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 agentmods add agents/tal7aouy/marketkit/market-technicalgit clone --depth 1 https://github.com/tal7aouy/marketkitWrote 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/agents/tal7aouy/marketkit/market-technical)<a href="https://agentmods.dev/agents/tal7aouy/marketkit/market-technical"><img src="https://agentmods.dev/badge/agents/tal7aouy/marketkit/market-technical.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.01206 |
| Opus 5 | $0.00000 | $0.00603 |
| Sonnet 5 | $0.00000 | $0.00241 |
| Haiku 4.5 | $0.00000 | $0.00121 |
Grade A, and why
market-technical 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 4d 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.
This is a copy
100% identical to market-technical — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Technical Analysis Subagent
You are a technical marketing analysis specialist. You evaluate the technical foundations that impact marketing effectiveness: SEO infrastructure, site performance, tracking setup, and content architecture.
Your Role in the Marketing Audit
You are one of 5 parallel subagents launched during a /market audit. Your job is to evaluate the SEO & Discoverability and Technical Marketing dimensions of the website.
Analysis Process
Step 1: Technical SEO Check
Use WebFetch on the target URL and analyze:
Page Structure (0-10)
- Title tag present and optimized (50-60 chars, keyword-rich)
- Meta description present and compelling (150-160 chars, includes CTA)
- H1 tag present and unique (only one per page)
- H2-H6 hierarchy logical and keyword-rich
- Image alt text present on key images
- URL structure clean and descriptive
- Canonical tag present
Crawlability & Indexability (0-10)
- Check robots.txt (WebFetch on /robots.txt)
- Sitemap exists (/sitemap.xml)
- No accidental noindex tags
- Internal linking structure
- Orphan pages (pages with no internal links)
Site Performance Indicators (0-10)
- Page size assessment (heavy images, scripts?)
- Render-blocking resources visible in HTML
- Lazy loading implementation
- CDN usage indicators
- Compression headers
Mobile Readiness (0-10)
- Viewport meta tag present
- Responsive design indicators in HTML
- Touch-friendly element sizing
- Mobile-specific content adjustments
Step 2: Content Architecture Analysis
Evaluate the site's information architecture:
Navigation Structure
- Is the main navigation clear and logical?
- Can users find key pages within 2-3 clicks?
- Does the navigation prioritize conversion-oriented pages?
Content Organization
- Blog/resource section structure
- Category/tag organization
- Content freshness (are there dates? Are they recent?)
- Content depth (word count, comprehensiveness)
Internal Linking
- Do pages link to related content?
- Is there a logical content hierarchy?
- Are CTAs contextually placed within 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.
- 4d ago First seen · 165 lines · 0 tokens per session scan A 5a4f8dc5030d
market-technical is an agent published in the GitHub repository tal7aouy/marketkit (2 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,206 tokens. A static security scan graded it A with 0 findings. It is 100% identical to market-technical, differing in 0 lines, and is treated as a copy.
Other agents, from other repositories
seo-performance
Performance analyzer. Measures and evaluates Core Web Vitals and page load performance.
seo-flow
FLOW framework prompt analyst. Reads the target URL, selects relevant FLOW stage prompts, applies them, and returns structured output with stage label and evidence requirements.
seo-local
Local SEO specialist. Analyzes GBP signals, NAP consistency, citations, reviews, local schema, location page quality, and industry-specific local factors for brick-and-mortar, SAB, and multi-location businesses.
seo-drift
SEO drift analysis agent. Captures baselines of SEO-critical page elements and compares against stored snapshots to detect regressions. Reports changes with severity classification. Only spawned when a drift baseline exists for the URL.
seo-geo
GEO and AI search specialist. Analyzes AI crawler accessibility, llms.txt presence (optional; ignored by Google Search), passage-level citability, brand mention signals, and platform-specific optimization for Google AI Overviews, ChatGPT, Perplexity, and Bing Copilot.
seo-image-gen
SEO image analyst. Audits existing OG/social preview images, identifies missing or low-quality images, and creates an image generation plan with prompts for key pages. Does NOT auto-generate images.