Exported functions in state/lib/xano-dashboard.ts. .md file to compare - side-by-side diff against xano-dashboard
xano-dashboard
description: "Triggers on prompt mention of 'xano-dashboard'."
What it does for you
Manages your business data through its admin screens.
What it produces
A recent result, so you can see the kind of work it returns.
loading…
How to get it
These run inside the Snappy workspace. Want this working in your business? I set skills like this up with you, in one focused week.
For developers how this skill is built, graded, and how it runs
at a glance- the short version
what's inside - the parts that make up a skill 3/4 present
A skill is just a few plain-text files. Only the main one is required. The rest are optional, added as the work needs them. This is what the skill is made of; how it runs is just below.
state/skills/xano-dashboard/SKILL.md
present
state/lib/xano-dashboard.ts
present
state/bin/xano-dashboard/
not present
state/skills/xano-dashboard/AGENTS.md
present
how it's graded - what counts as a good run 4 criteria · 4 judge
Each row is one thing a good run has to get right. deterministic means a quick check decides, pass or fail. judge means the AI reads the result and rates it. Grading each piece on its own (instead of one overall score) shows exactly where a run fell short, so the fix is obvious.
how it runs - the shared frame every skill uses 5/5 present
Every skill runs the same way. One part does the work, a separate part checks it, and a short loader hands the AI exactly what it needs for the job. Anything this skill doesn't use shows a one-line note saying why, on purpose, not by accident.
state/log/pending-eval.ndjson - ALWAYS prefer the Xano METADATA API (state/lib/xano.ts) over browser automation when the operation is available there — browser-driven is the fallback for things only the dashboard exposes
- Serialize browser calls — no parallel automation against a single dashboard session (memory: no_parallel_browser_writes)
- ALWAYS pair openDashboard() with closeDashboard() — leaked sessions accumulate and break subsequent runs
- For schema mutations, ROUTE to the typed state/lib/xano.ts (createTable, addField, createApi, etc.) — clicking through the dashboard for ops the metadata API supports is wasted budget and harder to verify
- Eval is manual (Robert review) — every run files to state/log/pending-eval.ndjson
what it has learned - fixes written back in over time sample
When a run hits something this skill didn't handle, the fix gets written back into the skill so it doesn't happen again. FIXED means it was corrected on the spot. LOGGED means it's queued for a bigger rewrite. Either way, the skill gets a little better and never makes the same mistake twice.
- Loading feedback rows…
how the work flows- who makes it, who checks it
SKILL.md- the skill, written out in plain English
xano-dashboard
Browser-driven Xano admin operations.
Ported from kernel snappy-xano-dashboard in Phase 0.5. See state/lib/xano-dashboard.ts for the full API surface.
Steps
openDashboard()- seestate/lib/xano-dashboard.tssnapshotDashboard()- seestate/lib/xano-dashboard.tsnavigateTo()- seestate/lib/xano-dashboard.tsrunApiTest()- seestate/lib/xano-dashboard.tsgetRequestLogs()- seestate/lib/xano-dashboard.tscloseDashboard()- seestate/lib/xano-dashboard.ts
Eval
Actor: the exported functions in state/lib/xano-dashboard.ts. Auditor: none wired yet - eval is manual (Robert review). File a state/log/pending-eval.ndjson row on each run.
Score convention:
| Outcome | Score |
|---|---|
| Pass on first try | 1.0 |
| Failed first, auto-fix applied, re-check passed | 0.5 |
| Still failing or unrecoverable | 0.0 |
Gotchas
via the Phase 0.5 driver. Only these rewrites were applied: already in state/lib/)
realpathSync(process.argv[1])CLI guard wrapped in try/catch
- See the kernel SKILL.md for the original long-form guidance if you need it
(read-only reference at the kernel path above).
Graduation
This skill is prose. Graduate by defining a deterministic auditor and flipping eval: auto.
Rubric
criteria:
- name: dashboard_opened_successfully
kind: judge
check: "The `openDashboard()` function should successfully open the Xano dashboard in the browser without errors."
- name: correct_navigation
kind: judge
check: "The `navigateTo()` function should correctly navigate to the specified Xano dashboard section or page."
- name: api_test_execution_status
kind: judge
check: "The `runApiTest()` function should execute the API test and return a clear indication of its success or failure."
- name: request_logs_content
kind: judge
check: "The `getRequestLogs()` function should retrieve and present relevant request logs from Xano, reflecting recent activity."AGENTS.md- what the AI loads when this skill comes up
xano-dashboard - loader
Per-turn rules for the xano-dashboard skill. Full reference: state/skills/xano-dashboard/SKILL.md. Do not skip these.
Critical Rules
- ALWAYS prefer the Xano METADATA API (
state/lib/xano.ts) over browser automation when the operation is available there - browser-driven is the fallback for things only the dashboard exposes - Serialize browser calls - no parallel automation against a single dashboard session (memory: no_parallel_browser_writes)
- ALWAYS pair
openDashboard()withcloseDashboard()- leaked sessions accumulate and break subsequent runs - For schema mutations, ROUTE to the typed
state/lib/xano.ts(createTable,addField,createApi, etc.) - clicking through the dashboard for ops the metadata API supports is wasted budget and harder to verify - Eval is manual (Robert review) - every run files to
state/log/pending-eval.ndjson
Commands
| ui dashboard | state/skills/xano-dashboard/resources/ui.openui | |library: state/lib/xano-dashboard.ts - openDashboard(), snapshotDashboard(), navigateTo(), runApiTest(), getRequestLogs(), closeDashboard() |metadata API: state/lib/xano.ts (preferred for schema/API ops) |eval log: state/log/pending-eval.ndjson (manual)
OpenUI Resource
- Skill-owned OpenUI Lang resource:
state/skills/xano-dashboard/resources/ui.openui. Read it before rendering or editing this skill's generated component surface. - Treat this resource as a first-class artifact of the skill, not a generic chat response. Improve it when the skill's user-facing output needs to become richer.
- System resources compose OpenUI primitives and inherit SnappyChat tokens. Use
ui_contract: brandedin SKILL.md only for deliberate platform or client visuals.
Known Pitfalls
- Reaching for the dashboard for a schema change that
state/lib/xano.tsalready supports duplicates infra and slows the run - Forgetting
closeDashboard()leaves the session resident and the next run collides
Self-Test
An agent reading this should correctly:
- [ ] Check
state/lib/xano.tsfor a metadata-API path before opening the dashboard? - [ ] Serialize all browser calls against a single dashboard session?
- [ ] Always close the dashboard at the end of the run?
Self-report
If this loader fell short, append a line:
echo "[$(date -u +%FT%TZ)] xano-dashboard: <what was missing>" >> state/log/loader-feedback.log
<!-- kernel-ok: historical attribution for the PID-loader pattern. -->
Self-correcting loader (PID feedback)
This is the rule that makes loaders learn. Ported from snappy-kernel, where it demonstrably worked: the snappy-dom-cartographer skill mapped Skool admin UI once, every later ship-agent inherited the full map for free.
Before you finish, do two things:
1. Fix gaps (P - proportional). MANDATORY. If this loader didn't cover your case - if you had to read another file, run an undocumented command, work around a wrong selector, or discover a quirk - you MUST attempt an Edit to this AGENTS.md before you log.
- Default action: edit this file. Surgical. Add the missing line, table
row, or code example where it belongs. No restructuring.
- Only
LOGGEDis allowed when: the fix needs >10 lines, spans multiple
files, or requires a structural rewrite. In that case the state/regen/drain.sh queue picks it up asynchronously.
- "I didn't have time" / "it's minor" / "the next agent will figure it out"
are NOT valid reasons. Minor gaps compound - that's the whole point of this loop.
- Concrete example of a valid P-fix: discover
agent-browser screenshot
takes path positionally not as --output <path>. One line in a table. Edit it in. Do not just log it.
- The goal: the next agent never has to leave the loader.
2. Log the result.
echo "[$(date -u +%FT%TZ)] xano-dashboard: <what was missing or fixed> [FIXED|LOGGED]" >> state/log/loader-feedback.log
FIXED= you patched this loader inline (P-fix).LOGGED= too large for inline; the PostToolUse enqueue + Stop-hook drain
will rewrite the loader from scratch on next session-end.
Do not skip this. Every agent run must leave the system better than it found it. The loader is the setpoint; you are the sensor; the gap is the error signal; closing the gap is the correction.
api.ts- the code it can call
#!/usr/bin/env npx tsx
/**
* snappy-xano-dashboard/api.ts -- Browser-driven Xano admin operations.
*
* Uses agent-browser for dashboard tasks the REST API cannot do:
* request logs, schema inspection, endpoint editing.
*
* Usage:
* npx tsx api.ts open
* npx tsx api.ts test /api:PB9UH7b9/contacts
*
* Or import as module:
* import { openDashboard, runApiTest } from "./xano-dashboard.ts";
*/
import { execSync } from "child_process";
import { env } from "./env.ts";
import { realpathSync } from "fs";
const XANO_URL = "https://xano.snappy.ai";
const AUTH_STATE = `${process.env.HOME}/.openclaw/workspace/xano-auth.json`;
const SESSION = process.env.AGENT_BROWSER_SESSION || `xano-${process.pid}-${Date.now()}`;
function browser(command: string): string {
return execSync(`agent-browser --session "${SESSION}" ${command}`, {
encoding: "utf-8",
timeout: 30_000,
}).trim();
}
/** Open the Xano dashboard with saved auth cookies. */
export function openDashboard(): string {
return browser(`--state ${AUTH_STATE} open "${XANO_URL}"`);
}
/** Take an interactive snapshotDashboard of the current dashboard page. */
export function snapshotDashboard(): string {
return browser("snapshotDashboard -i");
}
/** Navigate to a specific section of the dashboard. */
export function navigateTo(section: string): string {
return browser(`find text "${section}" click`);
}
/** Run a browser-based API test by navigating to the endpoint in the dashboard. */
export function runApiTest(endpoint: string): string {
// Open dashboard, navigate to API section, find endpoint
openDashboard();
browser("wait 2000");
// Navigate to the API group
const parts = endpoint.split("/");
const group = parts.find(p => p.startsWith("api:")) || "";
if (group) {
browser(`find text "API" click`);
browser("wait 1000");
browser(`snapshotDashboard -i`);
}
// Take a screenshot for verification
const screenshotPath = `/tmp/xano-test-${Date.now()}.png`;
browser(`screenshot ${screenshotPath}`);
return `Dashboard opened. Endpoint: ${endpoint}. Screenshot: ${screenshotPath}`;
}
/** Extract request logs from the dashboard (dashboard-only feature). */
export function getRequestLogs(): string {
openDashboard();
browser("wait 2000");
browser(`find text "Request History" click`);
browser("wait 2000");
return browser("snapshotDashboard -i");
}
/** Close the browser session. */
export function closeDashboard(): string {
return browser("closeDashboard");
}
// --- CLI ---
if ((() => { try { return import.meta.url === `file://${realpathSync(process.argv[1])}`; } catch { return false; } })()) {
(async () => {
const [, , cmd, ...args] = process.argv;
switch (cmd) {
case "open": {
console.log(openDashboard());
console.log(snapshotDashboard());
break;
}
case "test": {
const [endpoint] = args;
if (!endpoint) { console.error("Usage: api.ts test <endpoint>"); process.exit(1); }
console.log(runApiTest(endpoint));
break;
}
case "logs": {
console.log(getRequestLogs());
break;
}
case "closeDashboard": {
console.log(closeDashboard());
break;
}
default:
console.log("Usage: npx tsx api.ts [open|test|logs|closeDashboard] ...");
}
})();
}
scripts- helper scripts it can run
prose-only skill - 1 inline code block live in SKILL.md above (no state/bin/ sidecar yet).
how we check it- the checks, plus the last 10 runs
| timestamp | verb | score | primary_issue | artifact |
|---|---|---|---|---|
| 2026-04-25 04:11Z | - | 1.00 | - | - |
| 2026-04-21 15:59Z | - | 1.00 | - | - |
| 2026-04-21 15:57Z | - | 1.00 | - | - |
| 2026-04-21 03:53Z | - | 1.00 | - | - |
| 2026-04-25 04:11Z | - | 1.00 | - | - |
| 2026-04-21 15:59Z | - | 1.00 | - | - |
| 2026-04-21 15:57Z | - | 1.00 | - | - |
| 2026-04-21 03:53Z | - | 1.00 | - | - |
| 2026-04-25 04:11Z | - | 1.00 | - | - |
| 2026-04-21 15:59Z | - | 1.00 | - | - |