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 dembrandt/dembrandt-skills --skill status-colors-and-errorsgit clone --depth 1 https://github.com/dembrandt/dembrandt-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/dembrandt/dembrandt-skills/status-colors-and-errors)<a href="https://agentmods.dev/skills/dembrandt/dembrandt-skills/status-colors-and-errors"><img src="https://agentmods.dev/badge/skills/dembrandt/dembrandt-skills/status-colors-and-errors/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/dembrandt/dembrandt-skills/status-colors-and-errors"><img src="https://agentmods.dev/badge/skills/dembrandt/dembrandt-skills/status-colors-and-errors.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 Excessive Agency · line 147 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.
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 | $0.00073 | $0.01558 |
| Opus 5 | $0.00036 | $0.00779 |
| Sonnet 5 | $0.00015 | $0.00312 |
| Haiku 4.5 | $0.00007 | $0.00156 |
Grade A, and why
status-colors-and-errors 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 — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Status Colours and Error Design
Keep the Colour Set Small
Every status colour added to a system is a cognitive burden on the user. They must learn what each colour means, remember it, and interpret it correctly under stress — which is exactly when errors occur.
The minimal set that covers almost everything:
| Colour | Semantic meaning | Always means |
|---|---|---|
| Red | Error / failure / destructive | Something went wrong, or this action cannot be undone |
| Orange / Amber | Warning | Something needs attention before proceeding |
| Green | Success / positive | Action completed, state is healthy |
| Blue | Info / neutral status | Informational, no action required |
Rule: each colour maps to exactly one meaning across the entire product. If orange means "warning" in one component and "pending" in another, the system breaks down.
When in doubt, cut the colour — neutral grey communicates status without semantic weight, and neutral is better than a misused semantic colour.
Orange Is Always a Warning
Orange (amber) carries a specific signal: pay attention, something may go wrong. Do not use it for:
- Neutral states (use grey)
- Progress or pending (use blue or a spinner)
- Informational content (use blue)
- Branding or decorative purposes inside status indicators
If orange appears in the UI, the user should immediately know it requires their attention.
Errors Should Be Recoverable
The worst error is one the user cannot recover from. Design every error state with a path forward.
Error message anatomy
Every error should answer three questions:
- What went wrong? — plain language, no error codes
- Why did it happen? — if useful and known
- What should the user do next? — specific, actionable
❌ "Error 500"
❌ "Something went wrong"
✓ "We couldn't save your changes. Check your connection and try again."
✓ "This email is already in use. Sign in instead, or use a different email."
Recovery actions
- Always provide a retry button for transient failures (network errors, timeouts)
- For validation errors, point directly to the problematic field
- For destructive actions that failed, reassure the user nothing was lost
- For session expiry, redirect to login and return the user to where they were
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 · 148 lines · 73 tokens per session scan A 9f9aad86733c
status-colors-and-errors is a skill published in the GitHub repository dembrandt/dembrandt-skills (54 stars, last pushed 2d ago), licensed MIT. It adds 73 tokens to every session and 1,558 once invoked, about $0.0004 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.
Other skills, from other repositories
indian-gov-web-ui
A set of design and accessibility rules for Indian government websites, portals, and administrative panels, including required standards such as GIGW and WCAG.
ux4g-design-system
Use when building or reviewing UI with UX4G — India's official government design system (ux4g.gov.in, cdn.ux4g.gov.in, ux4g-web-components). Covers the v3.0.18 token API, the 52 components, install paths for HTML/React/Angular/Flutter, and the interop hazards. Triggers include "UX4G", "ux4g-web-components"…
ui-ux-laws
Priority-ordered rulebook of core UX/UI laws, cognitive-psychology principles, Nielsen's usability heuristics, and accessibility requirements that Claude must actively apply (not just cite) whenever it designs, builds, redesigns, reviews, or critiques any user interface — websites, web/mobile apps, dashboards, forms…
accessibility
Audit and improve web accessibility following WCAG 2.2 guidelines. Use when asked to "improve accessibility", "a11y audit", "WCAG compliance", "screen reader support", "keyboard navigation", or "make accessible".
design-dna
Extract, define, and apply design DNA across three dimensions: design system (tokens), design style (qualitative feel), and visual effects (Canvas, WebGL, 3D, particles, shaders, scroll effects, etc.). Use this skill when: (1) a user wants to see the full 3-dimension design structure/schema, (2) a user provides…
extract-design-system
Extract design primitives from a public website and generate starter token files for your project.