Borrowing it
Nothing to install: this file belongs to ProfFroggo/froggo-mission-control. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ProfFroggo/froggo-mission-control/dev/.agents/skills/adapt/SKILL.mdgit clone --depth 1 https://github.com/ProfFroggo/froggo-mission-controlWrote 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/proffroggo/froggo-mission-control/adapt)<a href="https://agentmods.dev/skills/proffroggo/froggo-mission-control/adapt"><img src="https://agentmods.dev/badge/skills/proffroggo/froggo-mission-control/adapt/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/proffroggo/froggo-mission-control/adapt"><img src="https://agentmods.dev/badge/skills/proffroggo/froggo-mission-control/adapt.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 | $0.00051 | $0.01525 |
| Opus 5.5 | $0.00020 | $0.00610 |
| Sonnet 5.5 | $0.00010 | $0.00305 |
| Haiku 4.5 | $0.00005 | $0.00153 |
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 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.
This is a copy
95% identical to adapt — 6 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.
MANDATORY PREPARATION
Invoke /frontend-design — it contains design principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no design context exists yet, you MUST run /teach-impeccable first. Additionally gather: target platforms/devices and usage contexts.
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
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 First seen · 198 lines · 51 tokens per session scan A a960b3dec6b0
adapt is a skill published in the GitHub repository ProfFroggo/froggo-mission-control (2 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 51 tokens to every session and 1,525 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 95% identical to adapt, differing in 6 lines, and is treated as a copy.
adapt compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| adaptProfFroggo/froggo-mission-control | Skill | 2 | 6mo ago | Apache-2.0 | A | 51 | Claude Code, Codex |
| orca-emulator-androidstablyai/orca | Skill | 117k | yesterday | MIT | A | 102 | Claude Code, Codex |
| glance-canonical-layoutsandroid/skills | Skill | 10k | yesterday | Apache-2.0 | A | 56 | Claude Code |
| android-tombstone-symbolicationdotnet/skills | Skill | 5.8k | yesterday | MIT | A | 176 | Claude Code |
| dogfoodcallstack/agent-device | Skill | 5.3k | yesterday | MIT | A | 55 | Claude Code |
| winapp-mauimicrosoft/winappCli | Skill | 1.4k | yesterday | MIT | A | 68 | Claude Code |
| app_remixrome-os/rome | Skill | 889 | yesterday | MIT | A | 50 | Claude Code, Codex |