Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/mshahiddigital/agentic-local-seo-auditnpx agentmods add skills/mshahiddigital/agentic-local-seo-audit/content-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/content-audit)<a href="https://agentmods.dev/skills/mshahiddigital/agentic-local-seo-audit/content-audit"><img src="https://agentmods.dev/badge/skills/mshahiddigital/agentic-local-seo-audit/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/content-audit"><img src="https://agentmods.dev/badge/skills/mshahiddigital/agentic-local-seo-audit/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 | $0.00071 | $0.05692 |
| Opus 5 | $0.00036 | $0.02846 |
| Sonnet 5 | $0.00014 | $0.01138 |
| Haiku 4.5 | $0.00007 | $0.00569 |
Grade A, and why
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 11d 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 — 425 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Audit — Phase 4
Executive Summary
Content quality is the primary differentiator between sites that rank and sites that don't in 2025. Google's Helpful Content System (HCS), integrated into the core algorithm in March 2024, actively penalizes template-based, AI-generated-without-expert-review, and thin location pages. The key thresholds: ≥60% unique content per location page (hard floor — below this risks HCS penalty), ≥80% unique (competitive target). FAQPage schema on service pages triggers AIO citations at 3.2× the rate of pages without it (Amsive 2025). Content decay (>20% YoY impressions decline) now affects most sites that haven't refreshed since 2022–2023 — ChatGPT cites pages updated within 30 days at 76.4% vs. 31.2% for 90+ day old content. The fastest wins: add FAQPage schema (30 min/page), refresh decayed content with updated stats, and fix service pages below 800 words.
2025 content benchmarks:
- Service pages: minimum 800 words; competitive 1,200–2,000 words (HCS 2025 standards)
- Location pages: ≥60% unique (hard floor); ≥80% unique (competitive target)
- Content decay threshold: >20% YoY click decline → refresh required (GSC comparison)
- FAQPage schema → 3.2× AIO citation rate (Amsive 2025); HowTo schema = structured step extraction
- Pillar page threshold: 25+ total articles in cluster = topical authority signal (SEMrush 2024)
- AI-generated content: acceptable only with documented human expert review (Google Webmaster guidelines 2025)
Step 1: Read Project Context & Run Crawl
Read {AUDIT_DIR}/intake-data.md — business name, services, location, goals.
Read {AUDIT_DIR}/technical-findings.md — indexation data, duplicate content flags.
# Run crawler if not already done (from technical-seo or here)
python3 scripts/site_crawler.py --url [URL] --max-pages 150 --output {DATA_DIR}/crawl/ --csv
Tools for this phase:
| Tool | Purpose | Cost |
|---|---|---|
| Screaming Frog | Word counts, title/meta duplicates, thin pages (<300 words), canonicals | Paid/Free (≤500 URLs) |
| Siteliner | Duplicate content % across site, most-linked pages (free up to 250 pages) | Free |
| SEMrush | GSC import — traffic per page, keyword ranking per page, content decay analysis | Paid |
| Surfer SEO | Content Score per page vs. competitors — targets 70+ (cluster) / 80+ (pillar) | Paid |
| Clearscope | Content grade per page — target A- (pillar) / B+ (cluster) | Paid |
| Copyscape | External duplicate content detection — scraped copies | Paid |
| Google Search Console | Page-level impressions/clicks — identify content decay (>20% YoY decline) | Free (requires access) |
| site_crawler.py | --csv output: word counts, status codes, title/meta data per page |
Free (local) |
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.
- 11d ago First seen · 425 lines · 71 tokens per session scan A acef6c56fdf0
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 71 tokens to every session and 5,692 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.
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