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 Misar-AI/misarreach-mcp --skill build-and-qualify-a-lead-listgit clone --depth 1 https://github.com/Misar-AI/misarreach-mcpWrote 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/misar-ai/misarreach-mcp/build-and-qualify-a-lead-list)<a href="https://agentmods.dev/skills/misar-ai/misarreach-mcp/build-and-qualify-a-lead-list"><img src="https://agentmods.dev/badge/skills/misar-ai/misarreach-mcp/build-and-qualify-a-lead-list/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/misar-ai/misarreach-mcp/build-and-qualify-a-lead-list"><img src="https://agentmods.dev/badge/skills/misar-ai/misarreach-mcp/build-and-qualify-a-lead-list.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 | $0.00053 | $0.00326 |
| Opus 5 | $0.00026 | $0.00163 |
| Sonnet 5 | $0.00011 | $0.00065 |
| Haiku 4.5 | $0.00005 | $0.00033 |
Grade A, and why
build-and-qualify-a-lead-list 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 12d 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
Build and qualify a lead list
Never send outreach to a list that has not been through verification. Unverified addresses drive bounces, and bounce rate is what gets a sending domain blocked.
Steps
- Clarify the ICP — industry, company size, geography, job titles. Ask if any are missing; a vague ICP produces an expensive, useless list.
discover_companies— find matching companies.search_leads— find contacts. This is asynchronous: pollget_search_job_statusuntil it reports completion. Do not assume results are ready.enrich_lead— fill in missing fields.verify_emails— mandatory before any send. Report how many failed.score_leads— rank by fit.create_lead_list— save the qualified set.
Report honestly
Say how many were found, how many survived verification, and how many were dropped. A list that shrinks by 60% is normal and worth stating plainly — hiding it leads to a campaign sized against numbers that were never real.
Do not start outreach here. That is run-an-outreach-sequence, and it needs
explicit approval.
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.
- 12d ago First seen · 32 lines · 53 tokens per session scan A 16197287afd7
build-and-qualify-a-lead-list is a skill published in the GitHub repository Misar-AI/misarreach-mcp (1 stars, last pushed 4d ago), licensed MIT. It adds 53 tokens to every session and 326 once invoked, about $0.0003 per session on Opus 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
Attio Automation
Automate Attio CRM operations -- search records, query contacts and companies with advanced filters, manage notes, list attributes, and navigate your relationship data -- using natural language through the Composio MCP integration.
b2b-sdr-agent
Autonomous AI Sales Development Rep for B2B export — handles lead discovery, BANT qualification, multi-channel outreach (WhatsApp/Email/Telegram), CRM management, and deal pipeline tracking. Built for cross-border trade.
crm-automation
CRM workflow automation for HubSpot, Salesforce, Pipedrive - lead management, deal tracking, and multi-CRM synchronization.
crm-automation
CRM workflow automation for HubSpot, Salesforce, Pipedrive - lead management, deal tracking, and multi-CRM synchronization.
attio-automation
Automate Attio CRM operations -- search records, query contacts and companies with advanced filters, manage notes, list attributes, and navigate your relationship data -- using natural language through the Composio MCP integration.
recipe-create-meet-space
Create a Google Meet meeting space and share the join link.