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FieldFix
作者
blueprintstudioco
· GitHub ↗
· v1.0.0
1994
总下载
1
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0
当前安装
1
版本数
在 OpenClaw 中安装
/install fieldfix
功能描述
Query and manage your heavy equipment fleet through FieldFix's API. Track machines, log maintenance, monitor expenses, and get AI diagnostics.
使用说明 (SKILL.md)
FieldFix Skill
Query and manage your heavy equipment fleet through FieldFix's Agent API.
Setup
- Get your API key from FieldFix Settings
- Set environment variable:
export FIELDFIX_API_KEY=ff_sk_live_your_key_here
Pricing
API access is included with all paid plans:
- $10/machine/month (1-25 machines)
- $7/machine/month (26-100 machines)
- $5/machine/month (100+ machines)
- 2 months free trial — no credit card required
Capabilities
Read Operations
List all machines:
node scripts/fieldfix.js machines
Get machine details:
node scripts/fieldfix.js machine \x3Cid>
Get machine expenses:
node scripts/fieldfix.js expenses \x3Cid>
Get service history:
node scripts/fieldfix.js service \x3Cid>
Get fleet alerts:
node scripts/fieldfix.js alerts
Write Operations
Log a service entry:
node scripts/fieldfix.js log-service \x3Cid> "Oil Change" 120 "Changed oil and filter"
Log an expense:
node scripts/fieldfix.js log-expense \x3Cid> fuel 250 "Filled tank"
Update hour meter:
node scripts/fieldfix.js update-hours \x3Cid> 1250
Example Prompts
Once configured, try asking your agent:
- "What machines do I have in FieldFix?"
- "When is my CAT 299 due for service?"
- "How much have I spent on fuel this month?"
- "Log an oil change on the excavator for $120"
- "What's the total cost per hour for my skid steer?"
API Endpoints
| Endpoint | Method | Description |
|---|---|---|
/machines |
GET | List all machines |
/machines/{id} |
GET | Get machine details |
/machines/{id}/expenses |
GET | Get expense history |
/machines/{id}/service |
GET | Get service history |
/alerts |
GET | Get fleet alerts |
/machines/{id}/service |
POST | Log service entry |
/machines/{id}/expenses |
POST | Log expense |
/machines/{id}/hours |
POST | Update hours |
Links
安全使用建议
This skill's code and instructions look like a legitimate CLI wrapper for the FieldFix API, but the registry metadata is inconsistent: it fails to declare the required FIELDFIX_API_KEY env var and the Node runtime requirement. Before installing, verify the publisher (check the GitHub repo and homepage linked in package.json), ensure you trust the FieldFix service, and only provide an API key created in your FieldFix account. Install and run the script in an isolated environment (or container) if you want to limit blast radius. Ask the skill author or registry maintainer to correct the metadata (declare FIELDFIX_API_KEY and node >=18) so automation and security reviewers can reason about it more easily.
功能分析
Type: OpenClaw Skill
Name: fieldfix
Version: 1.0.0
The OpenClaw skill bundle for FieldFix is benign. The `scripts/fieldfix.js` script interacts solely with the `https://app.fieldfix.ai/api/v1` endpoint, consistent with its stated purpose of managing heavy equipment fleets. It securely retrieves the API key from the `FIELDFIX_API_KEY` environment variable and performs only the read/write operations described in `SKILL.md`. There is no evidence of data exfiltration, malicious execution, persistence, prompt injection attempts against the agent, or obfuscation.
能力评估
Purpose & Capability
Name, description, SKILL.md, package.json homepage, and the script all consistently target FieldFix's API (app.fieldfix.ai). The operations (list machines, log service/expense, update hours) align with the stated purpose.
Instruction Scope
SKILL.md and scripts only instruct running the bundled Node CLI which calls the FieldFix API endpoints. The instructions do not ask the agent to read unrelated files, access unrelated services, or transmit data to unknown endpoints.
Install Mechanism
There is no install spec (instruction-only), which is low risk, but the package includes package.json and a Node script. The registry metadata does not declare Node as a required binary even though package.json lists engines.node >=18 and SKILL.md assumes 'node' is available. That metadata omission is an incoherence that could mislead users or automation about runtime requirements.
Credentials
The script requires an API key via process.env.FIELDFIX_API_KEY and SKILL.md instructs users to export FIELDFIX_API_KEY, which is appropriate for the API. However, the registry metadata claims 'Required env vars: none' and 'Primary credential: none' — this mismatch is a notable inconsistency that should be corrected. The key requested is proportional to purpose, but the metadata omission reduces trust.
Persistence & Privilege
The skill does not request persistent or elevated privileges; always is false and there are no config paths or system-wide changes. Autonomous invocation is allowed (default) but is not combined with other high-risk factors here.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install fieldfix - 安装完成后，直接呼叫该 Skill 的名称或使用
/fieldfix触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
- Initial release of the FieldFix skill.
- Query and manage your heavy equipment fleet using FieldFix’s API.
- Track machines, log service entries and expenses, monitor service history and alerts.
- Simple CLI examples and API endpoints provided for both read and write operations.
- API access included with all paid plans; two months free trial available.
元数据
常见问题
FieldFix 是什么？
Query and manage your heavy equipment fleet through FieldFix's API. Track machines, log maintenance, monitor expenses, and get AI diagnostics. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 1994 次。
如何安装 FieldFix？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install fieldfix」即可一键安装，无需额外配置。
FieldFix 是免费的吗？
是的，FieldFix 完全免费（开源免费），可自由下载、安装和使用。
FieldFix 支持哪些平台？
FieldFix 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 FieldFix？
由 blueprintstudioco（@blueprintstudioco）开发并维护，当前版本 v1.0.0。
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