verifier-gui
Automates runtime verification of the Silo desktop app inside safe, throwaway workspaces.
Install
mkdir -p .claude/skills/verifier-gui && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/19013" && unzip -o skill.zip -d .claude/skills/verifier-gui && rm skill.zipInstalls to .claude/skills/verifier-gui
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Launch (or attach to) the Silo dev app and drive it for runtime verification through the dev automation RPC bridge — exec commands, eval DOM, capture screenshots, and create/activate/delete workspaces, terminals, editors. This is the repo's GUI evidence-capture handle for the `verify` skill. Use when verifying a change by running the real app and observing it. Always works inside a throwaway sandbox workspace, never the user's real workspaces.Key capabilities
- →Launch or attach to the Silo dev app
- →Execute commands via RPC bridge
- →Evaluate DOM elements
- →Capture screenshots of the app
- →Create, activate, and delete sandbox workspaces
How it works
The skill launches or attaches to the Silo dev app and drives it using an RPC bridge to execute commands, evaluate the DOM, and capture screenshots, all within a temporary sandbox workspace.
Inputs & outputs
When to use verifier-gui
- →Verify UI behavior at runtime
- →Capture screenshots for documentation
- →Test desktop app workflows
About this skill
Silo GUI Verifier
The handle the verify skill looks for: how to get the running Silo app under
control and capture evidence from it. Silo is a Tauri desktop app; its surface is
pixels + a dev-only RPC bridge. This skill drives that bridge.
It does not judge. It launches, drives, captures. The verdict is verify's.
Golden rule 1: verify in a sandbox workspace, never the user's
The app may be the user's live session with real workspaces and terminals. Do
all verification in a workspace you create from a temp dir, and delete it when
done. Never openTerminal/deleteWorkspace/openFile against an existing
workspace — you'd pollute or destroy real state. Create → activate → verify →
delete. This also makes destructive paths (workspace delete, session kill) safe
to exercise.
Golden rule 2: one turn, not one op per turn
The wall-clock cost here is agent turns, not the RPC bridge — each bridge call
is ~milliseconds on localhost, but every separate Bash tool call is a full model
round-trip (seconds). So issue a whole drive + capture sequence as a single
Bash call. The silo() helper is just curl; bash variables (WS_ID,
WS_DIR) persist within one invocation, so create → activate → drive →
screenshot → decode all belong in one block (see §2). A 6-step flow then costs
2 turns, not 7.
Only split into a separate turn when you genuinely must:
- The final
Read /tmp/silo.png—Readis its own tool, so capture-in-one-turn then read-in-the-next is the floor (2 turns). - Branching on an observed result — if the next op depends on what you saw (a count, a tab list, a pass/fail), end the block, read the output, then decide. A fixed setup sequence has no such dependency — never split it.
Echo any state you'll need next turn (e.g. echo "WS_ID=$WS_ID") — bash vars die
at the end of the Bash call.
1. Get the app up (attach or launch)
The bridge listens on 127.0.0.1:7878 (dev builds only — app:dev is built
--features automation). Define the request helper first — the contract is
strict: header X-Silo-Automation: 1 and a loopback Host, POST /, body
{"op", "args"}.
silo(){ curl -s -m30 -X POST http://127.0.0.1:7878/ \
-H 'X-Silo-Automation: 1' -H 'Content-Type: application/json' \
--data "$1"; }
Attach if it's already running, else launch:
if [ "$(silo '{"op":"ping"}')" = '{"ok":true,"result":"pong"}' ]; then
echo "attached to running dev app"
else
pnpm dev >/tmp/silo-appdev.log 2>&1 & # first run compiles Rust — slow
for i in $(seq 1 120); do # poll up to ~4 min
sleep 2
[ "$(silo '{"op":"ping"}' 2>/dev/null)" = '{"ok":true,"result":"pong"}' ] && break
done
fi
app:dev runs under the isolated "Silo Dev" identity (separate app data), so
launching never touches the user's real Silo install — but if you attached to
an already-running instance, the sandbox rule above still applies.
If you attached (ping succeeded on the first try), verify it's actually serving
your code before doing anything else. A pong only proves some dev app is
listening on 7878 — it can just as easily be a stale instance from a different
checkout, a different branch, or a session someone else started hours ago, with
none of the changes you're here to verify. Confirm the process identity, not just
liveness:
ps aux | grep "target/debug/silo\b" | grep -v grep
# expect the binary path to start with YOUR working directory, e.g.:
# /path/to/your/repo/apps/desktop/src-tauri/target/debug/silo
# a path pointing anywhere else means you're about to verify the wrong code —
# stop and either ask the user to close it or launch your own (a port conflict
# will make that obvious rather than silently reusing the wrong instance)
This check is cheap (one ps) against the cost of it going wrong: driving and
debugging against the wrong checkout produces confident-looking PASS/FAIL results
for code you didn't touch, and any oddity you hit sends you chasing a phantom bug
in your own change instead of noticing the mismatch.
2. Drive & capture — one block, one turn
Per golden rule 2, do the whole sandbox setup, drive steps, and screenshot in a
single Bash call. Bash variables persist within the invocation, so the
workspace id flows from one op to the next with no agent round-trip. End the block
with the screenshot + decode; the only follow-up turn is Read /tmp/silo.png.
# ── ONE Bash call = ONE turn ──────────────────────────────────────────────
WS_DIR=$(mktemp -d /tmp/silo-verify.XXXXXX)
WS_ID=$(silo "{\"op\":\"openWorkspace\",\"args\":{\"folder\":\"$WS_DIR\",\"name\":\"verify-sandbox\"}}" \
| python3 -c 'import json,sys; print(json.load(sys.stdin)["result"]["id"])')
silo "{\"op\":\"activateWorkspace\",\"args\":{\"id\":\"$WS_ID\"}}"
# ── drive steps (add as many as the check needs) ──
silo '{"op":"exec","args":{"command":"core.newTerminal"}}'
# silo "{\"op\":\"openFile\",\"args\":{\"path\":\"$WS_DIR/README.md\"}}"
# silo '{"op":"eval","args":{"expr":"document.querySelectorAll(\".xterm\").length"}}'
# ── capture as the LAST step in the same block ──
silo '{"op":"screenshot"}' > /tmp/shot.json
python3 -c "import json,base64;d=json.load(open('/tmp/shot.json'));r=d['result'];open('/tmp/silo.png','wb').write(base64.b64decode(r['png_base64']));print('shot',r['width'],r['height'])"
echo "WS_ID=$WS_ID" # surface state needed for next-turn cleanup
Next turn: Read /tmp/silo.png. The capture can be slow (a few seconds),
especially the first call — keep the timeout ≥30s and retry once if it returns
empty. No OS permission setup is required.
A single-folder workspace also means core.newTerminal won't pop the folder
picker (which automation can't click) — it resolves the lone folder directly.
Reading evidence without a screenshot — for structure/counts, an inline eval
in the same block is cheaper than a picture: document.querySelectorAll('.xterm').length
(terminal count), [...document.querySelectorAll('.dv-tab')].map(t=>t.textContent)
(open tabs), document.body.innerText.includes('Session ended') (spawn failure).
WebGL caveat: terminals render to a canvas (WebGL addon) — .xterm has
no DOM text, so to read what a shell printed you need a screenshot, not
textContent.
Op catalog
exec runs a registered command (the real ctx path); eval runs JS in the
webview global scope (note: app modules like store are not in scope — use
the dedicated ops for state). The full, authoritative list is the switch (op)
in apps/desktop/src/automation/bridge.ts — read it when in doubt; this table
mirrors it. eval is the escape hatch, but for Monaco state prefer the dedicated
editor ops below — monaco is not a page global, so eval can't reach it.
Core / liveness
| Op | Args | Returns / use |
|---|---|---|
ping | — | pong — liveness |
exec | command | run a command id (menu/keybinding dispatch) → {ran} |
eval | expr | evaluate JS in the page; awaits a returned promise |
screenshot | — | host-side window capture → {png_base64,width,height} |
Workspaces / panels (sandbox only — never point at real workspaces)
| Op | Args | Returns / use |
|---|---|---|
listWorkspaces | — | {active, workspaces[{id,name,folder}]} |
openWorkspace | folder,name | create + activate (use a temp dir) → {id} |
activateWorkspace | id | switch active → {active} |
addFolder | id,folder | attach a folder, bypassing the native OS picker ("Add Folder…" in Workspace Properties) → {extraFolders} |
deleteWorkspace | id | reap terminals + remove → {deleted,active} |
splitActivePanel | position? (l/r/top/bottom) | split center group → {groups} |
activatePanel | panelId | focus a dock panel → {activated} |
showSidePanel | id | expand slot + activate its tab → {shown,slot} |
Editors / terminals
| Op | Args | Returns / use |
|---|---|---|
openFile | path | open an editor tab → {editorId,panelId} |
openDiff | path,providerId,args?,title?,preview? | open a diff tab via a content provider → {diffId,panelId} |
listEditors | workspaceId? | {previewEditorId, editors[{id,filePath,title,isPreview,mode,providerId}]} |
openTerminal | cwd? | ctx.terminals.create → {terminalId,panelId} |
| `listTerminals |
Content truncated.
When not to use it
- →When verifying a change that does not involve running the real app
- →When the verification does not require observing the app's GUI
- →When the app is not a Tauri desktop app with a dev-only RPC bridge
Limitations
- →Requires the Silo app to be a dev build with `--features automation`.
- →Verification must occur in a sandbox workspace, not the user's real workspaces.
- →RPC `eval` operations have a hard 5-second reply timeout.
How it compares
This skill provides a programmatic and sandboxed way to interact with and verify the Silo GUI, ensuring state safety and repeatable testing, unlike manual interaction or non-GUI-based verification.
Compared to similar skills
verifier-gui side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| verifier-gui (this skill) | 0 | 15d | Review | Advanced |
| wp-testing-core | 6 | 8mo | Review | Intermediate |
| bats-testing-patterns | 2 | 2mo | Review | Intermediate |
| orchardcore-tester | 1 | 5mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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