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 PHY041/claude-agent-skills --skill lead-generationgit clone --depth 1 https://github.com/PHY041/claude-agent-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/phy041/claude-agent-skills/lead-generation)<a href="https://agentmods.dev/skills/phy041/claude-agent-skills/lead-generation"><img src="https://agentmods.dev/badge/skills/phy041/claude-agent-skills/lead-generation.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 | $0.00063 | $0.01167 |
| Opus 5 | $0.00032 | $0.00583 |
| Sonnet 5 | $0.00013 | $0.00233 |
| Haiku 4.5 | $0.00006 | $0.00117 |
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 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 151 lines · 63 tokens per session scan A 7d0bd40cb909
lead-generation is a skill published in the GitHub repository PHY041/claude-agent-skills (18 stars, last pushed 6mo ago), with no licence file. It adds 63 tokens to every session and 1,167 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 2026-08-30.
Other skills, from other repositories
social-lead-gen
Lead generation from social media — find high-intent buyers in live Twitter, Instagram, and Reddit conversations. Auto-researches your product, generates targeted search queries, and discovers people actively looking for solutions you offer. Social selling and prospecting powered by billions of indexed posts.
lead-gen-scan
One-shot buying-intent lead scan across Reddit, Twitter, Instagram, and TikTok. Finds fresh posts from people actively asking for what your product does or frustrated with competitors, qualifies them, and reports prioritized leads for human engagement. Powered by billions of indexed posts via Xpoz MCP.
reddit-leads
Discover B2B leads from Reddit using AI-powered lead scoring via reddapi.dev Leads API. Finds high-intent signals, scores them 0-100, and classifies by lead type (painpoint, solutionrequest, complaint, featurerequest, comparison). Perfect for competitor poaching, pain point discovery, and sales prospecting.
zernio
Schedule posts, manage inbox, broadcasts, sequences, and automations across 14 platforms from the CLI.
xpoz-best-practices
Reference guide for using Xpoz effectively via MCP. Covers query syntax (boolean operators, date filtering), response modes (fast/paging/CSV), field selection, tracking setup, and all platform tool references (Twitter, Instagram, Reddit, TikTok). Load for ANY Xpoz interaction, not just explicit best-practices…
xpoz-social-tracking
Set up and manage continuous social media tracking across Twitter, Instagram, Reddit, and TikTok. Add, remove, and view tracked keywords, users, subreddits, and hashtags. Use when asked to track mentions, monitor brands, set up tracking, view tracked items, or stop tracking.