Expect logo

Expect

Community
yonatangross
expect

Diff-aware AI browser testing — reads the git diff, maps changes to affected pages via the route map, generates a targeted test plan, and executes it via agent-browser (Rust daemon + CDP, ARIA-tree-first) with pass/fail reporting. Use when testing UI changes, verifying PRs before merge, or running regression checks on changed components.

Overview

Publisheryonatangross
Repositoryorchestkit
Skill nameexpect
Stars
298
Forks
35
Bundled files
34
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 34 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by yonatangross on GitHub. Read the source before you install it.

Installation

Install the Expect AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/yonatangross/orchestkit/tree/main/plugins/ork/skills/expect
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/yonatangross/orchestkit.git /tmp/orchestkit
mkdir -p .claude/skills
cp -r /tmp/orchestkit/plugins/ork/skills/expect .claude/skills/expect
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Expect in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Expect on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Expect is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Expect — Diff-Aware AI Browser Testing

Analyze git changes, generate targeted test plans, and execute them via AI-driven browser automation.

Note: If disableSkillShellExecution is enabled (CC 2.1.91), the agent-browser install check won't run. Verify it's installed: npx agent-browser --version.

bash
expect                              # Auto-detect changes, test affected pages
expect -m "test the checkout flow"  # Specific instruction
expect --flow login                 # Replay a saved test flow
expect --target branch              # Test all changes on current branch vs main
expect -y                           # Skip plan review, run immediately

Core principle: Only test what changed. Git diff drives scope — no wasted cycles on unaffected pages.

Argument Resolution

python
ARGS = "[-m <instruction>] [--target unstaged|branch|commit] [--flow <slug>] [-y]"

# Parse from full argument string
import re
raw = ""  # Full argument string from CC

INSTRUCTION = None
TARGET = "unstaged"  # Default: test unstaged changes
FLOW = None
SKIP_REVIEW = False

# Extract -m "instruction"
m_match = re.search(r'-m\s+["\']([^"\']+)["\']|-m\s+(\S+)', raw)
if m_match:
    INSTRUCTION = m_match.group(1) or m_match.group(2)

# Extract --target
t_match = re.search(r'--target\s+(unstaged|branch|commit)', raw)
if t_match:
    TARGET = t_match.group(1)

# Extract --flow
f_match = re.search(r'--flow\s+(\S+)', raw)
if f_match:
    FLOW = f_match.group(1)

# Extract -y
if '-y' in raw.split():
    SKIP_REVIEW = True

STEP 0: MCP Probe + Prerequisite Check

python
# memory is alwaysLoad in .mcp.json (CC 2.1.121+, #1541) — probe below kept as fallback for older CC:
ToolSearch(query="select:mcp__memory__search_nodes")

# Verify agent-browser is available (Rust-native, no Playwright)
Bash("command -v agent-browser || npx agent-browser --version")
# If missing: "Install agent-browser: npm i -g agent-browser"

# Load agent-browser's version-matched workflow guide (ships with the CLI).
# NOT `skills get agent-browser` — that resolves but returns only the thin
# top-level router; `core --full` is the actual 2,800+ line command reference.
Bash("agent-browser skills get core --full")

CRITICAL: Task Management

python
# 1. Create main task IMMEDIATELY
TaskCreate(
  subject="Expect: test changed code",
  description="Diff-aware browser testing pipeline",
  activeForm="Running diff-aware browser tests"
)

# 2. Create subtasks for each pipeline phase
TaskCreate(subject="Check fingerprint (skip if unchanged)", activeForm="Checking fingerprint")  # id=2
TaskCreate(subject="Scan git diff and classify changes", activeForm="Scanning diff")            # id=3
TaskCreate(subject="Map changes to routes/URLs", activeForm="Mapping routes")                   # id=4
TaskCreate(subject="Generate AI test plan", activeForm="Generating test plan")                   # id=5
TaskCreate(subject="Execute tests via agent-browser", activeForm="Executing browser tests")     # id=6
TaskCreate(subject="Compile test report", activeForm="Compiling report")                        # id=7

# 3. Set dependencies for sequential phases
TaskUpdate(taskId="3", addBlockedBy=["2"])  # Diff scan needs fingerprint check
TaskUpdate(taskId="4", addBlockedBy=["3"])  # Route map needs diff results
TaskUpdate(taskId="5", addBlockedBy=["4"])  # Test plan needs route map
TaskUpdate(taskId="6", addBlockedBy=["5"])  # Execution needs test plan
TaskUpdate(taskId="7", addBlockedBy=["6"])  # Report needs execution results

# 4. Update status as you progress
TaskUpdate(taskId="2", status="in_progress")  # When starting
TaskUpdate(taskId="2", status="completed")    # When done — repeat for each subtask

Pipeline Overview

Git Diff → Route Map → Fingerprint Check → Test Plan → Execute → Report
PhaseWhatOutputReference
1. FingerprintSHA-256 hash of changed filesSkip if unchanged since last runreferences/fingerprint.md
2. Diff ScanParse git diff, classify changesChangesFor data (files, components, routes)references/diff-scanner.md
3. Route MapMap changed files to affected pages/URLsScoped page listreferences/route-map.md
4. Test PlanGenerate AI test plan from diff + route mapMarkdown test plan with stepsreferences/test-plan.md
5. ExecuteRun test plan via agent-browserPass/fail per step, screenshotsreferences/execution.md
6. ReportAggregate results, artifacts, exit codeStructured report + artifactsreferences/report.md

Phase 1: Fingerprint Check

Check if the current changes have already been tested:

python
Read(".expect/fingerprints.json")  # Previous run hashes
# Compare SHA-256 of changed files against stored fingerprints
# If match: "No changes since last test run. Use --force to re-run."
# If no match or --force: continue to Phase 2

Load: Read("references/fingerprint.md")

Phase 2: Diff Scan

Analyze git changes based on --target:

python
if TARGET == "unstaged":
    diff = Bash("git diff")
    files = Bash("git diff --name-only")
elif TARGET == "branch":
    diff = Bash("git diff main...HEAD")
    files = Bash("git diff main...HEAD --name-only")
elif TARGET == "commit":
    diff = Bash("git diff HEAD~1")
    files = Bash("git diff HEAD~1 --name-only")

Classify each changed file into 3 levels:

  1. Direct — the file itself changed
  2. Imported — a file that imports the changed file
  3. Routed — the page/route that renders the changed component

Load: Read("references/diff-scanner.md")

Phase 3: Route Map

Map changed files to testable URLs using .expect/config.yaml:

yaml
# .expect/config.yaml
base_url: http://localhost:3000
route_map:
  "src/components/Header.tsx": ["/", "/about", "/pricing"]
  "src/app/auth/**": ["/login", "/signup", "/forgot-password"]
  "src/app/dashboard/**": ["/dashboard"]

If no route map exists, infer from Next.js App Router / Pages Router conventions.

Load: Read("references/route-map.md")

Phase 4: Test Plan Generation

Build an AI test plan scoped to the diff, using the scope strategy for the current target:

python
scope_strategy = get_scope_strategy(TARGET)  # See references/scope-strategy.md

prompt = f"""
{scope_strategy}

Changes: {diff_summary}
Affected pages: {affected_urls}
Instruction: {INSTRUCTION or "Test that the changes work correctly"}

Generate a test plan with:
1. Page-level checks (loads, no console errors, correct content)
2. Interaction tests (forms, buttons, navigation affected by the diff)
3. Visual regression (compare ARIA snapshots if saved)
4. Accessibility (axe-core scan on affected pages)
"""

If --flow specified, load saved flow from .expect/flows/{slug}.yaml instead of generating.

If NOT --y, present plan to user via AskUserQuestion for review before executing.

Load: Read("references/test-plan.md")

Phase 5: Execution

agent-browser Quick Primer

Floor is >= 0.31.1 (0.27.1 is documented broken on prod pages); current tested release is 0.38.1 (see upstream-version-tested). Commands below hold across this range. 0.30+ adds agent-browser read (agent-readable text extraction) and the --restore / --namespace session-restore workflow for stable, isolated browser state across agent runs. 0.33.0 adds agent-browser a11y [url], an embedded axe-core audit (WCAG tag filtering, selector scoping, iframe-aware text/JSON output) available as both a CLI command and an MCP tool. 0.34.0 adds persistent session-to-tab binding for shared Chrome sessions, with --pin-tab making the binding strict so an externally closed tab yields a stable tab_gone error. 0.35.0 adds --ca-cert <path> for a trusted local CA behind an SSL-inspecting proxy (Linux-only; the targeted alternative to --ignore-https-errors). 0.35.1 changes behaviour the Diff row below relies on: diff snapshot now resets ref numbering per diff and invalidates refs across navigations, so refs captured before a navigation must be re-read rather than reused. 0.36.0 adds experimental WebMCP tool discovery (webmcp list/invoke/result/cancel, brief untrusted catalog summaries on open). 0.37.0 makes record capture the active page at 30 fps and inherits session setup into new tabs. 0.38.0 adds snapshot --delta (full baseline, then unchanged or a compact structural change), screenshot --if-changed --threshold, persistent refs that survive same-document DOM changes, --human / --input-mode pointer realism, and auth login --no-navigate. Full command surface: references/upstream.md and agent-browser skills get core --full.

AreaCommandNotes
Snapshotagent-browser snapshot -iARIA tree w/ @eN refs. -C/--cursor was removed in 0.22
Snapshot delta (0.38+)agent-browser snapshot --deltaFull tree once, then unchanged or a compact structural diff; refs persist across same-document changes
Semantic locatoragent-browser find role button click --name "Continue"Grammar: find <locator> <value> [action]; stable alternative to @eN refs
Interactionfill @e1 "...", click @e2, press Enter, drag @e1 @e2, upload @e1 file.pdfAll take ARIA refs. Add --human for a curved approach instead of an instant jump
Waitswait --load networkidle, wait --text "Success", wait --fn "window.ready"Event-driven, never sleep-based
Networknetwork route "*analytics*" --abort, network route "https://api/*" --body '{...}'Intercept + stub
Statestate save/load auth.json, --session-name <name>Persist auth across runs
Vaultvault store github_pat, vault load github_patEncrypted credential store
Diffdiff snapshot, diff screenshot --baseline /tmp/x.pngARIA + pixel diffing across separate runs; prefer snapshot --delta for within-run before/after on the same page
Capturescreenshot --annotate, screenshot --if-changed --threshold <n> (0.38+), pdf, record start/stop --fps <n>--if-changed skips re-encoding an unchanged screenshot; record defaults to 30 fps (0.37+)
Dashboardagent-browser dashboard start (0.25+)Browser-side runtime inspector on :4848

Run the test plan

python
expect_task = Agent(
  subagent_type="ork:expect-agent",
  prompt=f"""Execute this test plan:
  {test_plan}

  For each step:
  1. Navigate to the URL
  2. Execute the test action
  3. Take a screenshot on failure
  4. Report PASS/FAIL with evidence
  """,
  run_in_background=True,
  model="sonnet",
  max_turns=50
)

# Stream agent-browser progress line-by-line instead of polling (CC 2.1.98+)
# Each stdout line from agent-browser arrives as a notification — useful for
# catching a failing step early rather than waiting for the full plan.
# Full pattern: Read("${CLAUDE_PLUGIN_ROOT}/skills/chain-patterns/references/monitor-patterns.md")
Monitor(pid=expect_task.agent_id)

# For long test plans (>3 min typical), notify on completion — requires
# Remote Control + "Push when Claude decides" config (CC 2.1.110+).
# Skip silently if the user doesn't have Remote Control enabled.
if test_plan_duration_estimate > 180:
    PushNotification(
        message=f"ork:expect complete — {passed}/{total} steps passed on {len(affected_urls)} pages",
        status="proactive"
    )

Load: Read("references/execution.md")

Phase 6: Report

expect Report
═══════════════════════════════════════
Target: unstaged (3 files changed)
Pages tested: 4
Duration: 45s

Results:
  ✓ /login — form renders, submit works
  ✓ /signup — validation triggers on empty fields
  ✗ /dashboard — chart component crashes (TypeError)
  ✓ /settings — preferences save correctly

3 passed, 1 failed

Artifacts:
  .expect/reports/2026-03-26T16-30-00.json
  .expect/screenshots/dashboard-error.png

Load: Read("references/report.md")

Saved Flows

Reusable test sequences stored in .expect/flows/:

yaml
# .expect/flows/login.yaml
name: Login Flow
steps:
  - navigate: /login
  - fill: { selector: "#email", value: "test@example.com" }
  - fill: { selector: "#password", value: "password123" }
  - click: button[type="submit"]
  - assert: { url: "/dashboard" }
  - assert: { text: "Welcome back" }

Run with: expect --flow login

Auto-trigger after UI edits (M125 #2)

When the dev stack is live (dev), saving any .tsx, .jsx, .css, or .scss file (and Next.js route files like app/**/page.tsx, pages/**/*.tsx) emits a nudge to run expect <route>. The hook (posttool/ui-change-detector) is default-on and:

  • skips silently if dev hasn't booted (no agent-browser session to attach to);
  • enforces a 30-second cooldown per route to prevent spam on rapid saves;
  • honors .claude/state/expect-skip.<sessionId> as a per-session opt-out (write any content);
  • honors ORK_EXPECT_AUTO=0 for an env-level kill switch.

Route resolution: app/dashboard/page.tsx → /dashboard, pages/settings.tsx → /settings, component / global-style edits → / (home as proxy). Route groups like app/(marketing)/pricing/page.tsx strip to /pricing.

ARIA snapshot recording (M125 #6)

After a passing run, the posttool/expect/snapshot-recorder hook persists the captured ARIA tree to .claude/state/expect-snapshots/<route-slug>/<parent-commit>.json. Subsequent expect <route> --diff runs compare against the most recent prior snapshot for that route — surfaces structural regressions (added/removed buttons, label changes, hierarchy shifts) without needing a baseline screenshot.

For the snapshot recorder to fire, the expect run output must contain RUN_COMPLETED|passed, ROUTE|<route>, and ARIA|<json-summary> tags. The agent-browser-driven flow already emits these.

Jev step judge (opt-in, three modes)

ORK_EXPECT_JEV selects the mode. Unset or falsey is off, and off means zero network. shadow (also selected by a truthy ORK_EXPECT_JEV_SHADOW for compatibility) logs one Jev request per step beside the agent's pick: a Choice over the bounded legal-action set built from the interactive ARIA elements, plus three verify Nouls, with probabilities and per-step agreement in the report. 1 or act lets the Jev pick drive the step instead, failing closed to the agent's own pick on any error, timeout, empty or malformed answer, or a confidence below act_confidence_floor. Tunables live in .expect/config.yaml jev_shadow:. Load: Read("references/jev-shadow.md")

When NOT to Use

  • Unit tests — use cover instead
  • API-only changes — no browser UI to test
  • Generated files — skip build artifacts, lock files
  • Docs-only changes — unless you want to verify docs site rendering

Quality Bar

Done means all of these hold:

  • Test-plan scope is derived from the git diff for the chosen --target — no unaffected page appears in the plan.
  • Every changed file maps to at least one tested route (via .expect/config.yaml or inferred convention) OR is explicitly excluded as API-only, generated, or docs-only.
  • Fingerprint check runs first; a diff unchanged since the last run skips execution instead of re-testing.
  • Unless -y is passed, the plan is presented for review before any browser action runs.
  • Each executed step reports PASS or FAIL with evidence (screenshot on failure), and the report's pass/fail totals match the steps actually run.
  • The report's exit code is non-zero whenever any step failed.

Budget: at most 30 minutes total and 5 minutes per page (a slower page is skipped, per references/test-plan.md; defaults, .expect/config.yaml overrides), 50 executor turns (max_turns=50), one sequential ork:expect-agent, never parallel browsers (rules/no-parallel-browsers.md); stop and report partial results at the finish line or the first cap, whichever comes first.

Related Skills

  • agent-browser — Browser automation engine (required dependency)
  • ork:cover — Test suite generation (unit/integration/e2e)
  • ork:verify — Grade existing test quality
  • testing-e2e — Playwright patterns and best practices

References

Load on demand with Read("references/<file>"):

FileContent
fingerprint.mdSHA-256 gating logic
diff-scanner.mdGit diff parsing + 3-level classification
route-map.mdFile-to-URL mapping conventions
test-plan.mdAI test plan generation prompt templates
execution.mdagent-browser orchestration patterns
report.mdReport format + artifact storage
config-schema.md.expect/config.yaml full schema
aria-diffing.mdARIA snapshot comparison for semantic diffing
scope-strategy.mdTest depth strategy per target mode
saved-flows.mdMarkdown+YAML flow format, adaptive replay
rrweb-recording.mdrrweb DOM replay integration
human-review.mdAskUserQuestion plan review gate
ci-integration.mdGitHub Actions workflow + pre-push hooks
research.mdmillionco/expect architecture analysis
jev-shadow.mdOpt-in Jev step judge per step: bounded-action Choice + verify Nouls; shadow logs, act drives with fail-closed fallback

Version: 1.0.0 (March 2026) — Initial scaffold, M99 milestone

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Expect AI skill do?

Diff-aware AI browser testing — reads the git diff, maps changes to affected pages via the route map, generates a targeted test plan, and executes it via agent-browser (Rust daemon + CDP, ARIA-tree-first) with pass/fail reporting. Use when testing UI changes, verifying PRs before merge, or running regression checks on changed components.

Why use Expect on TypingMind?

Because you install it once and use it with any model. Expect is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Expect in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yonatangross/orchestkit/tree/main/plugins/ork/skills/expect. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Expect?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Expect?

As many as you like. As long as a model supports skills, you can use Expect with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Expect AI skill free?

Yes. It is published on GitHub by yonatangross under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇