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 tal7aouy/marketkit --skill market-proposalgit 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/skills/tal7aouy/marketkit/market-proposal)<a href="https://agentmods.dev/skills/tal7aouy/marketkit/market-proposal"><img src="https://agentmods.dev/badge/skills/tal7aouy/marketkit/market-proposal/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/tal7aouy/marketkit/market-proposal"><img src="https://agentmods.dev/badge/skills/tal7aouy/marketkit/market-proposal.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 | $0.00000 | $0.03728 |
| Opus 5.5 | $0.00000 | $0.01491 |
| Sonnet 5.5 | $0.00000 | $0.00746 |
| Haiku 4.5 | $0.00000 | $0.00373 |
Grade A, and why
market-proposal 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 1mo 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-proposal — 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 — 382 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Client Proposal Generator for Marketing Services
Skill Purpose
Generate a professional, client-ready marketing services proposal. This skill produces a complete proposal document that positions the agency/consultant as the clear choice, frames pricing with anchoring and tiered options, and includes ROI projections to justify the investment.
When to Use
- User wants to create a proposal for a prospective marketing client
- User has completed a discovery call and needs to formalize the engagement
- User wants a template for their marketing agency's proposals
- Triggered by
/market proposalor/market proposal <client name>
How to Execute
Step 1: Gather Proposal Inputs
Collect these details from the user (ask if not provided):
About the Client:
- Client name and company
- Industry and business model
- Current marketing situation (what they're doing now)
- Primary pain points or challenges
- Goals (revenue, growth, leads, brand awareness)
- Budget range (if known)
- Decision timeline
- Key stakeholders and decision-makers
About the Services:
- What services are you proposing? (SEO, paid ads, content, social, email, full-stack)
- Engagement model (retainer, project, performance-based)
- Proposed timeline
- Your relevant case studies or results
If audit data exists: Check for any previous /market audit results. If found, automatically incorporate the findings into the Situation Analysis section for a data-backed proposal.
Step 2: Discovery Call Question Framework
If the user hasn't had the discovery call yet, provide these 10 essential questions:
Business Understanding:
- "Walk me through your business model. How do you make money?"
- "Who is your ideal customer? Describe them in detail."
- "What does your sales process look like from first touch to closed deal?"
Current Marketing: 4. "What marketing are you doing today, and what's working or not working?" 5. "What's your current monthly marketing spend, and what's the ROI?" 6. "What tools and platforms are you using?"
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.
- 1mo ago First seen · 382 lines · 0 tokens per session scan A 0cecdc63e563
market-proposal is a skill published in the GitHub repository tal7aouy/marketkit (2 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,728 tokens. A static security scan graded it A with 0 findings. It is 100% identical to market-proposal, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
marketing-expert
Build comprehensive marketing technology solutions including automation workflows, campaign management, analytics tracking, and multi-channel orchestration. Use when the user mentions marketing automation, campaign management, SEO, email or content marketing, attribution, or multi-channel orchestration.
cold-outbound-sequencer
Use when the user asks to "build a B2B cold-outbound sequence", "design reply-triage branching", "plan a domain warmup / sending throttle", or "make my outbound CAN-SPAM / opt-in compliant"; produces a multi-step outbound sequence with reply-triage branches (positive / objection / referral / not-now / opt-out), a…
inbox-placement-monitor
Use when the user asks to "track where my emails are actually landing after I send", "read my seed-list inbox vs spam vs promotions results", "trend my Gmail Postmaster / Microsoft SNDS reputation", or "did placement drop after my last send"; produces a per-provider inbox/spam/promotions placement read, a domain/IP…
newsletter-monetization-planner
Use when the user asks to "monetize my newsletter", "build a sponsorship rate card", or "model paid-subscription revenue"; produces a revenue model (paid tiers, ad/sponsorship inventory + CPM/flat rate card, referral/boost loops), a list-growth ↔ revenue projection, and honest-offer / disclosure checks for the SEND-D…
contract-helper
Use when the user asks to "draft an influencer contract", "review these agreement terms", or "build a partnership template"; produces a full influencer agreement framework (scope, compensation, usage rights, exclusivity, FTC disclosure), a clause-by-clause review with red flags, and a negotiation cheat sheet. Not for…
audience-mapper
Use when the user asks to "analyze my target audience", "build an audience profile for influencer targeting", "research a niche community", or "deep-dive a subculture before partnering with creators"; in audience mode produces demographic/psychographic profiles, a platform-priority matrix, named personas, and an…