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 musterhq/muster --skill muster-frappe-uigit clone --depth 1 https://github.com/musterhq/musterWrote 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/musterhq/muster/muster-frappe-ui)<a href="https://agentmods.dev/skills/musterhq/muster/muster-frappe-ui"><img src="https://agentmods.dev/badge/skills/musterhq/muster/muster-frappe-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/musterhq/muster/muster-frappe-ui"><img src="https://agentmods.dev/badge/skills/musterhq/muster/muster-frappe-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 | $0.00058 | $0.00554 |
| Opus 5 | $0.00029 | $0.00277 |
| Sonnet 5 | $0.00012 | $0.00111 |
| Haiku 4.5 | $0.00006 | $0.00055 |
Grade A, and why
muster-frappe-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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 34 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Muster Frappe UI
Make automation visible and controllable without monopolizing the user's workspace. Muster must feel native to Frappe v16 while retaining its own execution identity.
Experience Model
- Use a persistent, collapsible activity dock for background work and a full mission workspace for planning, graphs, artifacts, evidence, and recovery.
- Let users navigate normal DocTypes while runs continue. Deep-link each event to the exact document, diff, approval, log, or artifact.
- Show proposed, approved, executing, waiting, blocked, failed, cancelled, rolled back, and completed states distinctly.
- Render the agent hierarchy and current task, but progressively disclose internal reasoning. Show actions, inputs, outputs, policy decisions, and evidence.
- Provide pause, cancel, retry, edit plan, approve once, approve scope, reject, and open result controls according to permissions.
Implementation Workflow
- Inspect Frappe v16 Desk, Workspace Sidebar, desktop icon registration, route conventions, existing design tokens, and mobile breakpoints.
- Load
frappe-agent:frappe-frontendandfrappe-agent:frappe-fullstack. - Prefer native Desk pages/components for the shell; use Vue and
frappe-uiwhere a richer graph or streaming surface requires it. - Subscribe to permission-filtered realtime events and reconcile from durable server state after reconnect.
- Implement keyboard, focus, screen-reader labels, reduced motion, empty/loading/offline/error states, and narrow viewport behavior.
- Test with real roles and large timelines on desktop and mobile.
Brand Contract
Use https://themuster.dev/assets/brand/muster-mark.png as the canonical mark, pinned to SHA-256 2342d61cd09bfa76e411a24a493a3a6a7b22a3be1f55e987ea33c9296e59c50d. The matching repository copy is currently website/public/assets/brand/muster-mark.png. It is the four white inward arms with a violet center. Reject a mismatched hash and do not use the older blue network “M” under docs/assets.
What ships with it
2 files 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.
- 11d ago First seen · 34 lines · 58 tokens per session scan A 2b0d0e19f948
muster-frappe-ui is a skill published in the GitHub repository musterhq/muster (11 stars, last pushed 6d ago), licensed MIT. It adds 58 tokens to every session and 554 once invoked, about $0.0003 per session on Opus 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 2026-08-30.
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