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 landing-journalgit 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/landing-journal)<a href="https://agentmods.dev/skills/monthu56/landforge/landing-journal"><img src="https://agentmods.dev/badge/skills/monthu56/landforge/landing-journal/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/monthu56/landforge/landing-journal"><img src="https://agentmods.dev/badge/skills/monthu56/landforge/landing-journal.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 | $0.00111 | $0.00726 |
| Opus 5 | $0.00056 | $0.00363 |
| Sonnet 5 | $0.00022 | $0.00145 |
| Haiku 4.5 | $0.00011 | $0.00073 |
Grade A, and why
landing-journal 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 — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
landing-journal — память об изменениях (аудит)
Сквозной журнал по всем лендингам и экспериментам. Отвечает на вопросы аудита: что менялось,
когда, кто, почему и с каким результатом. Это фундамент для landing-experiment и будущих
landing-ads / landing-stats — они дописывают сюда свои события.
Где лежат данные
experiments/journal.jsonl— источник правды, append-only (по JSON-строке на событие).experiments/journal.md— та же лента, читаемая людьми (автогенерируется, не редактировать).experiments/<experiment-id>/— карточки конкретных экспериментов (ведётlanding-experiment).- git — нижний слой аудита: каждое событие фиксируется коммитом, его хеш попадает в запись.
Записать событие
python3 .claude/skills/landing-journal/scripts/log_event.py \
--event <тип> --summary "что произошло" \
[--landing <slug>] [--experiment <id>] [--actor <кто>] [--details "<текст|json>"]
Типы событий: landing_created, variant_added, experiment_designed, launched, paused,
stats_collected, decided, rolled_out, rolled_back, changed, note.
Правило: каждое значимое действие над лендингом/экспериментом сопровождается записью в журнал — желательно тем же коммитом, что и само изменение (чтобы хеш в записи указывал на него).
Посмотреть историю
python3 .claude/skills/landing-journal/scripts/show_history.py \
[--landing <slug>] [--experiment <id>] [--event <тип>] [--limit N]
Как это используют другие скиллы
new-landing→landing_createdпосле создания лендинга.landing-experiment→experiment_designed/variant_added/launched/decided/rolled_out.landing-stats(будущее) →stats_collectedс цифрами по вариантам.landing-ads(будущее) →changed/noteо подготовленных кампаниях/UTM.
Принцип
«Ничего не теряется»: незавершённые эксперименты остаются в журнале с последним статусом и
следующим шагом. История неизменяема (append-only + git) — записи не переписываем, при ошибке
добавляем корректирующую запись (note).
What ships with it
2 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 · 52 lines · 111 tokens per session scan A e73dc31de27e
landing-journal is a skill published in the GitHub repository monthu56/landforge (10 stars, last pushed 3mo ago), licensed MIT. It adds 111 tokens to every session and 726 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…
ads-creative-development
How to produce ad creative that converts at performance scale. Hook patterns, format selection, video pacing, variation systems, sequential testing methodology, fatigue detection, brand-voice alignment without conversion dilution, and platform-specific creative norms. Triggers on ad creative, ad design, hook patterns…
ads-performance-analytics
How to read paid media dashboards without fooling yourself. Attribution models, platform reporting quirks, multi-platform reconciliation, ROAS vs LTV horizon traps, statistical noise in performance metrics, incrementality testing, and the failure modes that produce expensive lessons. Triggers on read paid media…
paid-media-strategy
A discipline for running paid media that does not light money on fire. Hypothesis writing for paid spend, channel selection, budget allocation, audience targeting, bid strategy, campaign types, what NOT to spend on, attribution reality, and the failure modes that produce expensive lessons. Triggers on paid media…
ecommerce-full-pipeline
An e-commerce workflow assistant covering product discovery, 1688 product collection, listing on multiple platforms, promotional copy, and short-video creation. 1688 is a Chinese online wholesale marketplace.