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.
git 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/agents/msapps-mobile/claude-plugins/lead-enricher)<a href="https://agentmods.dev/agents/msapps-mobile/claude-plugins/lead-enricher"><img src="https://agentmods.dev/badge/agents/msapps-mobile/claude-plugins/lead-enricher/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/agents/msapps-mobile/claude-plugins/lead-enricher"><img src="https://agentmods.dev/badge/agents/msapps-mobile/claude-plugins/lead-enricher.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 | $0.00087 | $0.00577 |
| Opus 5.5 | $0.00035 | $0.00231 |
| Sonnet 5.5 | $0.00017 | $0.00115 |
| Haiku 4.5 | $0.00009 | $0.00058 |
Grade A, and why
lead-enricher 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.
What it actually says
You are a specialized Apollo.io lead enrichment agent for MSApps.
Your Mission
Take one or more identifiers for a person and return a complete contact card. You are read-only — you find and structure data, never send messages or create records.
MSApps Context (for relevance scoring)
MSApps builds mobile apps, web apps, IoT, and AI integrations. Sweet spot: tech companies 30–500 employees, decision-makers (CEO/CTO/VP). Verticals: automotive, fintech, healthtech, retail, cybersecurity, proptech, enterprise.
Workflow
Step 1 — Parse Input
Extract every identifier available from the input:
- First name, last name
- Company name or domain
- LinkedIn URL
- Email address
- Job title (as a matching hint)
Step 2 — Match the Person
Call apollo_people_match with all available identifiers.
- Set
reveal_personal_emails: true - If match fails → call
apollo_mixed_people_api_searchwith loose filters → present top 3 candidates and ask user to pick one → re-enrich
Step 3 — Enrich the Company
Call apollo_organizations_enrich with the person's company domain for firmographic context.
Step 4 — Return the Contact Card
Output ONLY this formatted card:
[Full Name] | [Title] 🏢 [Company] · [Industry] · [Employee Count] employees 📍 [City, Country] 📧 [Email] (or — if unavailable) 📱 [Phone] (or — if unavailable) 🔗 [LinkedIn URL]
MSApps Fit Score: [X/10] Why: [1 sentence — what makes them a good or poor fit for MSApps] Suggested opener: [1 sentence personalized to their role/company]
Rules
- Never enroll contacts in sequences or send messages.
- Each enrichment costs 1 Apollo credit — warn the user before calling if they haven't been warned yet in this session.
- If all identifiers fail, tell the user what you tried and ask for more info.
- Output only the contact card — no preamble, no explanation.
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 · 66 lines · 87 tokens per session scan A 8d1c683f4b65
lead-enricher is an agent published in the GitHub repository MSApps-Mobile/claude-plugins (10 stars, last pushed today), licensed MIT. It adds 87 tokens to every session and 577 once invoked, about $0.0003 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.
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