agentleFS
moltbotmoltbot/moltbot/.agents/skills/control-ui-e2e/SKILL.md

control-ui-e2e

Skill393k starsChanged 7 days agoMITView on GitHub

Control UI browser tests, visual reviews and recordings, interaction performance audits, and Run Inspector evidence.

We split this skill into the rules it gives an agent

5 rules. 0 are common, 4 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 6 edited versions we read keep these.

  • 4

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Select proof: Use the existing browser E2E lane for routing, boot, Gateway handshake, and complete user flows.

    line 10
  2. Distinctive:

    Done: every changed behavior has a named scenario and proof boundary.

    line 13
  3. Distinctive:

    Follow testing policy for execution placement.

    line 18
  4. Distinctive:

    Done: every claimed result has inspectable evidence.

    line 28
  5. Very specific:

    Use the current scripts in package.json and testing policy.

    line 69

“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Control UI E2E

Workflow

  1. Select proof. Use the existing browser E2E lane for routing, boot, Gateway handshake, and complete user flows; use browser/unit tests for isolated render logic. Read each branch below that matches the requested outcome. Done: every changed behavior has a named scenario and proof boundary.
  2. Prepare fixtures. Reuse ui/src/test-helpers/control-ui-e2e.ts with synthetic Gateway data. Extend its typed scenario options for missing responses. Use the existing dependency installation; preserve installs used by other jobs. Real Gateway/provider credentials require explicit live-proof authorization. Follow testing policy for execution placement. Done: the target flow runs against the intended source or production build and each required fixture response is defined.
  3. Exercise behavior. Install the mock before navigation. Act through visible controls and assert both the rendered outcome and relevant Gateway requests. Resolve unexpected behavior at the product or fixture owner before replaying. Done: each scenario reaches its asserted outcome, or has a retained failure identifying the unmet assertion.
  4. Deliver evidence. Apply the artifact rules below and the selected branch's checks. Report verified results, failures, and untested states separately. Done: every claimed result has inspectable evidence; remaining gaps are named.

UI Stress Test

For substantial layout/component changes or multi-state design feedback, read visual proof before building the stress-test gallery. Small copy/icon changes may use focused proof.

Visual Proof Default

For appearance changes, screenshots, transient-state capture, or video, read visual proof. Appearance changes require inspected before/after evidence; behavior assertions alone can suffice for nonvisual fixes.

Interaction Performance Audits

For UI slowness, responsiveness audits, or automatic Chrome trace collection, read interaction profiling before choosing the build, fixtures, and measurement boundaries.

Run Inspector evidence

For run/execution/decision evidence, read Run Inspector capture before selecting a receipt.

Artifacts

  • Allocate with createControlUiE2eArtifactDir(scope, parentDir?), once per attempt or standalone invocation. Pass the directory to capture helpers; keep distinct stage filenames and the report, screenshots, traces, and video together.
  • The helper owns parent selection. Preserve existing output controls, gates, viewport, and recording options; use its returned path in the final report.
  • Retain failed and successful attempts. Clean up only exact owned directories after review; never clear shared artifact parents or overwrite earlier proof.
  • Timeout diagnostics use fresh children of their existing diagnostic parent. Mantis retains every attempt. Real-Gateway, chat-outbox-*, and chat-attachment-read-lifecycle suites have separate owners: verify their retention behavior before claiming replay-safe capture.

Running a focused test

Use the current scripts in package.json and testing policy. For a worktree's focused browser test:

node scripts/run-vitest.mjs run --config test/vitest/vitest.ui-e2e.config.ts --configLoader runner ui/src/e2e/chat-flow.messaging.e2e.test.ts

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Trending

Quiet since March.about the whole repository

Dec 2025: 0 mentionsJan 2026: 48 mentionsFeb 2026: 5 mentionsMar 2026: 1 mentionApr 2026: 0 mentionsMay 2026: 0 mentionsJun 2026: 0 mentionsJul 2026: 0 mentionsAug 2026: 0 mentionsSep 2026: 0 mentionsOct 2026: 0 mentionsNov 2026: 0 mentions
Dec 2025Jun 2026Nov 2026
Mentions a month of the moltbot/moltbot repository that our weekly crawl found. There is no adoption data for this file yet.

Who's talking about moltbot/moltbot

The biggest 5 of 54 mentions linking to the repository that our crawl found. Each line is their own headline.

See all 54

Talked about on GitHub, the web, Bluesky and Hacker News (54 times).

On GitHub · 32

27 more on GitHub

On the web · 14

9 more on the web

On Bluesky · 5

On Hacker News · 3

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.