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 tushaarmehtaa/tushar-skills --skill landing-copygit clone --depth 1 https://github.com/tushaarmehtaa/tushar-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/tushaarmehtaa/tushar-skills/landing-copy)<a href="https://agentmods.dev/skills/tushaarmehtaa/tushar-skills/landing-copy"><img src="https://agentmods.dev/badge/skills/tushaarmehtaa/tushar-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/tushaarmehtaa/tushar-skills/landing-copy"><img src="https://agentmods.dev/badge/skills/tushaarmehtaa/tushar-skills/landing-copy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00040 | $0.01316 |
| Opus 5 | $0.00020 | $0.00658 |
| Sonnet 5 | $0.00008 | $0.00263 |
| Haiku 4.5 | $0.00004 | $0.00132 |
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 12d 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Landing copy
Build the page around a defensible buying claim and the evidence needed to evaluate it. Preserve an effective brand voice; do not force every product into terse, casual, benefit-first startup copy.
Choose the mode and page job
- Positioning — find the claim, audience, alternatives, mechanism, and proof before page copy.
- Audit — diagnose existing messaging and propose prioritized repairs.
- Targeted rewrite — improve a hero, proof section, pricing explanation, objection, or CTA in context.
- Generate — produce a complete page message architecture and copy deck.
- Experiment — create variants that test one meaningful messaging hypothesis.
Identify the page job: category introduction, product selection, campaign response, feature evaluation, waitlist signup, pricing decision, or another explicit action. Determine traffic intent, buyer awareness, purchase risk, category maturity, and available proof from the brief, repository, customer language, analytics, or supplied research.
Ask only for missing facts that would change the claim, audience, offer, or legal truth. When facts remain unavailable, mark them as content requirements rather than inventing them.
Find the defensible claim
Read claim-first writing before positioning, generate mode, or any rewrite that changes the core proposition.
Document:
- buyer and situation;
- failure, cost, or unmet goal;
- product capability and mechanism;
- close alternatives and meaningful difference;
- evidence, constraint, demonstration, or costly promise;
- exact customer or domain language;
- limits the page must not imply away.
Generate several plain claim shapes, then choose or recommend the one best supported by importance, specificity, differentiation, and proof. Confirm with the user only when choosing among materially different business promises; otherwise proceed with stated assumptions.
Audit the decision path
Evaluate the page as a sequence rather than scoring isolated ingredients:
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.
- 12d ago First seen · 124 lines · 40 tokens per session scan A 23d171d39c85
landing-copy is a skill published in the GitHub repository tushaarmehtaa/tushar-skills (11 stars, last pushed 2d ago), licensed MIT. It adds 40 tokens to every session and 1,316 once invoked, about $0.0002 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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