Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/pleaseai/claude-code-pluginsnpx agentmods add skills/pleaseai/claude-code-plugins/firebase-data-connectWrote 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/pleaseai/claude-code-plugins/firebase-data-connect)<a href="https://agentmods.dev/skills/pleaseai/claude-code-plugins/firebase-data-connect"><img src="https://agentmods.dev/badge/skills/pleaseai/claude-code-plugins/firebase-data-connect/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/pleaseai/claude-code-plugins/firebase-data-connect"><img src="https://agentmods.dev/badge/skills/pleaseai/claude-code-plugins/firebase-data-connect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00074 | $0.02033 |
| Opus 5.5 | $0.00030 | $0.00813 |
| Sonnet 5.5 | $0.00015 | $0.00407 |
| Haiku 4.5 | $0.00007 | $0.00203 |
Grade A, and why
firebase-data-connect 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 17d 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.
This is a copy
100% identical to firebase-data-connect — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Firebase SQL Connect
Firebase SQL Connect is a relational database service using Cloud SQL for PostgreSQL with GraphQL schema, auto-generated queries/mutations, and type-safe SDKs.
[!NOTE] Product Rename: Firebase Data Connect was renamed to Firebase SQL Connect. All instructions, references, and examples in this skill repository referring to "Data Connect" or "Firebase Data Connect" apply to "SQL Connect" and "Firebase SQL Connect" as well.
Project Structure
dataconnect/
├── dataconnect.yaml # Service configuration
├── seed_data.gql # LOCAL ONLY — prototype/test data
├── schema/
│ └── schema.gql # Data model (types with @table)
└── connector/
├── connector.yaml # Connector config + SDK generation
├── queries.gql # Queries
└── mutations.gql # Mutations
Key Tools for Validation
Rely on these two mechanisms to ensure project correctness:
- Review GraphQL Schema: Both user-defined and generated extensions (in
.dataconnect/schema/main/). - Validate Operations: Run
npx -y firebase-tools@latest dataconnect:compileagainst the schema.
Operation Strategies: GraphQL vs. Native SQL
Always default to Native GraphQL. Native SQL lacks type safety and bypasses schema-enforced structures. Only use Native SQL when the user explicitly requests it or when the task requires advanced database features.
| Strategy | When to use | Implementation |
|---|---|---|
| Native GraphQL (Default) | Almost all use cases. Standard CRUD, basic filtering/sorting, simple relational joins. Requires full type safety. | Auto-generated fields (movie_insert, movies). Strong typing and schema enforcement. |
| Native SQL (Advanced) | PostgreSQL extensions (e.g., PostGIS), window functions (RANK()), complex aggregations, or highly tuned sub-queries. |
Raw SQL string literals via _select, _execute, etc. Requires strict positional parameters ($1). No type safety. |
What ships with it
16 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.
- examples.md 15 KB
- reference/cloud_functions.md 6.0 KB
- reference/config.md 6.9 KB
- reference/data_seeding.md 5.8 KB
- reference/native_sql.md 6.9 KB
- reference/operations.md 11 KB
- reference/realtime.md 7.7 KB
- reference/schema.md 7.4 KB
- reference/sdk_admin_node.md 4.1 KB
- reference/sdk_android.md 3.7 KB
- reference/sdk_flutter.md 3.4 KB
- reference/sdk_ios.md 4.2 KB
- reference/sdk_web.md 4.8 KB
- reference/search.md 8.7 KB
- reference/security.md 8.8 KB
- templates.md 7.1 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.
- 17d ago Changed · +1 lines abe888f834b2
- 1mo ago First seen · 194 lines · 74 tokens per session scan A 861d849c6213
firebase-data-connect is a skill published in the GitHub repository pleaseai/claude-code-plugins (16 stars, last pushed 5d ago), licensed MIT. It adds 74 tokens to every session and 2,033 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to firebase-data-connect, differing in 1 line, and is treated as a copy.
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