onsite-audit

onsite-audit is a skill for Claude Code from shalintripathi/organic-os. It costs 49 tokens per session (1,482 once invoked), scanned A, original, MIT.

A read-only on-page search-engine optimization audit for a web page or site section. Search-engine optimization means improving a page's structure and information so it can be understood by search systems.

In plain words
What is it for?
Use it to inspect titles, descriptions, headings, canonical and robots settings, image text alternatives, internal links, JSON-LD, answer summaries, server-rendered content, and author details.
Why use it?
It replaces guesswork with checks of page content, technical settings, links, structured data, and visible author information.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the organic-os plugin — 24 skills, 24 commands, 14 agents shipped together

Good fit Use it to inspect titles, descriptions, headings, canonical and robots settings, image text alternatives, internal links, JSON-LD, answer summaries, server-rendered content, and author details.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/shalintripathi/organic-os/onsite-audit
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add shalintripathi/organic-os --skill onsite-audit
Clone the repo
git clone --depth 1 https://github.com/shalintripathi/organic-os

Made for: Claude Code.

Or install organic-os, the plugin that ships this one along with the rest of its 24 skills, 24 commands, 14 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for onsite-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/shalintripathi/organic-os/onsite-audit/github.svg)](https://agentmods.dev/skills/shalintripathi/organic-os/onsite-audit)
Your own site
<a href="https://agentmods.dev/skills/shalintripathi/organic-os/onsite-audit"><img src="https://agentmods.dev/badge/skills/shalintripathi/organic-os/onsite-audit/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for onsite-audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/shalintripathi/organic-os/onsite-audit"><img src="https://agentmods.dev/badge/skills/shalintripathi/organic-os/onsite-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,482 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00049 $0.01482
Opus 5 $0.00024 $0.00741
Sonnet 5 $0.00010 $0.00296
Haiku 4.5 $0.00005 $0.00148

Measured 10d ago against content hash 3e6000654944, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

onsite-audit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugin/skills/onsite-audit/SKILL.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

On-page audit (read-only)

  1. Read profile if a brain repo exists (optional - this skill also works bare).
  2. Public checks per URL (WebFetch): title (length, keyword presence), meta description (present, and flagged when over ~155 chars - Google truncates around there), H1 count, heading structure, canonical, robots meta, image alts, internal links out, JSON-LD present/valid, answer-capsule presence in the first 200 words, server-rendered content check.
  3. Page essentials dimension - runs for each audited page, and site-wide where a check says so. Every check emits the standard falsifiable signal line (observation | why it matters | "we are wrong if..." | leading indicator) and, where a fix is actionable, feeds onsite-propose. Evidence discipline throughout (see plugin/docs/evidence.md): state what was measured versus what was inferred, and never promise a third-party outcome (rankings, citations) as the result of a fix.
    1. Author entity (E-E-A-T): the author has a visible on-page bio, sameAs links, and - for AI-attributed content - a named human reviewer note on the page; the author schema node carries description + sameAs. A thin entity -> P2 signal + a gated proposal. The remediation is site-level: the CMS adapter can write the author profile description where capabilities()['author_profile_fields'] is true (the WordPress adapter's update_user writes it over REST), plus the schema settings; any step beyond the adapter's capabilities() ends partially-applied per skills/onsite-apply, with the human step named.
    2. Answer capsule: a 40-60 word standalone answer sits above the first H2. Missing -> P2 signal + a content-refresh proposal.
    3. In-content images: zero images in a 500+ word explainer -> P3 signal referencing the image-brief path (skills/ce-image writes <slug>-image-brief.md). Image findings - this gap and step 2's missing alts - now feed image-fix proposals (the image-fix action type in skills/onsite-propose, executed gated by skills/onsite-apply).
    4. Meta description length: lives in step 2's meta checks (extended there with the ~155-char flag) - listed here for completeness, never duplicated as a second check.
    5. Social image shape: og:image is square while twitter:card is summary_large_image -> P3 signal + proposal (site-level asset); if no landscape asset exists, route via the image-brief fallback above.
    6. Publisher schema shape: the publisher node missing logo/url, or mixing Person and Organization types -> P3 signal for the entity-schema lane (entity-schema-engineer).
    7. Sitemap membership (site-wide): any published post older than 1 hour absent from the sitemap -> P2 signal ("likely regeneration lag or cache; if the SEO plugin's cache purge needs admin, this ends partially-applied").
  4. Link health and internal-link graph dimension - site-wide, one capped crawl per run. Own-site rule, stated because it matters: this crawl touches ONLY the profile's own site. ADR-0006's no-scraping decision bans scraping third parties; your own property is yours to crawl, and onsite.linkgraph.crawl enforces it - it never follows an off-host link. Run crawl(base_url, stdlib_fetch, max_pages=100, seed_urls=<the profile sitemap's URLs>) (seeding with the sitemap is what lets a page nothing links to enter the graph at all; no sitemap means orphan detection is skipped and noted, never guessed), then analyze(graph). Checks, each in the standard falsifiable signal form:
    1. Broken internal links (analyze()['broken']): a linked target answering 4xx or unreachable -> P2 signal naming the source page, the target, and the status. From the clearest case, ONE gated fix proposal per run via onsite-propose: rewrite the source link to the correct target, or a redirect where the target moved (the redirect action type in skills/onsite-apply). Links resolving through a 3xx hop (redirect_chains) ride along as evidence in the same signal lane; rewriting the link to the final target is the usual fix.
    2. Orphan pages (analyze()['orphans']): in the sitemap seed but zero inbound internal links -> P3 signal recommending internal links from the top hubs (analyze()['hubs'] names them). Where an orphan also sits on the latest weekly striking-distance list (skills/hoo-weekly), note the linkage in the signal - the two findings share one fix.
    3. Shallow striking-distance pages: fewer than 2 inbound links AND on the latest weekly striking-distance list -> P2 signal. This is the highest-leverage internal-link play: the query already sits at position 4-15 and links from the hubs are the one lever fully in our hands. Falsifiability line, verbatim in the signal: "we are wrong if 2+ new hub links do not move the query's position within 28 days."
  5. If CMS credentials exist: pull the post via the CMS adapter (WordPress today) with get_post + get_rendered_head for the rendered truth; list the SEO meta field values (RankMath fields on WordPress).
  6. Launch technical-seo-auditor for site-level context when auditing > 3 URLs.
  7. Output: per-URL scorecard table + prioritized issue list. File signals for P0/P1 issues, plus the page-essentials signals from step 3 and the link-health signals from step 4, if a brain repo exists. Propose nothing here; that is onsite-propose's job (the one broken-link fix in step 4 included - the audit only names it).

Read the full file on GitHub · 102 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 102 lines · 49 tokens per session scan A 3e6000654944

Subscribe to this mod's changes

onsite-audit is a skill published in the GitHub repository shalintripathi/organic-os (5 stars, last pushed 2d ago), licensed MIT. It adds 49 tokens to every session and 1,482 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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