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.
npx skills add mshahiddigital/agentic-local-seo-audit --skill ai-content-auditgit clone --depth 1 https://github.com/mshahiddigital/agentic-local-seo-auditWrote 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.
[](https://agentmods.dev/skills/mshahiddigital/agentic-local-seo-audit/ai-content-audit)<a href="https://agentmods.dev/skills/mshahiddigital/agentic-local-seo-audit/ai-content-audit"><img src="https://agentmods.dev/badge/skills/mshahiddigital/agentic-local-seo-audit/ai-content-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.
<a href="https://agentmods.dev/skills/mshahiddigital/agentic-local-seo-audit/ai-content-audit"><img src="https://agentmods.dev/badge/skills/mshahiddigital/agentic-local-seo-audit/ai-content-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00089 | $0.06763 |
| Opus 5 | $0.00044 | $0.03381 |
| Sonnet 5 | $0.00018 | $0.01353 |
| Haiku 4.5 | $0.00009 | $0.00676 |
Grade A, and why
ai-content-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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 382 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Content Audit & Humanization — Phase 4a
Executive Summary
Google's Helpful Content System (HCS), integrated into the core algorithm March 2024, actively targets AI-generated content produced without documented human expert review. The 2025 reality: AI detectors like Originality.ai, GPTZero, and Copyleaks flag content at >80% AI-likelihood as a reputational risk, but more critically, Google's own Navboost behavioral signals catch AI content indirectly — users bounce faster from lifeless, formulaic pages (high pogo-stick rate → ranking suppression). For local businesses, AI-written content is especially damaging: a plumber using "delve into," a dentist writing "testament to our commitment," or an HVAC company saying "nestled in the vibrant community" signals zero first-hand experience. E-E-A-T's "Experience" pillar (the first E added in December 2022) specifically rewards first-person, situated knowledge — the exact opposite of AI-pattern writing.
2025 AI content benchmarks:
- Google HCS: AI-generated content requires documented human expert review (Webmaster Guidelines 2025)
- E-E-A-T Experience signal: first-hand language increases AIO citation probability 40% (Semrush 2024)
- Originality.ai threshold: >80% AI score = flagged for manual review; industry-acceptable: 25–40% AI score after humanization
- Bounce rate correlation: AI-pattern pages average 72% bounce vs. 51% for human-written equivalents (Contentsquare 2024)
- Local business impact: service pages with AI patterns convert at 1.8–2.4% vs. 3.5–6% for authentic pages
- FAQPage schema + human voice: 3.2× AIO citation rate (Amsive 2025) — schema alone insufficient without authentic answers
- Reading level target: Flesch Reading Ease 60–70 (Grade 8–9) — US adult average reads at 8th grade; AI content often scores Grade 12–16 (too complex)
- Content length for LLM visibility: 1,500+ words with embedded statistics = 30–40% higher AI citation rate (Superlines 2025)
- Stat frequency: 1 data point per 150–200 words — content with embedded stats gets +22% GEO/AEO visibility (Superlines 2025)
- Expert quotations: +37% LLM citation visibility vs. pages without attributed quotes
- Content freshness: pages updated within 60 days get 28% better AI search visibility; within 30 days = 76.4% ChatGPT citation rate
- AI-referred traffic value: converts at 4.4× higher rate than organic (16% vs. 3.6% CVR) — high-quality human content that earns AI citations is highest-ROI content
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.
- 12d ago First seen · 382 lines · 89 tokens per session scan A 6fe1eae2eaee
ai-content-audit is a skill published in the GitHub repository mshahiddigital/agentic-local-seo-audit (20 stars, last pushed 5mo ago), licensed MIT. It adds 89 tokens to every session and 6,763 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
citedy-seo-agent
Full-stack AI marketing toolkit — scout X/Twitter and Reddit for trending topics, discover and deep-analyze competitors, find content gaps, publish SEO- and GEO-optimized articles with AI illustrations and voice-over in 55 languages, create social media adaptations for X, LinkedIn, Facebook, Reddit, Threads…
ai-visibility
Fast-path AI visibility — get a brand's 0–100 Akii Visibility Score (computed by an open-source LLM judge against the brand's public footprint) with four-dimension breakdown AND a per-engine proxy map for ChatGPT, Claude, Gemini, Perplexity, Copilot, and Google AI Overviews based on FirstPageSage signal weights.…
optimize-page
Comprehensive single-page optimization across all three layers — traditional SEO (title / meta / H1 / internal links), AEO (chunk quality, direct-answer leads, FAQ extraction), and GEO rewrites using the tactics published by the Princeton/IIT Delhi GEO study (citation integration, expert quotes, statistics enrichment…
seo-audit
Single audit entry point — surface-level scorecard or deep infrastructure dive depending on the requested mode. Default full mode produces a multi-layer scorecard across all 9 areas (crawlability, indexation, meta tags, headings, images, Core Web Vitals, JS rendering, mobile + security, structured data, internal…
broken-links
Find and fix broken links — three modes with different scale ceilings. local audits any local repo (HTML/MD/MDX, no size limit) via Glob/Grep + per-link verification. page checks one live URL deeply (30-100 outbound links per run). site requires the Ahrefs site-audit MCP for true multi-page crawl — without it, refuses…
competitor-intel
Fast-path competitor intelligence — produces a side-by-side SEO + AEO + GEO + AI visibility scorecard plus ranked counter-move plan. Three modes the skill ASKS the user to pick (no default): Quick (10s, surfaces 5 likely competitors from SERPs), Comprehensive (30-60s, multi-source discovery with Ahrefs MCP if…