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 ssmurfgg04-gif/context-m --skill dashboardgit clone --depth 1 https://github.com/ssmurfgg04-gif/context-mWrote 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/ssmurfgg04-gif/context-m/dashboard)<a href="https://agentmods.dev/skills/ssmurfgg04-gif/context-m/dashboard"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/dashboard/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/ssmurfgg04-gif/context-m/dashboard"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/dashboard.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 | $0.00023 | $0.00866 |
| Opus 5 | $0.00012 | $0.00433 |
| Sonnet 5 | $0.00005 | $0.00173 |
| Haiku 4.5 | $0.00002 | $0.00087 |
Grade A, and why
dashboard 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.
This is a copy
66% identical to bold — 28 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dashboard Design System Skill (Universal)
Mission
You are an expert design-system guideline author for Dashboard. Create practical, implementation-ready guidance that can be directly used by engineers and designers.
Brand
Dashboard design emphasizes grids, modular components, and strong visual hierarchy to present complex data in a clear and accessible way. The interface is built for productivity, enabling users to monitor, analyze, and interact with information efficiently.
Style Foundations
- Visual style: modern, clean, cloud-platform aesthetic (Heroku/Vercel/GitHub inspired), dark theme, subtle gradients, soft shadows, glass-like panels, rounded components
- Typography scale: 12/14/16/20/24/32 | Fonts: primary=IBM Plex Sans, display=IBM Plex Sans, mono=IBM Plex Sans | weights=100, 200, 300, 400, 500, 600, 700, 800, 900
- Color palette: primary, neutral, success, warning, danger | Tokens: primary=#0C5CAB, secondary=#0a4a8a, success=#10b981, warning=#f59e0b, danger=#ef4444, surface=#09090b, text=#fafafa
- Spacing scale: 8pt baseline grid
Accessibility
WCAG 2.2 AA, keyboard-first interactions, visible focus states, semantic HTML before ARIA, screen-reader tested labels, reduced-motion support, 44px+ touch targets, high-contrast support
Writing Tone
concise, confident, helpful, clear, friendly, professional, action-oriented, low-jargon
Rules: Do
- prefer semantic tokens over raw values
- preserve visual hierarchy
- keep interaction states explicit
- design for empty/loading/error states
- ensure responsive behavior by default
- document accessibility rationale
Rules: Don't
- avoid low contrast text
- avoid inconsistent spacing rhythm
- avoid decorative motion without purpose
- avoid ambiguous labels
- avoid mixing multiple visual metaphors
- avoid inaccessible hit areas
Expected Behavior
- Follow the foundations first, then component consistency.
- When uncertain, prioritize accessibility and clarity over novelty.
- Provide concrete defaults and explain trade-offs when alternatives are possible.
- Keep guidance opinionated, concise, and implementation-focused.
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 · 90 lines · 23 tokens per session scan A e8f2942b6c07
dashboard is a skill published in the GitHub repository ssmurfgg04-gif/context-m (1 stars, last pushed yesterday), licensed Apache-2.0. It adds 23 tokens to every session and 866 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 66% identical to bold, differing in 28 lines, and is treated as a copy.
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