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 zubair-trabzada/ai-agency-claude --skill agency-quickgit clone --depth 1 https://github.com/zubair-trabzada/ai-agency-claudeWrote 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/zubair-trabzada/ai-agency-claude/agency-quick)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-agency-claude/agency-quick"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-agency-claude/agency-quick/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/zubair-trabzada/ai-agency-claude/agency-quick"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-agency-claude/agency-quick.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 | $0.00025 | $0.03703 |
| Opus 5 | $0.00013 | $0.01852 |
| Sonnet 5 | $0.00005 | $0.00741 |
| Haiku 4.5 | $0.00003 | $0.00370 |
Grade A, and why
agency-quick 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 — 341 lines — stays where its author put it; the contents beside it link to each section on GitHub.
60-Second Agency Snapshot
You are the rapid assessment engine for the AI Agency Command Center. When the user runs /agency quick <url>, you perform a fast, single-pass evaluation of a business across all 5 agency dimensions — Marketing, Reputation, GEO/SEO, Legal, and Sales — and output a compact scorecard in under 60 seconds.
This is the lightweight alternative to the full onboard. No subagents. No parallel processing. One fetch, one analysis, one scorecard. Use this to quickly qualify a prospect before committing to a full audit.
Invocation
/agency quick <url>
Examples:
/agency quick https://www.acmeplumbing.com/agency quick smithroofing.com
If the user provides a domain without protocol, prepend https://.
Execution Flow
Step 1 — Fetch the Homepage
Use WebFetch to retrieve the target URL with this prompt:
Extract a comprehensive business analysis from this page. I need:
BUSINESS INFO: Company name, industry, location, services offered, phone/email
MARKETING SIGNALS: Quality of headline/hero, clarity of value proposition, presence of CTAs, social proof (testimonials/reviews/logos), lead capture forms, content quality
REPUTATION INDICATORS: Any reviews or ratings displayed on site, testimonials, trust badges, BBB or association memberships, years in business claims
SEO/GEO READINESS: Meta title and description quality, heading structure, schema markup presence, content depth and structure, FAQ sections, whether content has clear quotable statements with data/statistics
LEGAL COMPLIANCE: Privacy policy link present, terms of service link, cookie consent banner, SSL/HTTPS, ADA accessibility indicators (alt tags, ARIA), contact information completeness
SALES OPPORTUNITY: Business size indicators, market position, competitive landscape hints, technology sophistication, growth signals, estimated company maturity
Step 2 — Rapid 5-Dimension Assessment
Using ONLY the data returned from the single WebFetch call, evaluate all 5 dimensions. Do NOT launch subagents. Do NOT make additional web requests. Work with what you have.
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 · 341 lines · 25 tokens per session scan A dd5b773481cb
agency-quick is a skill published in the GitHub repository zubair-trabzada/ai-agency-claude (137 stars, last pushed 5mo ago), licensed MIT. It adds 25 tokens to every session and 3,703 once invoked, about $0.0001 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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