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/strikersam/autonomous-ai-agencynpx agentmods add skills/strikersam/autonomous-ai-agency/seo-audit-reportWrote 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/strikersam/autonomous-ai-agency/seo-audit-report)<a href="https://agentmods.dev/skills/strikersam/autonomous-ai-agency/seo-audit-report"><img src="https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/seo-audit-report/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/strikersam/autonomous-ai-agency/seo-audit-report"><img src="https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/seo-audit-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 77 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
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 | $0.00091 | $0.01442 |
| Opus 5 | $0.00046 | $0.00721 |
| Sonnet 5 | $0.00018 | $0.00288 |
| Haiku 4.5 | $0.00009 | $0.00144 |
Grade A, and why
seo-audit-report 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 9d 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: seo-audit-report
Purpose
Run a full SEO / GEO / AEO / AIO audit against any public website and produce an executive-level PDF report suitable for CTO or client delivery.
The crawl uses curl_cffi with Chrome 120 TLS impersonation to bypass bot-protection layers (Akamai, Cloudflare) that block plain httpx crawlers. Playwright browser mode is supported when system dependencies are available; curl_cffi is the reliable fallback.
Quick Start
python scripts/run_seo_audit.py \
--website-url https://www.example.com \
--output-dir ./seo-output
All other parameters have sensible defaults. See --help for full options.
Parameters
| Parameter | Default | Description |
|---|---|---|
--website-url |
required | Site to audit |
--max-pages |
100 | Crawl budget (pages) |
--max-depth |
3 | Link-follow depth |
--output-dir |
./seo-audit-output |
Where to write files |
--monthly-organic-revenue |
0 | Revenue baseline for at-risk modelling |
--check-image-sizes |
true | HEAD-request image sizes (slower) |
--no-check-image-sizes |
— | Skip image size checks for speed |
Output Files
| File | Contents |
|---|---|
{domain}_seo_audit.pdf |
Executive PDF report (cover, executive summary, pillar deep-dives, full findings, delegation plan, methodology) |
{domain}_report.json |
Full machine-readable report (all pages, all issues, pillar scores) |
{domain}_report.md |
Markdown version of the report |
{domain}_findings.csv |
Summary CSV: one row per finding type with priority, URLs affected, how-to-fix |
{domain}_pages.csv |
Per-page CSV: URL, status, title, H1, word count, issues found |
{domain}_issues.csv |
Per-issue-instance CSV: URL × check_code × details |
Verify Bypass Quality
Before trusting results, spot-check the JSON:
import json
with open("seo-output/example.com_report.json") as f:
r = json.load(f)
pages = r["pages"]
# All should show status_code=200 and via="curl_cffi"
print({p["url"]: (p["status_code"], p.get("fetch_via","?")) for p in pages[:5]})
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.
- 9d ago First seen · 152 lines · 91 tokens per session scan A e5683ffb638b
seo-audit-report is a skill published in the GitHub repository strikersam/autonomous-ai-agency (8 stars, last pushed today), licensed MIT. It adds 91 tokens to every session and 1,442 once invoked, about $0.0005 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 2026-09-03.
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