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 acryldev/acryl --skill acryl-add-uigit clone --depth 1 https://github.com/acryldev/acrylWrote 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/acryldev/acryl/acryl-add-ui)<a href="https://agentmods.dev/skills/acryldev/acryl/acryl-add-ui"><img src="https://agentmods.dev/badge/skills/acryldev/acryl/acryl-add-ui/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/acryldev/acryl/acryl-add-ui"><img src="https://agentmods.dev/badge/skills/acryldev/acryl/acryl-add-ui.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 | $0.00034 | $0.00401 |
| Opus 5.5 | $0.00014 | $0.00160 |
| Sonnet 5.5 | $0.00007 | $0.00080 |
| Haiku 4.5 | $0.00003 | $0.00040 |
Grade A, and why
acryl-add-ui 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 6d 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.
What it actually says
Add UI to ACRYL (web and desktop)
First read {{pack}}/docs/maps/mount-points.md to choose the mount point and check the surface: Web and Desktop use client
slots (header actions, sidebar tab, settings, composer, tool and message renderers, and on Desktop the desktop.main frame); the
CLI has only terminal overlays (tuiCommands, see {{pack}}/docs/extending/tui-command.md), so a UI request from a terminal user
means an overlay, not a slot. Then read {{pack}}/docs/extending/ui-components.md (build from the app's own Button, Modal, Input, Switch, Tag via require, not hand styles) and {{pack}}/docs/extending/client-slot.md completely, then the example
{{pack}}/example-plugins/packages/client-slot-header-action/ (index.js and client.js).
Key facts: the package has a host half (empty apply) and a browser half client.js exported as "./client" with "dsh.client" in package.json. There is no build step: write client.js by hand inside the window.ModuleLoader.load wrapper, use React.createElement (no JSX, no import), and pick a slot from the table in the doc. Decide where state lives first ({{pack}}/docs/extending/state-and-persistence.md): localStorage is per browser and per surface (Web and Desktop never share it), so when the data must be the same in both, or survive clearing the browser, keep it on the host behind an RPC channel (example state-host-store); tell the user which you chose. Deliver with acryl_install_plugin and tell the user it is already live in their open conversation (no reload needed).
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.
- 6d ago Changed 4f45894b68b8
- 24d ago Changed · +1 lines dd21fc0fb619
- 25d ago First seen · 18 lines · 34 tokens per session scan A 4ed35babe7a0
acryl-add-ui is a skill published in the GitHub repository acryldev/acryl (256 stars, last pushed today), licensed MIT. It adds 34 tokens to every session and 401 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-21.
Other skills, from other repositories
prototype
Build a throwaway prototype to answer a design question. Use when the user wants to sanity-check whether a state model or logic feels right, or explore what a UI should look like.
modsearch
Plug-in web search, X (Twitter) search, and page fetch for models without native web access. Use whenever the task needs current information, external facts, source links, posts from X, or the content of a specific URL, and the active model/harness has no native search or fetch tool. Runs the modsearch CLI to return…
mqc-litigation-visual-redraw
Redraw a litigation diagram into a restrained, court-ready presentation graphic (SVG + PNG) WITHOUT changing any text or legal meaning. Use this whenever the user supplies a case timeline, a legal process flowchart, OR a party/relationship diagram and wants it cleaned up, beautified, redrawn, made professional…
mqc-legal-relation-master
A legal case-preparation workflow that turns case materials into a diagram of people, contracts, projects, money, and the relationships between them. It produces editable diagram files as well as image versions, using the selected visual style.
manage-taskboard
Manage work in the native DeepSeek Harness Taskboard with exact task ids and optimistic versions. Use when an Agent must inspect project work, claim an eligible todo, record progress or blockers, verify an implementation, submit it for human review, or release its own claim; also use when a human asks how to accept…
industry-research-method
A Chinese-language method for researching an industry by mapping its supply chain, tracking policies and news, and writing sourced reports. It separates the chain into upstream inputs, midstream production, and downstream distribution or use.