Dashboard ManagementCAUTION
A framework for building agentic apps
Overview
A framework for building agentic apps
5977febf67f1OBSERVED · 2026-10-14What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: dashboard-management description: >- Create, lay out, organize, or share Analytics dashboards and panels: sources, placement, folders, verification. Use to create a dashboard or to move, reorder, or lay out panels; a small edit of one existing panel needs no skill. --- # Dashboard Management Dashboards are the canonical SQL-backed Analytics resources. New dashboards, saved analyses, reports, and bespoke extensions are represented as dashboard artifacts—not as separate user-facing Analytics objects. Legacy analysis tables and actions remain available only for compatibility. ## Storage Current storage: | Table | Purpose | | ------------------ | -------------------------------------------- | | `dashboards` | Explorer and SQL dashboard records | | `dashboard_folders` | Personal and shared SQL dashboard folders | | `dashboard_views` | Saved filter presets per dashboard | | `dashboard_shares` | Standard framework share grants | | `dashboard_folder_shares` | Standard folder share grants | | `dashboard_revisions` | Bounded dashboard history snapshots | | `analyses` | Saved ad-hoc analysis records | | `analysis_revisions` | Bounded analysis history snapshots | | `analysis_shares` | Standard framework share grants for analyses | Legacy settings keys such as `u:<email>:dashboard-*`, `u:<email>:sql-dashboard-*`, `o:<orgId>:sql-dashboard-*`, and `adhoc-analysis-*` are still read as a fallback and copied into SQL on access. Do not create new dashboard settings rows. ## Dashboard folders Dashboard folders are SQL-backed, access-scoped containers for organizing SQL dashboards from `/dashboards`: - `personal` folders are private to their owner. - `shared` folders are organization-visible and require an active organization. - Use `list-dashboard-folders`, `create-dashboard-folder`, and `set-dashboard-folder` for folder reads and membership changes. - A folder never expands dashboard access. A personal folder can contain only an owned private dashboard; a shared folder can contain only an org-visible dashboard. Use the normal dashboard sharing actions separately. For organization-wide consolidation, use `migrate-analytics-artifacts` first with `dryRun: true`. The write requires an organization owner/admin and the exact confirmation token `MIGRATE_ANALYTICS_ARTIFACTS`. It materializes organization-scoped legacy settings, creates dashboard blocks for saved analyses and standalone extensions, archives exact duplicates, copies shares, and removes legacy settings keys only after SQL rows are materialized. Source rows remain recoverable. Private member-only rows are intentionally outside this organization-scoped operation. Use `mutate-dashboard` for existing dashboard edits. It resolves the current user/org context, validates the resulting config, writes the SQL-backed record, syncs collab, and returns a compact result with a `verified` flag. Use `update-dashboard` for new full-config saves, UI full-config saves, or explicitly requested low-level JSON-pointer edits. Every meaningful dashboard save snapshots the previous state into `dashboard_revisions`. Use `list-dashboard-revisions` to inspect available undo points and `restore-dashboard-revision` to restore one; restore snapshots the current state first, then syncs open dashboard editors. Saved analyses follow the same undo model with `analysis_revisions`, `list-analysis-revisions`, and `restore-analysis-revision`. Never use `db-patch`, raw SQL, or settings-key edits to create or modify a dashboard config. Those bypass the dashboard action's access checks, SQL validation, collab sync, and verification. If a dashboard action fails because the argument shape was wrong, fix that action's arguments and retry once — do not switch to db-patch or raw SQL. ### GitHub folder sync A linked folder mirrors its SQL dashboards to `<path>/<dashboardId>.json` in a GitHub repo. Read `docs/dashboard-github-folder-sync.md` before changing or explaining it. - Run `preview-dashboard-folder-github-sync` before any sync. It writes nothing. - `apply-dashboard-folder-github-sync` pulls from GitHub. It writes only the panels, order, and settings that changed on the GitHub side. - `export-dashboard-folder-to-github` opens one PR with the app's changes. It refuses while an earlier export PR is still open. - `configure-dashboard-folder-github-sync` links or unlinks a folder. It stores no credentials. - A unit changed on both sides is a conflict. It is reported and not applied. Do not resolve it by overwriting either side without asking the user. - Explorer dashboards, sharing, and deletions never sync. A synced dashboard cannot be permanently deleted; archive it or unlink its folder first. ## Valid Panel Sources `panel.source` is a backend selector, not a table name. It must be one of: | Source | Query shape | | ------------- | -------------------------------------------------------------------------------------------------------- | | `bigquery` | Literal warehouse SQL. Table names belong inside the SQL string. | | `ga4` | JSON descriptor for the Google Analytics Data API. | | `amplitude` | JSON descriptor for an Amplitude query. | | `first-party` | Read-only SQL over this template's `analytics_events` table, usually via `query-agent-native-analytics`. | Do not use `app-db` as a dashboard source. For first-party events collected through `/track`, use `source: "first-party"` or the `query-agent-native-analytics` action rather than raw internal `db-query`. AI-generated first-party panels are dashboard-time-bound by default. Set `config.time
Trust audit
CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | WARN |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (6)
.agents/skills/an
.agents/skills/content-product-development
.agents/skills/design-exploration
.agents/skills/turn-into-app
.agents/skills/visual-edit
Default the agent to archive when the user says "delete" / "remove" / "get rid of" a dashboard. Reach for hard delete only when the user explicitly says "permanently", "for good", or similar. List que
Gates applied: no_behavioural_pass.
5977febf67f1full audit observations/trust-audit/skill/builderio__dashboard-management.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-14 | 5977febf67f1 | CAUTION | B | 89 | first audit |
Questions
What does the Dashboard Management skill do?
A framework for building agentic apps
Is Dashboard Management safe to install?
With care. The audit graded it B (89/100) and found 6 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can Dashboard Management access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (5977febf67f1), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.
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