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 forsvn-labs/meta-skills --skill write-copygit clone --depth 1 https://github.com/forsvn-labs/meta-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/forsvn-labs/meta-skills/write-copy)<a href="https://agentmods.dev/skills/forsvn-labs/meta-skills/write-copy"><img src="https://agentmods.dev/badge/skills/forsvn-labs/meta-skills/write-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/forsvn-labs/meta-skills/write-copy"><img src="https://agentmods.dev/badge/skills/forsvn-labs/meta-skills/write-copy.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 | $0.00066 | $0.00571 |
| Opus 5 | $0.00033 | $0.00285 |
| Sonnet 5 | $0.00013 | $0.00114 |
| Haiku 4.5 | $0.00007 | $0.00057 |
Grade A, and why
write-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 10d 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Write product-marketing copy
Produce the finished copy first. Use the customer's brand as the brand of record.
Anchor the work
Infer:
- audience and real moment;
- product mechanism;
- credible outcome;
- proof;
- main objection;
- intended action;
- surface, voice, language, and constraints.
Ask at most one bundled question when different answers would change the copy materially. Otherwise label the assumption and continue.
Write from the product outward
Prefer concrete nouns, active verbs, observable outcomes, and product details a competitor could not claim unchanged. Put proof next to the claim it supports. Match the CTA to current trust.
Remove:
- “all-in-one,” “seamless,” “revolutionary,” and other category filler without evidence;
- empty setup, repeated summaries, generic AI cadence, and decorative jargon;
- fake quotes, invented numbers, vague attribution, or unsupported superlatives;
- forced urgency, engagement bait, false familiarity, and channel-inappropriate formatting.
Apply the surface:
- Landing page: audience, costly moment, promise, mechanism, proof, objections, and next step in a scan-friendly sequence.
- Ads: align hook, promise, proof, visual idea, and landing-page expectation.
- Lifecycle email: trigger from real behavior, give one useful next step, and define exit or suppression logic when planning a sequence.
- Outreach: earn relevance with an observed signal, state affiliation, make a small ask, and never pretend familiarity.
- Launch: explain what changed, who it serves, why now, how it works, and how to try it.
- Long form: make one defensible argument; use examples and evidence to advance it.
Deliver
Return paste-ready copy in the requested structure. Add variants only when each represents a different strategic bet, and label the bet rather than calling them A/B/C.
Then provide at most:
- the chosen audience, promise, and mechanism;
- two or three consequential decisions;
- factual claims that require verification;
- one recommended next action.
What ships with it
1 file 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.
- 10d ago First seen · 69 lines · 66 tokens per session scan A e51550bc09c5
write-copy is a skill published in the GitHub repository forsvn-labs/meta-skills (14 stars, last pushed 1mo ago), licensed MIT. It adds 66 tokens to every session and 571 once invoked, about $0.0003 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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