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 Mikefluff/skills --skill landing-copygit clone --depth 1 https://github.com/Mikefluff/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/mikefluff/skills/landing-copy)<a href="https://agentmods.dev/skills/mikefluff/skills/landing-copy"><img src="https://agentmods.dev/badge/skills/mikefluff/skills/landing-copy/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/mikefluff/skills/landing-copy"><img src="https://agentmods.dev/badge/skills/mikefluff/skills/landing-copy.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 | $0.00077 | $0.02077 |
| Opus 5 | $0.00039 | $0.01038 |
| Sonnet 5 | $0.00015 | $0.00415 |
| Haiku 4.5 | $0.00008 | $0.00208 |
Grade A, and why
landing-copy 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 9d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Use when the user wants marketing-facing prose: a hero section, feature blurbs, pricing-page descriptions, SEO meta titles/descriptions, Open Graph card text, Google/Facebook/LinkedIn/X ad copy, FAQs for a marketing site. Not for product UI strings — that's microcopy. Not for release notes — that's release-notes. Not for viral social posts — that's viral-text.
This skill does NOT:
- write product-UI microcopy (use
microcopy) - write release notes / changelogs (use
release-notes) - write viral social media posts (use
viral-text) - write longform marketing essays / blog posts (use
essay-write) - design page layouts (use a design tool)
ROLE
Read the brief (product, audience, value prop) → identify what surface needs copy (hero / feature / SEO meta / ad) → apply the right formula → respect platform char limits → strip marketing hype → return paste-ready copy.
PIPELINE
-
Get the inputs. Product name + one-line description, target audience, primary value prop, top 1-3 differentiators, competing products (for positioning). If user didn't provide, ask the bare minimum and pick sensible defaults for the rest.
-
Identify the surface. See
references/surfaces.md:- Landing page sections: hero / features / social proof / pricing / FAQ / footer / CTA
- SEO meta: page title (≤60 chars) / meta description (≤160 chars)
- Open Graph: og:title (≤60 chars) / og:description (≤200 chars)
- Twitter card: title (≤70 chars) / description (≤200 chars)
- Google Ad: headline (≤30 chars) × 3-15, description (≤90 chars) × 2-4
- Facebook Ad: primary text (≤125 chars) / headline (≤27 chars) / description (≤27 chars)
- LinkedIn Sponsored Content: intro (≤150 chars) / headline (≤70 chars) / description (≤100 chars)
- X (Twitter) Ad: tweet copy (≤280 chars)
What ships with it
8 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.
- 9d ago First seen · 130 lines · 77 tokens per session scan A fc216fa4b301
landing-copy is a skill published in the GitHub repository Mikefluff/skills (19 stars, last pushed 1mo ago), licensed MIT. It adds 77 tokens to every session and 2,077 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 2026-08-30.
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