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 MSApps-Mobile/claude-plugins --skill prospectgit clone --depth 1 https://github.com/MSApps-Mobile/claude-pluginsWrote 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/msapps-mobile/claude-plugins/prospect)<a href="https://agentmods.dev/skills/msapps-mobile/claude-plugins/prospect"><img src="https://agentmods.dev/badge/skills/msapps-mobile/claude-plugins/prospect/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/msapps-mobile/claude-plugins/prospect"><img src="https://agentmods.dev/badge/skills/msapps-mobile/claude-plugins/prospect.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 | $0.00046 | $0.01827 |
| Opus 5.5 | $0.00018 | $0.00731 |
| Sonnet 5.5 | $0.00009 | $0.00365 |
| Haiku 4.5 | $0.00005 | $0.00183 |
Grade A, and why
prospect scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prospect
Go from an ICP description to a ranked, enriched lead list in one shot. The user describes their ideal customer via "$ARGUMENTS".
About MSApps (Context for Relevance Scoring)
MSApps is a boutique Israeli full-stack & mobile development company founded in 2010 by Michal Shatz. ~40 developers, designers, PMs — 100% Israeli team (no offshore). Core services: mobile apps (iOS/Android/React Native/Flutter), complex web applications, IoT & smart systems, AI integration, outsourcing & team augmentation, and consulting.
Key clients: Phoenix (insurance), Union Motors (Toyota/Lexus/Geely/Zeekr apps), Assuta Hospital (IVF app), Fox Group (Dream Card loyalty), Cynet (cybersecurity), Riskified, Theranica (MedTech), Isracard, Wolf Guard (security), AppCharge, AiOmed, Viventium (HR/Payroll).
Key differentiators: 100% Israeli team, 15+ years experience, end-to-end service (ideation → maintenance), senior+junior model for quality at competitive cost, "we don't disappear after launch", AI integration capabilities.
MSApps Proven Target Segments
When the user doesn't specify a detailed ICP, suggest these segments that MSApps actively targets:
- Startups (Series A-C) — CEOs, CTOs, VP Engineering needing dev team augmentation or MVP builds
- Enterprises — CTOs, VP IT, Heads of Digital at large companies needing mobile/web solutions or outsourcing
- Automotive / Mobility — CTOs, Innovation leads at car importers, leasing companies, fleet management
- FinTech / InsurTech — CEOs, CTOs at payments, lending, insurance tech companies (50-500 employees)
- Digital Health / MedTech — CEOs, CTOs at health tech startups needing patient apps, medical device connectivity, compliance
- Retail / E-commerce — CTOs, Heads of Digital at retail chains, loyalty programs, e-commerce platforms
- Cybersecurity — CEOs, CTOs at growing cyber companies needing to augment dev teams quickly
- PropTech / ConsTech — CEOs, CTOs at real estate tech, construction tech companies
- EdTech / LearningTech — CEOs, CTOs at educational technology companies
- AgriTech / FoodTech — CEOs, CTOs at agriculture and food technology companies
- LogisticsTech / Supply Chain — CEOs, CTOs at logistics, maritime, supply chain tech companies
- MarTech / AdTech — CEOs, CTOs at marketing technology and advertising platforms
- HRTech / WorkTech — CEOs, CTOs at HR platforms, payroll, workforce management
- CleanTech / EnergyTech — CEOs, CTOs at climate tech, energy, sustainability companies
- GamingTech / SportsTech — CEOs, CTOs at gaming studios, sports technology companies
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 · 133 lines · 46 tokens per session scan A 53eea60779ad
prospect is a skill published in the GitHub repository MSApps-Mobile/claude-plugins (10 stars, last pushed today), licensed MIT. It adds 46 tokens to every session and 1,827 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
Other skills, from other repositories
live-preview
Mid-build visual verification loop. Takes screenshots of components during construction, not just after. Catches visual regressions and invisible features before they compound. Requires Playwright or similar screenshot tool.
wiki
Markdown-first knowledge base where the LLM acts as librarian. Ingests raw sources, compiles and interlinks topic files, self-maintains an index. No vector DB or embeddings required -- uses LLM-native navigation over structured markdown up to 400K words.
media-gemini-3-image-prompt
A prompt builder for Gemini 3 Pro Image, also known as Nano Banana Pro, Google's image-generation model. It expands a short request into five parts covering the subject, action, setting, composition, lighting, style, and text constraints.
data-realestate
A lookup tool for reported South Korean property transactions using Ministry of Land data. It covers sales and rental deals for apartments, officetels, multi-family homes, houses, and commercial or office properties.
design-sync-upload
An uploader for design-system files such as DESIGN.md, tokens, logos, fonts, and images into Claude Design. It can either use an authenticated connection or prepare a folder and guide for manual upload.
meta-feedback
A feedback reporter that collects bug reports and feature requests, then formats them as GitHub Issues. GitHub Issues are shared records used by development teams to track work and problems.