lead-gen

lead-gen is a skill for Claude Code, Codex from ericrisco/rsc-harness. It costs 77 tokens per session (2,622 once invoked), scanned A, original, MIT.

A process for building and ranking a prospect list before outreach begins. It defines the ideal customer, finds named companies and people, removes duplicates, checks compliance, and scores each entry.

In plain words
What is it for?
It helps define target accounts and roles, source contacts, deduplicate them against a CRM, rank fit and intent, and prepare a prioritized handoff list.
Why use it?
It helps sales teams avoid chasing vague, duplicate, unverified, or poorly matched prospects.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps define target accounts and roles, source contacts, deduplicate them against a CRM, rank fit and intent, and prepare a prioritized handoff list.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ericrisco/rsc-harness/lead-gen
Install

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.

Any agent
npx skills add ericrisco/rsc-harness --skill lead-gen
Clone the repo
git clone --depth 1 https://github.com/ericrisco/rsc-harness

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for lead-gen

README.md
[![agentmods](https://agentmods.dev/badge/skills/ericrisco/rsc-harness/lead-gen.svg)](https://agentmods.dev/skills/ericrisco/rsc-harness/lead-gen)
Your own site
<a href="https://agentmods.dev/skills/ericrisco/rsc-harness/lead-gen"><img src="https://agentmods.dev/badge/skills/ericrisco/rsc-harness/lead-gen.svg" alt="Measured on agentmods" height="20"></a>
Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,622 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00077 $0.02622
Opus 5 $0.00039 $0.01311
Sonnet 5 $0.00015 $0.00524
Haiku 4.5 $0.00008 $0.00262

Measured 4d ago against content hash 38c380cb2786, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

lead-gen 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 4d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/verify.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/lead-gen/SKILL.md · 152 lines

How it starts

The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lead Gen — The List and the Model That Ranks It

You turn "we sell X to Y" into a deduplicated, scored, compliance-cleared roster of named accounts and people. You define the target, you build the list, you rank it — then you stop. What you produce is a prioritized roster plus the rationale that ranked it; the hand-off is the finish line, not the campaign.

The pipeline — three phases, two gates

Run these in order. Each gate is a hard stop: do not advance until the prior phase produced its artifact.

  1. Define the target → a falsifiable ICP + persona. Why: you cannot dedupe or score against a vibe; a vague ICP guarantees reps chase the wrong companies.
  2. Build the list → sourced, deduped, verified rows with provenance. Why: an unverified or undocumented list is a deliverability and legal liability before a single email goes out.
  3. Score & prioritize → tiered list (A/B/C) with subscores + handoff packet. Why: an unsorted list means reps work the easy-to-reach names, not the right ones.

Between phase 2 and the handoff sits the compliance gate (GDPR LIA + CAN-SPAM). Run it before you hand anything off, never after the first send.

Phase 1 — Define a falsifiable ICP

An ICP is falsifiable when you can look at any company and answer "in or out?" with no judgement call. Write three blocks:

  • Firmographic — headcount band, revenue band, region/country, industry/NAICS, funding stage. Numbers, not adjectives.
  • Technographic / intent — required stack (e.g. "runs Salesforce"), or an active trigger (hiring for role X, recently raised, surging on a topic). Apollo filters on 1,500+ technologies and active job postings, so make these checkable. (docs.apollo.io People API Search, accessed 2026-06-02.)
  • Negative criteria — the disqualify if… list. This is the half everyone skips and the half that saves the most rep time.

Then write the buyer persona(s) inside the account: title, seniority, the pain they own, the trigger that makes now the moment.

Read the full file on GitHub · 152 lines

Files

What ships with it

5 files 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.

Changes

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.

  1. 4d ago First seen · 152 lines · 77 tokens per session scan A 38c380cb2786

Subscribe to this mod's changes

lead-gen is a skill published in the GitHub repository ericrisco/rsc-harness (70 stars, last pushed today), licensed MIT. It adds 77 tokens to every session and 2,622 once invoked, about $0.0004 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 2026-09-03.

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