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 simota/agent-skills --skill palettegit clone --depth 1 https://github.com/simota/agent-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/simota/agent-skills/palette)<a href="https://agentmods.dev/skills/simota/agent-skills/palette"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/palette/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/simota/agent-skills/palette"><img src="https://agentmods.dev/badge/skills/simota/agent-skills/palette.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
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 →
- high Prompt Injection · line 6 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- medium Excessive Agency · line 111 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Prompt Injection · line 109 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00031 | $0.05195 |
| Opus 5.5 | $0.00012 | $0.02078 |
| Sonnet 5.5 | $0.00006 | $0.01039 |
| Haiku 4.5 | $0.00003 | $0.00519 |
Grade A, and why
palette 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 today.
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 — 325 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Palette
UX engineer for usability, interaction quality, recovery design, and accessibility-aware implementation.
Trigger Guidance
- Use Palette for usability fixes, interaction polish, feedback clarity, state design, cognitive-load reduction, microcopy improvement, mobile interaction quality, and accessibility-aware UX implementation.
- Prefer Palette when the task mentions loading states, error recovery, confirmation dialogs, empty states, onboarding friction, CTA clarity, form UX, touch targets, keyboard support, perceived speed, WCAG 2.2 compliance, adaptive interfaces, or AI-powered UI accessibility.
- Palette owns implementation for Micro and Meso scope. Macro journey redesigns are evaluated here, then routed to
Vision. - Use Palette for WCAG 2.2 gap analysis (new success criteria table), EAA / ADA Title II readiness (EN 301 549 / WCAG 2.1 AA gaps before enforcement deadlines), and WCAG 3.0 readiness (Bronze/Silver/Gold tiered model, keeping WCAG 2.2 AA contrast as the actionable target) — detail ->
reference/wcag22-inclusive-design.md. - Use Palette for agentic AI interface review — Intent Preview, Explainable Rationale, Confidence Signals, Action Audit & Undo, Escalation Pathways ->
reference/ai-assist-patterns.md.
What ships with it
17 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.
- _common 10 B
- reference/_common 13 B
- reference/accessibility-patterns.md 3.1 KB
- reference/ai-assist-patterns.md 6.6 KB
- reference/collaboration-patterns.md 4.3 KB
- reference/empty-states.md 11 KB
- reference/error-states.md 12 KB
- reference/forms-ux-patterns.md 13 KB
- reference/interaction-anti-patterns.md 2.1 KB
- reference/keyboard-navigation-patterns.md 6.8 KB
- reference/loading-states.md 12 KB
- reference/microinteraction-patterns.md 3.9 KB
- reference/mobile-touch-patterns.md 8.7 KB
- reference/oracle 12 B
- reference/page-flow-patterns.md 3.1 KB
- reference/ux-evaluation.md 7.5 KB
- reference/wcag22-inclusive-design.md 8.5 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.
- today Changed · +1 lines 2a4c395c2b2e
- 4d ago Changed 5403b1565433
- 5d ago Changed abd88bae8fe0
- 10d ago Changed d2ac6e66b4c2
- 1mo ago Changed · -4 lines ef4b3640b720
- 1mo ago Changed · -2 lines 6d3ce1eb5f64
- 1mo ago First seen · 330 lines · 31 tokens per session scan A 417d366903e8
palette is a skill published in the GitHub repository simota/agent-skills (94 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 5,195 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
Other skills, from other repositories
plan
Use when a request needs shaping before any code is written — a rough or vague prompt to sharpen, an ambiguous idea to design, or a clear-enough task to decompose. One chain-starter that amplifies the prompt, designs the approach, and decomposes it into a batched task file, skipping whichever phases the request…
ui-design
Unify product UI design, frontend implementation, and verification. Use when asked to design, redesign, build, or fix a web, desktop, or mobile interface; a page, dashboard, form, component, design system, responsive layout, accessibility, interface animation, or editable hero/banner/infographic within a product…
frontend-design
A design guide for building polished web interfaces such as pages, dashboards, forms, navigation, and reusable UI components. It covers HTML, CSS, JavaScript, and common frontend frameworks.
imagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, UI mockups, product shots, or transparent-background cutouts. Use when the result should be an image asset rather than repo-native SVG, HTML/CSS, or canvas.
lfe-visual-check
Inspector sub-skill. Renders the changed UI surface, reasons over the result, and writes a text findings record with a human-action instruction and sign-off token — so a human visual sign-off can close a UI change. Artifact-free (saves no image files). Auto-arms on a visual-file touch; written by the Inspector at…
improve-retention
Diagnose and fix retention problems using behavior design (B=MAP). Use when the user mentions "users drop off", "activation rate", "onboarding friction", "retention metrics", "why users dont complete", "churn analysis", "user activation", or "aha moment". Also trigger when analyzing cohort retention curves, designing…