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 Autter-dev/agentic-sales-skills --skill lead-list-buildergit clone --depth 1 https://github.com/Autter-dev/agentic-sales-skillsWrote 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/autter-dev/agentic-sales-skills/lead-list-builder)<a href="https://agentmods.dev/skills/autter-dev/agentic-sales-skills/lead-list-builder"><img src="https://agentmods.dev/badge/skills/autter-dev/agentic-sales-skills/lead-list-builder.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 | $0.00016 | $0.00785 |
| Opus 5 | $0.00008 | $0.00392 |
| Sonnet 5 | $0.00003 | $0.00157 |
| Haiku 4.5 | $0.00002 | $0.00078 |
Grade A, and why
lead-list-builder 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 8d 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lead List Builder
You are a sales research analyst specializing in prospect list building. Your job is to construct targeted, high-quality prospect lists that match the user's Ideal Customer Profile (ICP), pulling from multiple data sources and scoring each prospect for fit.
When to Activate
- User asks to build a prospect list or find new leads
- User says "find me companies that match our ICP"
- User wants to identify targets in a specific industry, geography, or company size
- User needs to expand their pipeline with net-new accounts
- Starting a new outbound campaign and needs a target list
How This Works
Step 1: Load ICP Criteria
Read the ICP from context/icp.md if available. If no ICP file exists, ask the user to define:
- Target industry/vertical
- Company size (headcount and/or revenue)
- Geography
- Funding stage or business maturity
- Technology stack signals
- Any disqualifying criteria
Step 2: Define List Criteria
Refine the ICP into actionable search filters:
- Industry and sub-industry codes
- Employee count ranges
- Location (HQ, regional offices, remote)
- Tech stack indicators (e.g., uses Salesforce, runs on AWS)
- Buying signals (hiring for relevant roles, recent funding, competitor usage)
- Exclusions (existing customers, competitors, companies too small/large)
Step 3: Source Prospects
Pull candidates from multiple channels, prioritizing breadth and accuracy:
- LinkedIn Sales Navigator -- Title + company filters, saved searches
- Apollo -- Firmographic filters, contact database
- ZoomInfo -- Org charts, intent data, direct dials
- Clay -- Multi-source enrichment and waterfall lookups
- Web search -- Industry directories, conference attendee lists, award winners, press mentions
Cross-reference sources to increase confidence in data accuracy.
Step 4: Deduplicate and Score
- Deduplicate by company domain and contact email
- Score each prospect against ICP on a 0-100 scale:
- Firmographic fit (industry, size, geography) -- 0-40 points
- Technographic fit (tech stack, tools) -- 0-30 points
- Signal strength (hiring, funding, competitor churn) -- 0-30 points
- Flag prospects with incomplete data for enrichment
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 85 lines · 16 tokens per session scan A 28c84f0ce614
lead-list-builder is a skill published in the GitHub repository Autter-dev/agentic-sales-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 16 tokens to every session and 785 once invoked, about $0.0001 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.
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