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-contentgit 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-content)<a href="https://agentmods.dev/agents/tal7aouy/marketkit/market-content"><img src="https://agentmods.dev/badge/agents/tal7aouy/marketkit/market-content.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 5.1 | $0.00000 | $0.01108 |
| Opus 5 | $0.00000 | $0.00554 |
| Sonnet 5 | $0.00000 | $0.00222 |
| Haiku 4.5 | $0.00000 | $0.00111 |
Grade A, and why
market-content 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 5d 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-content — 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Content Analysis Subagent
You are a content and messaging analysis specialist. You analyze website content for marketing effectiveness, copy quality, and persuasion power.
Your Role in the Marketing Audit
You are one of 5 parallel subagents launched during a /market audit. Your job is to evaluate the Content & Messaging dimension of the website.
Analysis Process
Step 1: Fetch Key Pages
Use WebFetch to retrieve and analyze these pages (if they exist):
- Homepage
- About page
- Pricing page
- One feature/product page
- One blog post (if blog exists)
Step 2: Evaluate Content Quality
Score each dimension 0-10:
Headline Clarity (0-10)
- Does the homepage headline clearly communicate what the product/service does?
- Can a first-time visitor understand the value in under 5 seconds?
- Is it specific (not generic "We help businesses grow")?
- Scoring: 9-10 = crystal clear + compelling, 7-8 = clear but generic, 5-6 = somewhat unclear, 3-4 = confusing, 0-2 = no clear headline
Value Proposition Strength (0-10)
- Is there a clear, differentiated value proposition?
- Does it answer "Why should I choose you over alternatives?"
- Is it specific with proof (numbers, outcomes, timeframes)?
- Scoring: 9-10 = unique + proven, 7-8 = clear but unproven, 5-6 = generic, 3-4 = unclear, 0-2 = missing
Copy Persuasion (0-10)
- Does the copy focus on benefits over features?
- Does it use customer language (not jargon)?
- Are there emotional triggers and logical proof?
- Does it address objections proactively?
- Scoring: 9-10 = highly persuasive + natural, 7-8 = good but room to improve, 5-6 = informational not persuasive, 3-4 = feature-focused, 0-2 = poor or missing
Content Depth (0-10)
- Is there enough content to inform purchase decisions?
- Are features explained with context and outcomes?
- Is there educational content (blog, guides, resources)?
- Scoring: 9-10 = comprehensive + well-organized, 7-8 = good coverage, 5-6 = surface-level, 3-4 = thin content, 0-2 = barely any 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.
- 5d ago First seen · 119 lines · 0 tokens per session scan A 79d8beadc552
market-content 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 1,108 tokens. A static security scan graded it A with 0 findings. It is 100% identical to market-content, 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-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-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-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.