seo-freshness — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited seo-freshness (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Freshness is a recency signal both classic ranking systems (Query Deserves Freshness) and AI answer engines weigh — Perplexity in particular favours recently-updated sources when citing. Date fields tie directly to Article schema (cross-check M5); see references/schema-tier1.md for the date rules.
Working from the PageSnapshot (rendered_dom if present, else raw_html):
datePublished/dateModified from JSON-LD Article/BlogPosting/NewsArticle.fixable: auto): inject a missing dateModified into existing Article schema as an additive diff for fix. Never backdate to a false date — use the verifiable last-change date (e.g. Last-Modified header / repo mtime / today) or leave a clearly-marked TODO placeholder the user confirms.fixable: proposed): surface visible-vs-schema date mismatches with the corrected value as a draft requiring per-item accept; never auto-rewrite a date the user must verify.fixable: advisory): recommend a genuine content refresh for stale-on-volatile pages — the tool never writes editorial content. Never fabricate dates or invent an update that did not happen.dom_assert: visible date string present and parses; matches schema value.schema_validator: datePublished/dateModified present, valid ISO 8601, dateModified >= datePublished.header_check: HTTP Last-Modified header corroborates the claimed modification date.needs_api, never a false pass.Findings conform to schema/finding.schema.json. Examples:
M13.datemodified.missing — Article schema with datePublished but no dateModified (status fail, severity 3, fixable: auto, axis both, confidence directional).M13.dates.visible_schema_mismatch — visible "Updated May 2025" vs schema dateModified: 2023-01-10 (status warn, severity 3, fixable: proposed, axis both, confidence directional).M13.content.stale_volatile — "best X 2024" page unchanged for 2 years on a fast-moving topic (status warn, severity 2, fixable: advisory, axis both, confidence directional).Each finding: evidence.observed quotes the page (date string + selector); verification.reproduce is a runnable assertion (e.g. node scripts/check-freshness.mjs --url <u>); expected_impact is banded + confidence-tagged, with any published number confined to rationale with a citation.
dateModified bump without a real content change is detectable and adds no durable value. Confidence here is directional, never established; never present a date edit as a guaranteed ranking gain or backdate to fake recency.~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.