Agent skill · Audited from source
dashboard
skill · bergside/awesome-design-skillsMIT licenceAudited 31 Oct 2026 · source 3d5fdd97f33f
Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 3d5fdd97f33f and found no filesystem, network or shell access and no hard-coded secrets. What it does: Conversational AI-first interface with minimal controls, clear outcomes, and delegated task flows for agentic workflows.
Cite
Cite this page
ModelsAtlas. “dashboard (bergside/awesome-design-skills)”. Retrieved 31 Oct 2026. https://modelsatlas.com/skills/bergside/dashboard
Trust audit
Audit 0.4.1 · source read 31 Oct 2026
SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.
What the source does
- FilesystemNone observedNo reads or writes in the source
- NetworkNone observedNo outbound calls in the source
- ShellNone observedNo commands run in the source
- DependenciesPinnedNothing floats
- SecretsNone foundNo keys in source
Five audit layers
| Layer | What we check | Result | Findings |
|---|---|---|---|
L0 Provenance | Repo owner, licence, archive status, activity | WARN | 2 |
L1 Static source | Secrets, path traversal, supply chain, hidden code | NA | 0 |
L2 Instructions | Prompt injection, authority framing, hidden directives | PASS | 0 |
L3 Inventory | The files and declarations match the source | PASS | 0 |
L4 Sandbox | Run in isolation and watch behaviour | SKIPPED why | 0 |
Gates applied: no behavioural pass.
Findings (2)
MEDIUMInventory / provenanceinv.binary · skills/.DS_Store
.DS_Store
- Why
- a compiled or binary member cannot be reviewed from source
- Fix
- ship source, or explain the binary in the README
Audit 0.4.1 · source sha 3d5fdd97f33f · 31 Oct 2026Report an issue or request a re-scan
Provenance
Who published it, and what the verdict is pinned to
- Publisherbergside GitHub organizationOwner of the repository this skill is read from
- Source folderbergside/awesome-design-skillsThe exact folder we audited
- LicenceMITAs the repository states it
- Commit pinned for this verdict3d5fdd97f33fA new audit runs when the source changes
- Repository statusNot archivedLast push 125 days ago
- Sandboxed runNot runSkills are read, not executed; layer L4 is skipped
What it tells the agent
Full source on GitHub ↗Its description: Conversational AI-first interface with minimal controls, clear outcomes, and delegated task flows for agentic workflows.
--- name: agentic description: Conversational AI-first interface with minimal controls, clear outcomes, and delegated task flows for agentic workflows. license: MIT metadata: author: typeui.sh --- <!-- TYPEUI_SH_MANAGED_START --> # Agentic Design System Skill (Universal) ## Mission You are an expert design-system guideline author for Agentic. Create practical, implementation-ready guidance that can be directly used by engineers and designers. ## Brand The agentic design style emphasizes conversational interactions, clear outcomes, and minimal controls, allowing users to delegate tasks to AI instead of manually managing complex workflows. ## Style Foundations - Visual style: modern, bold - Typography scale: 14/16/18/24/32/40 | Fonts: primary=Playfair Display, display=Playfair Display, mono=JetBrains Mono | weights=100, 200, 300, 400, 500, 600, 700, 800, 900 - Color palette: surface/subtle layers | Tokens: primary=#FF5701, secondary=#F6F6F1, success=#16A34A, warning=#D97706, danger=#DC2626, surface=#FFFFFF, text=#111827 - 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. ## Guideline Authoring Workflow 1. Restate the design intent in one sentence before proposing rules. 2. Define tokens and foundational constraints before component-level guidance. 3. Specify component anatomy, states, variants, and interaction behavior. 4. Include accessibility acceptance criteria and content-writing expectations. 5. Add anti-patterns and migration notes for existing inconsistent UI. 6. End with a QA checklist that can be executed in code review. ## Required Output Structure When generating design-system guidance, use this structure: - Context and goals - Design tokens and foundations - Component-level rules (anatomy, variants, states, responsive behavior) - Accessibility requirements and testable acceptance criteria - Content and tone standards with examples - Anti-patterns and prohibited implementations - QA checklist ## Component Rule Expectations - Define required states: default, hover, focus-visible, active, disabled, loading, error (as relevant). - Describe interaction behavior for keyboard, pointer, and touch. - State spacing, typography, and color-token usage explicitly. - Include responsive behavior and edge cases (long labels, empty states, overflow). ## Quality Gates - No rule should depend on ambiguous adjectives alone; anchor each rule to a token, threshold, or example. - Every accessibility statement must be testable in implementation. - Prefer system consistency over one-off local optimizations. - Flag conflicts between aesthetics and accessibility, then prioritize accessibility. ## Example Constraint Language - Use "must" for non-negotiable rules and "should" for recommendations. - Pair every do-rule with at least one concrete don't-example. - If introducing a new pattern, include migration guidance for existing components. <!-- TYPEUI_SH_MANAGED_END -->
Excerpt, first 3,961 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.
Install
Pinned to the audited commit 3d5fdd9
git clone https://github.com/bergside/awesome-design-skills git -C awesome-design-skills checkout 3d5fdd97f33f
The author documents no install command, so this uses the repository directly. Our verdict covers commit 3d5fdd97f33f only.
Works in which agents?
What its own text says, not a test
| Agent | Status | More |
|---|---|---|
| Claude Code | Mentioned in its text, not tested | Skills for Claude Code · About Claude Code |
| Codex | Mentioned in its text, not tested | Skills for Codex · About Codex |
| Cursor | Mentioned in its text, not tested | Skills for Cursor · About Cursor |
Audit history
Every audit, every source change
- ✓SAFE B 89 / 100
first audit · source
3d5fdd97f33f
README badge
For maintainers · shows the latest audit
[](https://modelsatlas.com/skills/bergside/dashboard/)
The badge shows our verdict and grade for this skill, and links back to this page. It changes when the audit does.
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Add this badge to your README
[](https://modelsatlas.com/skills/bergside/dashboard/)
<a href="https://modelsatlas.com/skills/bergside/dashboard/"><img src="https://modelsatlas.com/skills/bergside/dashboard/badge.svg" alt="ModelsAtlas: SAFE B"></a>
Questions about dashboard
What does the dashboard skill do?
Is dashboard safe to install?
What can dashboard access on my machine?
Which assistants does dashboard work with?
How current is this page?
Sources
- github.com/bergside/awesome-design-skills — the audited source at commit 3d5fdd97f33f and every finding aboveObserved · 31 Oct 2026
Spotted something wrong? Report a correction · Methodology
Keep going in your AI
Opens with this page as the source. We add nothing else to the prompt.
- What does the dashboard skill do?
- Is dashboard safe to install?
- What can dashboard access on my machine?