Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/robroyhobbs/marketing-skillsnpx agentmods add skills/robroyhobbs/marketing-skills/lead-magnetWrote 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/robroyhobbs/marketing-skills/lead-magnet)<a href="https://agentmods.dev/skills/robroyhobbs/marketing-skills/lead-magnet"><img src="https://agentmods.dev/badge/skills/robroyhobbs/marketing-skills/lead-magnet/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/robroyhobbs/marketing-skills/lead-magnet"><img src="https://agentmods.dev/badge/skills/robroyhobbs/marketing-skills/lead-magnet.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 | $0.00251 | $0.09761 |
| Opus 5.5 | $0.00100 | $0.03904 |
| Sonnet 5.5 | $0.00050 | $0.01952 |
| Haiku 4.5 | $0.00025 | $0.00976 |
Grade A, and why
lead-magnet 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 2mo 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 — 1,143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lead Magnet Ideation + Build
The best lead magnets aren't about what you want to give away. They're about what your prospect desperately wants to consume -- and how that consumption naturally leads them toward your paid offer.
This skill generates lead magnet concepts that actually convert. And then it builds them.
Read ./brand/ per _system/brand-memory.md
Follow all output formatting rules from _system/output-format.md
Brand Memory Integration
This skill reads brand context to ensure every lead magnet concept aligns with the user's positioning, speaks to their actual audience, and sounds like their brand. It also checks for existing campaigns and lead magnets to avoid duplication.
Reads: voice-profile.md, positioning.md, audience.md (all optional)
On invocation, check for ./brand/ and load available context:
-
Load
voice-profile.md(if exists):- Match the brand's tone and vocabulary in all lead magnet copy
- Apply voice DNA to titles, hooks, and body content
- A "direct, proof-heavy" voice writes different hooks than a "warm, story-driven" voice
- Show: "Your voice is [tone summary]. Lead magnet copy will match that register."
-
Load
positioning.md(if exists):- Use the chosen positioning angle to inform the lead magnet's frame
- The positioning determines how the lead magnet bridges to the paid offer
- Use differentiation points to ensure the lead magnet is unique vs competitors
- Show: "Your positioning angle is '[angle]'. Concepts will build on that frame."
-
Load
audience.md(if exists):- Know who this lead magnet is for: awareness level, sophistication, pain points
- Match format complexity to audience preference (video people vs readers vs doers)
- Use audience language in hooks and titles
- Show: "Writing for [audience summary]. Awareness: [level]."
-
Check for existing lead magnets (if
./campaigns/*/brief.mdor./brand/assets.mdreferences a lead magnet):- If a lead magnet already exists, note it and ask whether to create a new one or iterate
- Show: "Found existing lead magnet: '[name]'. Want to create a new one or improve this?"
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.
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.
- 2mo ago First seen · 1,143 lines · 251 tokens per session scan A 15dda86a443b
lead-magnet is a skill published in the GitHub repository robroyhobbs/marketing-skills (5 stars, last pushed 7mo ago), licensed MIT. It adds 251 tokens to every session and 9,761 once invoked, about $0.0010 per session on Opus 5.5. 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.
lead-magnet compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| lead-magnetrobroyhobbs/marketing-skills | Skill | 5 | 7mo ago | MIT | A | 251 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |