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 NmadeleiDev/landingforge --skill landinggit clone --depth 1 https://github.com/NmadeleiDev/landingforgeWrote 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/nmadeleidev/landingforge/landing)<a href="https://agentmods.dev/skills/nmadeleidev/landingforge/landing"><img src="https://agentmods.dev/badge/skills/nmadeleidev/landingforge/landing.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 | $0.00129 | $0.01779 |
| Opus 5 | $0.00064 | $0.00890 |
| Sonnet 5 | $0.00026 | $0.00356 |
| Haiku 4.5 | $0.00013 | $0.00178 |
Grade A, and why
landing 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 7d 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Running an
lp-*agent on Codex. Codex has no parallel subagent tool, and this pipeline is sequential and gated anyway. Wherever this file says to spawn or run an agent inline, it means: read.codex/agents/<name>.mdand follow its full body verbatim as that phase's operating instructions, one phase at a time.
LandingForge: Landing-Page Engine (Router)
Invocation: landing $1 $2 where $1 is a command and $2 is a URL, brief, or page slug.
Path resolution (read once). Every
references/…and.codex/agents/…path in any LandingForge skill is relative to the plugin root — the directory containingplugin.json({{LANDINGFORGE_ROOT}}) — NOT to the skill's own folder. The knowledge base lives at the plugin root on purpose: it is the one shared brain all skills and agents read. If a barereferences/scorecard.mddoes not resolve from the current directory, read{{LANDINGFORGE_ROOT}}/references/scorecard.md.
This is the router + shared-knowledge skill, not an orchestrator. It maps a
request to the right surface and points every skill and agent at the one shared
knowledge base in references/. The actual work lives in the per-surface skills
below; the build pipeline lives in landing-build.
What LandingForge is
AI ships the statistically-average landing page because it generates in one shot — no committed strategy, no committed visual point of view, no scoring. Average is forgettable. LandingForge instead manufactures a page to a spec and scores it in a loop, refusing to ship below a quality bar.
Every page is optimized and graded across four axes:
- Conversion to a single target action
- Organic SEO (on-page + structured data)
- AI-search / GEO (citation by ChatGPT / Perplexity / AI Overviews / Claude)
- Visual clarity and craft
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.
- 7d ago First seen · 90 lines · 129 tokens per session scan A e2d892ed1b78
landing is a skill published in the GitHub repository NmadeleiDev/landingforge (1 stars, last pushed 1mo ago), licensed MIT. It adds 129 tokens to every session and 1,779 once invoked, about $0.0006 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 2026-08-31.
Other skills, from other repositories
design-system
Design system and visual language for sales funnels. Provides color palettes, typography, spacing, component styles, and theming guidelines for a polished, premium look.
conversion-ux
Conversion-focused UX patterns for sales funnel pages. Apply these patterns to every page to maximize conversion rates. Covers layout, CTA placement, social proof, urgency, and friction reduction.
mobile-responsive
Mobile-first responsive design patterns for sales funnels. Ensures every page works flawlessly on all screen sizes with proper touch targets, readable typography, and fast load times.
top-design
Create award-winning, immersive web experiences at the level of Awwwards-featured agencies. Use when the user mentions "Awwwards quality", "make my site stunning", "scroll animations", "parallax storytelling", "cinematic web design", "portfolio site", or "brand experience". Also trigger when elevating a standard…
design-everyday-things
Apply foundational design principles: affordances, signifiers, constraints, feedback, and conceptual models. Use when the user mentions "why is this confusing", "affordance", "error prevention", "discoverability", "human-centered design", "mental model", "mapping", "seven stages of action", "users keep making…
sxo
Search Experience Optimization (SXO) — the bridge between SEO and UX/CRO. Audits the full journey from the SERP click to the on-page goal: SERP click-through factors (title/meta/rich results that win the click), then post-click experience signals that keep users and drive conversions — above-the-fold relevance and…