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 monthu56/landforge --skill init-landing-systemgit clone --depth 1 https://github.com/monthu56/landforgeWrote 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/monthu56/landforge/init-landing-system)<a href="https://agentmods.dev/skills/monthu56/landforge/init-landing-system"><img src="https://agentmods.dev/badge/skills/monthu56/landforge/init-landing-system.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 | $0.00113 | $0.01085 |
| Opus 5 | $0.00056 | $0.00543 |
| Sonnet 5 | $0.00023 | $0.00217 |
| Haiku 4.5 | $0.00011 | $0.00109 |
Grade A, and why
init-landing-system 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
init-landing-system — развёртывание системы в проекте
Ставит всю систему генерации лендингов в существующий проект из снимка (reference/system/) +
шаблонов (reference/templates/), подставляя инфраструктурные значения целевого проекта.
Безопасно: существующие файлы по умолчанию не перезаписываются.
Когда и где
- Запускать в целевом проекте (куда ставим систему), не в эталоне-источнике.
- Чтобы skill был доступен в любом проекте — установить его в user-level:
bash scripts/install_user.sh(копирует skill со снимком в~/.claude/skills/). После этого/init-landing-systemдоступен везде. - Снимок системы обновляется из эталона скриптом
scripts/sync_templates.sh(запускать в эталонном репо после изменений в скиллах/CI/инфре, затем переустановить в user-level).
Workflow
1. Проверки
- Целевой проект — git-репозиторий (если нет — предложи
git init). - Это не сам эталон-источник (init_project.py предупредит, если увидит себя в целевом).
2. Собрать параметры
Нужно (если не заданы — спроси через AskUserQuestion):
- brand — название проекта/бренда;
- prod-domain — канонический прод-домен;
- staging-domain — staging-домен;
- slug — базовый slug (из него имена контейнеров
<slug>-landing/new-<slug>-landingи каталоги/root/<container>; можно переопределить--prod-container/--staging-dirи т.д.).
3. Предпросмотр (dry-run)
python3 .claude/skills/init-landing-system/scripts/init_project.py \
--brand "<Brand>" --prod-domain <prod> --staging-domain <staging> --slug <slug> \
--target <path-to-project> --dry-run
Покажет, что будет записано и что уже существует (конфликты).
4. Развернуть
Убери --dry-run. Существующие файлы пропускаются (перечислятся). Чтобы перезаписать
конкретные — повтори с --force (осторожно: затрёт правки целевого проекта).
5. Что получит проект
.claude/skills/ (4 генераторных скилла), .github/workflows/ (deploy + cleanup-preview под
домены проекта), deploy/nginx.{prod,staging}.conf, docs/adr/ (README + template),
experiments/README.md, .gitignore, стартовые README.md и CLAUDE.md.
What ships with it
32 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.
- reference/placeholders.md 1.5 KB
- reference/system/deploy/nginx.prod.conf 862 B
- reference/system/deploy/nginx.staging.conf 1.1 KB
- reference/system/docs-adr/template.md 1.0 KB
- reference/system/experiments/README.md 1.4 KB
- reference/system/github-workflows/cleanup-preview.yml 1.8 KB
- reference/system/github-workflows/deploy.yml 7.3 KB
- reference/system/gitignore 158 B
- reference/system/skills/landing-ads/reference/ad-formats.md 2.7 KB
- reference/system/skills/landing-ads/reference/utm-scheme.md 2.2 KB
- reference/system/skills/landing-ads/scripts/build_utm.py 2.6 KB runs code
- reference/system/skills/landing-ads/scripts/check_ads.py 3.6 KB runs code
- reference/system/skills/landing-ads/SKILL.md 5.5 KB
- reference/system/skills/landing-experiment/reference/ab-implementation.md 4.4 KB
- reference/system/skills/landing-experiment/reference/experiment-design.md 2.8 KB
- reference/system/skills/landing-experiment/scripts/check_experiment.py 4.9 KB runs code
- reference/system/skills/landing-experiment/SKILL.md 6.0 KB
- reference/system/skills/landing-journal/scripts/log_event.py 4.5 KB runs code
- reference/system/skills/landing-journal/scripts/show_history.py 2.6 KB runs code
- reference/system/skills/landing-journal/SKILL.md 3.7 KB
- reference/system/skills/new-landing/reference/brief-prompt.md 6.4 KB
- reference/system/skills/new-landing/reference/brief-schema.md 4.3 KB
- reference/system/skills/new-landing/reference/landing-contract.md 4.5 KB
- reference/system/skills/new-landing/reference/landing-skeleton.html 7.7 KB
- reference/system/skills/new-landing/scripts/check_landing.py 5.4 KB runs code
- reference/system/skills/new-landing/SKILL.md 6.7 KB
- reference/templates/adr-README.md 1.3 KB
- reference/templates/CLAUDE.md.tmpl 2.6 KB
- reference/templates/README.md.tmpl 2.6 KB
- scripts/init_project.py 6.3 KB runs code
- scripts/install_user.sh 1.1 KB runs code
- scripts/sync_templates.sh 1.4 KB runs code
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 · 70 lines · 0 tokens per session scan A 19d2cc0c73b9
init-landing-system is a skill published in the GitHub repository monthu56/landforge (10 stars, last pushed 3mo ago), licensed MIT. It adds 113 tokens to every session and 1,085 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
Landing Page Copy Improver
Rewrites landing page copy to be more compelling, benefit-focused, and conversion-optimized.
landing-page-scaffold
Generate a self-contained landing page HTML prototype with five standard sections (Hero → Social Proof → Features → Pricing → CTA), outputting a single inlined HTML file ready to preview in any browser. Triggered when the user asks to build, generate, or scaffold a landing page, wireframe, or marketing page prototype…
devops-engineer
Creates Dockerfiles, configures CI/CD pipelines, writes Kubernetes manifests, and generates Terraform/Pulumi infrastructure templates. Handles deployment automation, GitOps configuration, incident response runbooks, and internal developer platform tooling. Use when setting up CI/CD pipelines, containerizing…
webhook-management
Configure and validate CCAM webhook targets across supported chat, incident, automation, and generic providers. Use when listing provider requirements, creating or updating a target, scoping it to alert rules, sending a test notification, reviewing delivery history, or deleting a target.
Supply Chain Security
Software supply chain security — SBOM generation and analysis, dependency confusion and typosquatting detection, malicious package indicators, CI/CD pipeline hardening, and artifact provenance/signing (SLSA, Sigstore).
review-tooling
Detect what dev tooling infrastructure a project has and flag gaps across linters, formatters, pre-commit hooks, test runners, and CI/CD pipelines. Returns structured findings without applying changes. Use when the user asks to "review tooling", "check project tooling", "what tooling is missing", "review dev…