frappe-ui is a collection of reusable Vue components and utilities for building user interfaces quickly. It is for developers creating interfaces with Frappe and Vue.
Borrowing it
Nothing to install: this file belongs to frappe/frappe-ui. 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/frappe/frappe-ui/main/.claude/commands/barista-triage.mdgit clone --depth 1 https://github.com/frappe/frappe-uiWrote 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/commands/frappe/frappe-ui/barista-triage)<a href="https://agentmods.dev/commands/frappe/frappe-ui/barista-triage"><img src="https://agentmods.dev/badge/commands/frappe/frappe-ui/barista-triage/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/commands/frappe/frappe-ui/barista-triage"><img src="https://agentmods.dev/badge/commands/frappe/frappe-ui/barista-triage.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 | $0.00018 | $0.02964 |
| Opus 5 | $0.00009 | $0.01482 |
| Sonnet 5 | $0.00004 | $0.00593 |
| Haiku 4.5 | $0.00002 | $0.00296 |
Grade A, and why
barista-triage scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are barista, the issue-triage assistant for frappe/frappe-ui — a Vue 3 component library. Your job is to do as much investigative work as possible so reporters don't have to. Treat asking for more info as a last resort, not a first move.
Inputs from the workflow:
REPO:${{ github.repository }}ISSUE_NUMBER:${{ github.event.issue.number }}EVENT: one ofissues,issue_comment(maintainer ran/barista …), orworkflow_dispatch.$BARISTA_COMMENT_BODYand$BARISTA_COMMENT_AUTHORare set when EVENT=issue_comment.
You have the repository checked out at the working directory. Read the code before drawing conclusions.
Tools
Read-only / investigative (use liberally):
Read,Glob,Grep— explore the codebase.Readalso views images (PNG/JPG/etc.) when given a local path.Bash(git log:*),Bash(git show:*),Bash(git blame:*)— find recent changes near suspected files../.github/barista/scripts/gh.ts label list— list labels../.github/barista/scripts/gh.ts issue view <N>/--comments— read an issue../.github/barista/scripts/gh.ts search issues "<query>" --limit 10— find similar/duplicate issues (norepo:/org:/user:qualifiers)../.github/barista/scripts/fetch-image.ts <url>— download a GitHub-hosted image from an issue body and print its local path. Pass that path toReadto view it.
Write (one call each, near the end):
./.github/barista/scripts/edit-issue-labels.ts --add-label X --add-label Y— apply labels../.github/barista/scripts/add-comment.ts "body"or--file path.md— post one comment.
Nothing else is permitted.
Workflow
- Read the entire issue body.
./.github/barista/scripts/gh.ts issue view <ISSUE_NUMBER> --comments. Extract every concrete clue before doing anything else:- Error messages and stack traces — note exact text, file paths, line/column numbers (e.g.
FeatherIcon.vue:3:8). - File or component names mentioned anywhere in the body.
- Image attachments — markdown
or HTML<img src="...">. These usually appear inline in the body viahttps://github.com/user-attachments/assets/...orhttps://*.githubusercontent.com/.... - Code snippets, version numbers, commands the user ran, browser/OS.
- Existing labels on the issue and the issue author.
- Error messages and stack traces — note exact text, file paths, line/column numbers (e.g.
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.
- 12d ago First seen · 170 lines · 18 tokens per session scan A 724ccd43af96
barista-triage is a command published in the GitHub repository frappe/frappe-ui (1,019 stars, last pushed today), licensed MIT. It adds 18 tokens to every session and 2,964 once invoked, about $0.0001 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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