Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/gemini-cli-extensions/firestore-native/firestore-datanpx skills add gemini-cli-extensions/firestore-native --skill firestore-datagit clone --depth 1 https://github.com/gemini-cli-extensions/firestore-nativeWhat 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 | $0.00030 | $0.02031 |
| Opus 5 | $0.00015 | $0.01015 |
| Sonnet 5 | $0.00006 | $0.00406 |
| Haiku 4.5 | $0.00003 | $0.00203 |
Grade A, and why
firestore-data 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 2d 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:
- firestore-data — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Usage
All scripts can be executed using Node.js. Replace <param_name> and <param_value> with actual values.
Bash:
node <skill_dir>/scripts/<script_name>.js '{"<param_name>": "<param_value>"}'
PowerShell:
node <skill_dir>/scripts/<script_name>.js '{\"<param_name>\": \"<param_value>\"}'
Note: The scripts automatically load the environment variables from various .env files. Do not ask the user to set vars unless skill executions fails due to env var absence.
Scripts
add_documents
Adds a new document to a Firestore collection. Please follow the best practices :
- Always use typed values in the documentData: Every field must be wrapped with its appropriate type indicator (e.g., {"stringValue": "text"})
- Integer values can be strings in the documentData: The tool accepts integer values as strings (e.g., {"integerValue": "1500"})
- Use returnData sparingly: Only set to true when you need to verify the exact data that was written
- Validate data before sending: Ensure your data matches Firestore's native JSON format
- Handle timestamps properly: Use RFC3339 format for timestamp strings
- Base64 encode binary data: Binary data must be base64 encoded in the bytesValue field
- Consider security rules: Ensure your Firestore security rules allow document creation in the target collection
Parameters
| Name | Type | Description | Required | Default |
|---|---|---|---|---|
| collectionPath | string | The relative path of the collection where the document will be added to (e.g., 'users' or 'users/userId/posts'). Note: This is a relative path, NOT an absolute path like 'projects/{project_id}/databases/{database_id}/documents/...' | Yes | |
| documentData | object | The document data in Firestore's native JSON format. Each field must be wrapped with a type indicator: |
- Strings: {"stringValue": "text"}
- Integers: {"integerValue": "123"} or {"integerValue": 123}
- Doubles: {"doubleValue": 123.45}
- Booleans: {"booleanValue": true}
- Timestamps: {"timestampValue": "2025-01-07T10:00:00Z"}
- GeoPoints: {"geoPointValue": {"latitude": 34.05, "longitude": -118.24}}
- Arrays: {"arrayValue": {"values": [{"stringValue": "item1"}, {"integerValue": "2"}]}}
- Maps: {"mapValue": {"fields": {"key1": {"stringValue": "value1"}, "key2": {"booleanValue": true}}}}
- Null: {"nullValue": null}
- Bytes: {"bytesValue": "base64EncodedString"}
- References: {"referenceValue": "collection/document"} | Yes | |
| returnData | boolean | If set to true the output will have the data of the created document. This flag if set to false will help avoid overloading the context of the agent. | No |
false|
What ships with it
6 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.
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.
- 2d ago First seen · 153 lines · 30 tokens per session scan A 9444fdb737f0
firestore-data is a skill published in the GitHub repository gemini-cli-extensions/firestore-native (30 stars, last pushed 5d ago), licensed Apache-2.0. It adds 30 tokens to every session and 2,031 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
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