan completed
• core_version, ruleset_version, ruleset_digest — which Core build and checklist produced the result
• profile — the resolved site profile (content/commerce/saas/api)
• experimental — whether experimental checks were included
• check_statuses — each check id's status (PASS/WARN/FAIL/N/A/ERROR)
• score — the overall value, grade, coverage and status

What is never sent: no page HTML, no evidence, no URLs beyond the domain itself, no IP address, no filesystem paths, no CLI flags beyond what's listed above. The request carries no cookies and never follows a redirect.

--contribute is refused (exit 2) together with --allow-private-networks — only a target Core itself already confirmed public gets contributed. A contribution never changes the CLI's exit code and never fails the scan; one line on stderr (contributed: <domain> (accepted|deduplicated|failed: <reason>)) reports the outcome. See docs/security.md § Outbound requests for the full network contract.

Contributing

See CONTRIBUTING.md. For how releases are made, verified, and pinned, see docs/releasing.md.

License

Apache-2.0. See LICENSE.