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 memi-design/design-skills --skill content-designgit clone --depth 1 https://github.com/memi-design/design-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/memi-design/design-skills/content-design)<a href="https://agentmods.dev/skills/memi-design/design-skills/content-design"><img src="https://agentmods.dev/badge/skills/memi-design/design-skills/content-design/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/memi-design/design-skills/content-design"><img src="https://agentmods.dev/badge/skills/memi-design/design-skills/content-design.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 | $0.00045 | $0.00559 |
| Opus 5 | $0.00023 | $0.00280 |
| Sonnet 5 | $0.00009 | $0.00112 |
| Haiku 4.5 | $0.00005 | $0.00056 |
Grade A, and why
content-design 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 — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Design
Treat language as part of the interaction model. Do not polish isolated strings without understanding user intent, system state, consequence, and next action.
Inputs
Gather the user goal, audience knowledge, product terminology, voice principles, interface states, legal constraints, localization needs, character constraints, and evidence from research, support, search, or analytics.
Workflow
- Define the communication job. State what the user needs to understand or do at this moment and what the system knows.
- Establish terminology. Create one preferred term for each concept, record synonyms and prohibited ambiguity, and align labels across navigation, UI, help, notifications, and support.
- Write in action order. Lead with the information or action needed now. Use specific verbs and concrete objects. Remove throat-clearing and internal system language.
- Match copy to state. Distinguish initial, loading, empty, partial, success, warning, error, blocked, expired, and offline states.
- Design actions and consequences. Button labels should predict the immediate result. Pair destructive or high-trust actions with consequence, scope, and reversibility.
- Write recovery. Explain what happened, what remains safe, what the user can do next, and where responsibility lies. Do not blame the user or expose raw implementation errors.
- Handle trust. Explain permissions, automation, data use, billing, and irreversible changes before commitment. Avoid coercive urgency or disguised consent.
- Prepare localization. Avoid embedded word order, idioms, concatenated fragments, unexplained abbreviations, and layouts that fail under text expansion or RTL.
- Test comprehension. Use cloze tests, first-click tasks, interviews, support review, and production behavior where consequence warrants it.
Output contract
Deliver:
- communication objective and audience context;
- terminology decisions;
- state-by-state copy table;
- action and confirmation language;
- error and recovery patterns;
- localization and accessibility notes;
- unresolved legal or policy dependencies.
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.
- 10d ago First seen · 43 lines · 45 tokens per session scan A c12d8bc46258
content-design is a skill published in the GitHub repository memi-design/design-skills (7 stars, last pushed 1mo ago), licensed MIT. It adds 45 tokens to every session and 559 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 2026-08-31.
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