Borrowing it
Nothing to install: this file belongs to mshahiddigital/agentic-local-seo-audit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mshahiddigital/agentic-local-seo-audit/main/CLAUDE.mdgit 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/instructions/mshahiddigital/agentic-local-seo-audit/claude-md)<a href="https://agentmods.dev/instructions/mshahiddigital/agentic-local-seo-audit/claude-md"><img src="https://agentmods.dev/badge/instructions/mshahiddigital/agentic-local-seo-audit/claude-md/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/instructions/mshahiddigital/agentic-local-seo-audit/claude-md"><img src="https://agentmods.dev/badge/instructions/mshahiddigital/agentic-local-seo-audit/claude-md.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 | $0.07824 | $0.07824 |
| Opus 5 | $0.03912 | $0.03912 |
| Sonnet 5 | $0.01565 | $0.01565 |
| Haiku 4.5 | $0.00782 | $0.00782 |
Grade A, and why
agentic-local-seo-audit CLAUDE.md 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 — 579 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — Local Business SEO Audit System
Version: 3.5 | Last Updated: March 2026
Scope: Folder-level instructions — activates automatically when this project folder is opened
Full phase checklists:
references/phase-checklists.mdScoring frameworks:references/local-impact-benchmark.md|references/serp-trust-benchmark.mdScoring methodology:references/scoring-methodology.mdPython scripts:scripts/directory (setup_project, generate_pdf, check_url, score_calculator, audit_status, report_compiler, site_crawler, quality_checker) Auto-improve:auto-improve.md(loop instructions) |scripts/quality_checker.py(quality metric) |IMPROVEMENT_LOG.md(session log) Slash commands:.claude/commands/directory (42 commands — thin triggers that invoke full SKILL.md skills)
SEO-AUTOIMPROVE MODE
Inspired by karpathy/autoresearch. Runs an autonomous improvement loop on SKILL.md files.
Trigger Commands
When ANY of the following are detected, read auto-improve.md and start the improvement loop:
Read auto-improve.md and start improving | Run auto-improve | Start skill improvement loop
Improve all skills | Run the improvement loop | /auto-improve
How It Works
REPEAT FOREVER:
1. Pick SKILL.md with lowest quality score
2. python3 scripts/quality_checker.py --skill [path] → baseline_score
3. Web-research latest 2025/2026 best practices for this domain
4. Improve the SKILL.md (specificity, recency, actionability, completeness)
5. git commit → re-score → IF improved: KEEP | IF not: git reset
6. Log to IMPROVEMENT_LOG.md → cycle to next skill
NEVER STOP until manually interrupted
Auto-Improve Rules
- Only modify SKILL.md files — never touch quality_checker.py, auto-improve.md, CLAUDE.md, or Python scripts
- Revert on no improvement — stash uncommitted work first (
git stash --include-untracked), thengit reset --hard HEAD~1, then restore (git stash pop 2>/dev/null || true) - Log every experiment — every attempt (kept or reverted) goes in IMPROVEMENT_LOG.md
- Never push — all changes stay local until user reviews and merges
- Branch isolation — always work on
autoimprove/YYYY-MM-DDbranch
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 · 579 lines · 7,824 tokens per session scan A a597f46427f1
agentic-local-seo-audit CLAUDE.md is an instructions file published in the GitHub repository mshahiddigital/agentic-local-seo-audit (20 stars, last pushed 5mo ago), licensed MIT. It adds 7,824 tokens to every session, about $0.0391 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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