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 referodesign/refero_skill --skill refero-designgit clone --depth 1 https://github.com/referodesign/refero_skillWrote 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/referodesign/refero_skill/refero-design)<a href="https://agentmods.dev/skills/referodesign/refero_skill/refero-design"><img src="https://agentmods.dev/badge/skills/referodesign/refero_skill/refero-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/referodesign/refero_skill/refero-design"><img src="https://agentmods.dev/badge/skills/referodesign/refero_skill/refero-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 66 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00191 | $0.04454 |
| Opus 5 | $0.00096 | $0.02227 |
| Sonnet 5 | $0.00038 | $0.00891 |
| Haiku 4.5 | $0.00019 | $0.00445 |
Grade A, and why
refero-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.
Copies of this mod
1 near-identical copy found in the catalogue:
- refero-design — 95% identical, 33 lines differ
How it starts
The opening of the file, as written. The whole thing — 535 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Refero Design
Refero gives agents taste and product evidence. Use it before design work instead of relying on generic model knowledge.
Refero has three research layers:
- Styles - visual direction and taste.
- Screens - concrete UI patterns and product-screen decisions.
- Flows - multi-step journey logic.
Best results come from combining layers: visual direction from styles, concrete UI patterns from screens, and sequencing from flows when the task has multiple steps.
Non-Negotiables
- Research before design work. Every design must be grounded in references before implementation. Do not rely on the model's generic design taste.
- Use styles first for visual work when Refero MCP tools are available. If tools are unavailable, use bundled craft references and keep the same reference-lock workflow.
- Do not copy one reference. Study several strong references and synthesize a new direction for the user's product.
- Do not average references into a safe middle. When references conflict, choose one dominant direction and preserve its sharp traits. Secondary references may add narrow details only.
- Do not change token meanings. If a reference says a color, font, radius, shadow, gradient, or component is for a specific role, use it only for that role or omit it.
- Respect imagery guidance. If a style depends on photography, illustration, product shots, or graphics, preserve the media role. Use real/generated/stock assets when available; otherwise create an intentional placeholder with art direction. Do not fake complex imagery with weak CSS, text, or decorative boxes.
- Do not use generic frontend/product design skills as a parallel design authority when this skill is available. Refero is the design methodology; generic design skills tend to pull work back toward generic AI design.
- Research output must be specific. Name the references, describe concrete choices, and explain what will be adapted.
- No design from vibe memory. Every major visual, layout, content, or interaction decision must trace to Refero research, the user's brief, or a craft reference.
- Synthesize before implementation. Turn research into a concept, token direction, and concrete decision ledger before drawing or coding.
- A brief is not a build target. Before implementation, lock either a user-provided visual source, an existing product/design-system target, a selected generated mockup, or an explicit reference-locked direction approved for direct build.
- Use image generation only when it changes the outcome. Image generation can be slow and may not exist in every coding environment. Use it for visual exploration, mockups, imagery, illustrations, textures, and difficult assets; skip it for small fixes, obvious production edits, or code-native UI work.
- Validate after building visual work. Compare the rendered implementation against the locked target/reference before handoff. Fix actionable design drift instead of treating research as sufficient.
What ships with it
11 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.
- agents/openai.yaml 192 B
- references/anti-ai-slop.md 13 KB
- references/color.md 14 KB
- references/copywriting.md 6.1 KB
- references/craft-details.md 12 KB
- references/example-workflow.md 10 KB
- references/icons.md 4.8 KB
- references/mcp-tools.md 8.7 KB
- references/motion.md 13 KB
- references/typography.md 18 KB
- references/visual-workflow.md 4.7 KB
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 · 535 lines · 191 tokens per session scan A 4a4a7a0b72a2
refero-design is a skill published in the GitHub repository referodesign/refero_skill (254 stars, last pushed 5d ago), licensed MIT. It adds 191 tokens to every session and 4,454 once invoked, about $0.0010 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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