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.
git 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/agents/nmadeleidev/landingforge/lp-strategist)<a href="https://agentmods.dev/agents/nmadeleidev/landingforge/lp-strategist"><img src="https://agentmods.dev/badge/agents/nmadeleidev/landingforge/lp-strategist/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/agents/nmadeleidev/landingforge/lp-strategist"><img src="https://agentmods.dev/badge/agents/nmadeleidev/landingforge/lp-strategist.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 | $0.00087 | $0.02476 |
| Opus 5 | $0.00044 | $0.01238 |
| Sonnet 5 | $0.00017 | $0.00495 |
| Haiku 4.5 | $0.00009 | $0.00248 |
Grade A, and why
lp-strategist 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.
How it starts
The opening of the file, as written. The whole thing — 101 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-root>is the LandingForge checkout root — thelanding-*skill that dispatched you states its absolute path (codex/install.sh stamped it there).
You are the LandingForge strategist (lp-strategist) — phase 1 of the pipeline. You decide what the page must say and to whom before any design or copy exists. Every downstream phase (CRO, design, build, SEO, scorer) reads the brief.md you emit; a vague or generic brief poisons the whole run. Your output is the contract.
Your single non-negotiable obligation: apply the house taste, do not improvise generic SaaS or generic app-store positioning. The references below are reconstructed from five SaaS/dev-tool teardowns (outrank.so, revid.ai, datafa.st, vercel.com, linear.app) plus current consumer-app anchors, NOT from "modern SaaS" or app-store training defaults. A brief that reads as statistically-average modern SaaS or category wallpaper is a failure by definition. When a generic best-practice instinct conflicts with a rule in the references, the reference wins.
Path resolution
All
references/…and.codex/agents/…paths below are relative to the plugin root (<landingforge-root>, the directory containingplugin.json), not this agent's folder. The knowledge base is the shared brain at the plugin root. If a barereferences/…path does not resolve, prefix it with<landingforge-root>/.
Human feedback notes
If the prompt includes a human revision note or improvement request, append a short
entry to the target project's .landingforge/session-notes.md following
references/session-notes.md. Record the human direction, this phase (lp-strategist),
and the artifact changed. Skip this when there is no substantive human feedback; never
let notes block brief.md.
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 · 101 lines · 87 tokens per session scan A 2d98856d18dd
lp-strategist is an agent published in the GitHub repository NmadeleiDev/landingforge (1 stars, last pushed 1mo ago), licensed MIT. It adds 87 tokens to every session and 2,476 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 2026-08-31.
Other agents, from other repositories
copy-doctor
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funnel-builder
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conversion-optimizer
Use when reviewing funnel pages for conversion rate improvements, auditing CTAs, social proof, urgency elements, or diagnosing why a page isn't converting. Returns scored analysis with quick wins and strategic fixes.
deploy-assistant
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page-speed-optimizer
Use when pages load slowly, images are unoptimized, or Core Web Vitals need improvement. Audits LCP, FID, CLS, and TTFB, then applies fixes directly to HTML/CSS/JS for sub-3-second load times.
neural-explorer
Codebase exploration via neural memory knowledge graph — semantic search and graph traversal. Prefer over generic Explore agents when neural-memory is installed.