Borrowing it
Nothing to install: this file belongs to fusebase-dev/fusebase-flow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/fusebase-dev/fusebase-flow/main/.agents/skills/fusebase-dashboards/SKILL.mdgit clone --depth 1 https://github.com/fusebase-dev/fusebase-flowWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/fusebase-dev/fusebase-flow/fusebase-dashboards)<a href="https://agentmods.dev/skills/fusebase-dev/fusebase-flow/fusebase-dashboards"><img src="https://agentmods.dev/badge/skills/fusebase-dev/fusebase-flow/fusebase-dashboards/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/fusebase-dev/fusebase-flow/fusebase-dashboards"><img src="https://agentmods.dev/badge/skills/fusebase-dev/fusebase-flow/fusebase-dashboards.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 16 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00110 | $0.05006 |
| Opus 5.5 | $0.00044 | $0.02002 |
| Sonnet 5.5 | $0.00022 | $0.01001 |
| Haiku 4.5 | $0.00011 | $0.00501 |
Grade A, and why
fusebase-dashboards scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- fusebase-dashboards — 88% identical, 25 lines differ
How it starts
The opening of the file, as written. The whole thing — 368 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FuseBase Project Dashboards MCP Skill
This document describes how to use MCP (Model Context Protocol) for working with FuseBase Project Dashboards during LLM development. MCP is used for discovery and execution from the LLM; the SDK is used only in runtime code (feature/browser). See the Fusebase Dashboards SDK skill for SDK usage.
For rules and checklists, see AGENTS.md.
- For runtime SDK code that reads or writes dashboard data (
getDashboardViewData,batchPutDashboardData, etc.),references/data-patterns.mdis required — it defines the real response/request shapes; use it together withsdk_describe(do not inferdata.rowsvs top-leveldatafrom memory). - Default-path rule — this skill is for existing dashboard surfaces and explicitly dashboard-oriented tasks. It is not the default storage-planning skill for new app-owned structured data. Do not ask the user to choose between PostgreSQL and a new dashboard/database unless the user explicitly requested dashboards or the project is extending an existing dashboard surface.
References
Each reference is in a separate file under references/. Load the file when you need that topic.
meta
core
specialized
- Child Tables
- Dashboard Relations
- Dashboard Rows
- Dashboard View Filters
- Dashboard View Representations
- Members (system dashboard)
Managed database routing (Companies, Deals, Meetings)
System managed dashboards (Companies, Deals, Meetings) are first-class product surfaces — same category as Workspaces, Portals, Clients. They live in managed databases with fixed template aliases (not org-specific UUIDs from URLs). Technically rootEntity: custom; do not treat them as arbitrary user-created custom tables.
What ships with it
13 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/authz.md 2.4 KB
- references/bootstrap.md 4.7 KB
- references/child-tables.md 6.9 KB
- references/core-concepts.md 13 KB
- references/data-patterns.md 39 KB
- references/filters.md 5.8 KB
- references/members.md 2.6 KB
- references/relations-guide.md 13 KB
- references/representations.md 3.4 KB
- references/rows.md 4.5 KB
- references/schema-fundamentals.md 29 KB
- references/sdk.md 8.6 KB
- references/tooling.md 6.1 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 368 lines · 110 tokens per session scan A c56aa57e9fb9
fusebase-dashboards is a skill published in the GitHub repository fusebase-dev/fusebase-flow (9 stars, last pushed 13d ago), licensed MIT. It adds 110 tokens to every session and 5,006 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
fusebase-dashboards compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| fusebase-dashboardsfusebase-dev/fusebase-flow | Skill | 9 | 13d ago | MIT | A | 110 | Claude Code |
| adobe-express-coreSandgrouse/adobe-express-dev-skill | Skill | 9 | 2mo ago | none | A | 50 | Claude Code, Codex |
| adobe-express-monetizationSandgrouse/adobe-express-dev-skill | Skill | 9 | 2mo ago | none | A | 44 | Claude Code, Codex |
| adobe-express-spectrum-ui-uxSandgrouse/adobe-express-dev-skill | Skill | 9 | 2mo ago | none | A | 70 | Claude Code, Codex |
| adobe-express-cors-and-backendSandgrouse/adobe-express-dev-skill | Skill | 9 | 2mo ago | none | A | 92 | Claude Code, Codex |
| adobe-express-document-manipulationSandgrouse/adobe-express-dev-skill | Skill | 9 | 2mo ago | none | A | 43 | Claude Code, Codex |
| adobe-express-oauth-authenticationSandgrouse/adobe-express-dev-skill | Skill | 9 | 2mo ago | none | A | 50 | Claude Code, Codex |