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 agentmods add skills/act-sdk/act-sdk-js/adaptnpx skills add act-sdk/act-sdk-js --skill adaptgit clone --depth 1 https://github.com/act-sdk/act-sdk-jsWrote 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/act-sdk/act-sdk-js/adapt)<a href="https://agentmods.dev/skills/act-sdk/act-sdk-js/adapt"><img src="https://agentmods.dev/badge/skills/act-sdk/act-sdk-js/adapt.svg" alt="Measured on agentmods" 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 | $0.00026 | $0.01472 |
| Opus 5 | $0.00013 | $0.00736 |
| Sonnet 5 | $0.00005 | $0.00294 |
| Haiku 4.5 | $0.00003 | $0.00147 |
Grade A, and why
adapt 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 3d 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
88% identical to adapt — 20 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 — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Adapt existing designs to work effectively across different contexts - different screen sizes, devices, platforms, or use cases.
Assess Adaptation Challenge
Understand what needs adaptation and why:
-
Identify the source context:
- What was it designed for originally? (Desktop web? Mobile app?)
- What assumptions were made? (Large screen? Mouse input? Fast connection?)
- What works well in current context?
-
Understand target context:
- Device: Mobile, tablet, desktop, TV, watch, print?
- Input method: Touch, mouse, keyboard, voice, gamepad?
- Screen constraints: Size, resolution, orientation?
- Connection: Fast wifi, slow 3G, offline?
- Usage context: On-the-go vs desk, quick glance vs focused reading?
- User expectations: What do users expect on this platform?
-
Identify adaptation challenges:
- What won't fit? (Content, navigation, features)
- What won't work? (Hover states on touch, tiny touch targets)
- What's inappropriate? (Desktop patterns on mobile, mobile patterns on desktop)
CRITICAL: Adaptation is not just scaling - it's rethinking the experience for the new context.
Plan Adaptation Strategy
Create context-appropriate strategy:
Mobile Adaptation (Desktop → Mobile)
Layout Strategy:
- Single column instead of multi-column
- Vertical stacking instead of side-by-side
- Full-width components instead of fixed widths
- Bottom navigation instead of top/side navigation
Interaction Strategy:
- Touch targets 44x44px minimum (not hover-dependent)
- Swipe gestures where appropriate (lists, carousels)
- Bottom sheets instead of dropdowns
- Thumbs-first design (controls within thumb reach)
- Larger tap areas with more spacing
Content Strategy:
- Progressive disclosure (don't show everything at once)
- Prioritize primary content (secondary content in tabs/accordions)
- Shorter text (more concise)
- Larger text (16px minimum)
Navigation Strategy:
- Hamburger menu or bottom navigation
- Reduce navigation complexity
- Sticky headers for context
- Back button in navigation flow
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.
- 3d ago First seen · 198 lines · 26 tokens per session scan A f4f88ca97b5b
adapt is a skill published in the GitHub repository act-sdk/act-sdk-js (2 stars, last pushed 3mo ago), licensed MIT. It adds 26 tokens to every session and 1,472 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to adapt, differing in 20 lines, and is treated as a copy.
Other skills, from other repositories
ui4
Manually invoked skill for reskinning Payload UI components. Requires Figma URL. Usage: /ui4.
flint-theme-author
Use when: creating, translating, refining, reviewing, or validating a custom Flint ThemeSpec from brand guidelines, websites, slide decks, publication references, design tokens, or an existing visual identity. Produce a reusable ThemeSpec JSON object for Flint Theme Lab without inventing fields or changing chart…
coss
Helps implement coss UI components correctly. Use when building UIs with coss primitives (buttons, dialogs, selects, forms, menus, tabs, inputs, toasts, etc.), migrating from shadcn/Radix to coss/Base UI, composing trigger-based overlays, or troubleshooting coss component behavior. Covers imports, accessibility…
diagram-design
Best practices for creating research diagrams with Excalidraw MCP tools.
image-prompting
Use when generating or editing images via blockrunimage — especially with GPT Image 2, Nano Banana, or Grok Imagine for posters, UI mockups, marketing assets, product shots, or anything with on-image text. Turns vague user requests ("make me a cool poster") into structured, text-accurate prompts that actually render…
specimen-authoring
Workflow and hard-won TD patterns for authoring Embody Specimens (the transparent TDXN gallery networks). Load before building or persisting a Specimen.