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 naveedharri/benai-skills --skill lead-generationgit clone --depth 1 https://github.com/naveedharri/benai-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/naveedharri/benai-skills/lead-generation)<a href="https://agentmods.dev/skills/naveedharri/benai-skills/lead-generation"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/lead-generation/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/naveedharri/benai-skills/lead-generation"><img src="https://agentmods.dev/badge/skills/naveedharri/benai-skills/lead-generation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Memory Poisoning · line 157 Skill injects content designed to persist in agent memory or context across interactions. Persistent injection can alter agent behavior long after the initial interaction.Fix: Do not allow untrusted input to persist in agent memory or context. Validate all content before storing and implement memory isolation between sessions.
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 | $0.00209 | $0.03545 |
| Opus 5 | $0.00105 | $0.01773 |
| Sonnet 5 | $0.00042 | $0.00709 |
| Haiku 4.5 | $0.00021 | $0.00354 |
Grade A, and why
lead-generation 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 5d 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 — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lead Generation
Turn an Ideal Customer Profile into a clean, qualified, enriched, contactable lead list. This skill is the front of the outbound machine: it decides where the right prospects live, pulls them, proves each one actually fits, finds and verifies their contact details, researches them deeply enough to personalize later, and hands a finished list to outreach.
The whole point is that a lead list is only as good as the worst decision in it. A great scraper pointed at the wrong source, or a clean list nobody verified, both waste the campaign. So this skill is opinionated about sequence: resolve the ICP, route to the source that actually holds that ICP, confirm the tools work before spending money, then source → qualify → enrich → research → deliver.
The flow
0. Resolve the ICP who, offer, where they live, how many, seniority, criteria
1. Route to the source Maps vs Sales Nav/LinkedIn vs prospecting DB vs niche -> references/source-routing.md
2. Preflight confirm the chosen source + enrichment tools are connected -> references/connectors.md
3. Source keyword parse, test batch, pass-rate, volume, full pull -> references/volume-and-batching.md
4. Qualify parallel lead-qualifier subagents, 10 leads each
5. Enrich + verify find + verify email and phone, only verified move on -> references/enrichment.md
6. Research parallel lead-researcher subagents, 5 each, depth by source
7. Deliver CSV always, Google Sheet if gws is available
Read the referenced file when you reach that phase. The SKILL body is the map; the references hold the exact actor IDs, schemas, recovery patterns, and math.
Two operating modes
This skill runs both inside the BenAI Sales OS vault and standalone for any client. Detect which at the start and behave accordingly.
- Sales OS / vault mode. A
Context/config.md(andContext/icp.md,offer.md) exists in or above the working directory, or the user is clearly working inside the Sales OS. Read those docs as ground truth instead of interviewing. This skill is Hybrid: it delivers a list (action) AND updates what the OS knows (brain). So it writes a campaign record underLead-Gen/campaigns/<name>/and logs every file it touches toDaily/logs/YYYY-MM-DD.md. Wikilink every entity. Never use em dashes. - Standalone / client mode. No Sales OS context present. Interview the user for the same fields (Phase 0), deliver the list plus a short run summary, and skip the vault logging. This is the default for a fresh client install. The master-guide onboarder, when present, will have written the client's own
Context/docs; if so, prefer reading them over interviewing.
What ships with it
4 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.
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.
- 5d ago First seen · 160 lines · 209 tokens per session scan A 005b46ddbb44
lead-generation is a skill published in the GitHub repository naveedharri/benai-skills (61 stars, last pushed 7d ago), licensed MIT. It adds 209 tokens to every session and 3,545 once invoked, about $0.0010 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 2026-09-05.
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