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aronjanosch

sparky

作者 aronjanosch · GitHub ↗ · v0.3.1 · MIT-0
cross-platform ⚠ suspicious
170
总下载
0
收藏
0
当前安装
3
版本数
在 OpenClaw 中安装
/install sparky
功能描述
SparkyFitness CLI for food diary, exercise tracking, biometric check-ins, and health summaries.
安全使用建议
This skill is mostly coherent for controlling a local 'sparky' CLI, but verify provenance before installing or running any downloaded binary. Specifically: - Confirm which GitHub project/release is authoritative — SKILL.md references aronjanosch/sparky-cli while registry metadata points at CodeWithCJ; ask the publisher or check the linked repos to ensure you download the intended project. - If you install a prebuilt binary, verify checksums/signatures from the official release page and prefer building from source if you can audit it. - The examples use tools like jq, git, go, brew and sudo; ensure those tools are present and trustworthy on your system. - The CLI will ask you to set a server URL and API key (sparky config set-url / set-key). Treat those values as sensitive: only provide them to a server you control or trust. - Because this is an instruction-only skill, the platform won’t install code itself — the primary risk is running an unfamiliar binary locally. If you’re unsure, run the binary in a sandbox or inspect/build from source before use. If you can provide the exact repository you expect this skill to reference (or the publisher confirm the correct homepage), I can re-evaluate with higher confidence.
功能分析
Type: OpenClaw Skill Name: sparky Version: 0.3.1 The skill provides a legitimate interface for the SparkyFitness CLI, allowing an agent to log food, exercise, and biometrics to a self-hosted server. The instructions in SKILL.md are well-documented, focusing on functional usage and agentic precision (e.g., using JSON flags and IDs), with no evidence of malicious intent, data exfiltration, or prompt injection.
能力评估
Purpose & Capability
The skill claims to be a SparkyFitness CLI and the instructions focus on using a local 'sparky' binary to talk to a self-hosted server — that is coherent. However the registry metadata lists homepage https://github.com/CodeWithCJ/SparkyFitness while the SKILL.md references aronjanosch/sparky-cli (brew tap, releases). This source/homepage mismatch is unexplained and could indicate a packaging or provenance problem.
Instruction Scope
SKILL.md contains detailed CLI usage and agentic workflows that stay within the stated purpose (searching/logging food, exercise, check-ins). A few examples reference other tools (jq, git, go, sudo, brew) for install or JSON parsing, but those binaries are not declared in the skill metadata — this is a minor mismatch but not obviously malicious. The instructions do not ask the agent to read unrelated files or environment variables.
Install Mechanism
This is an instruction-only skill (no install spec) so nothing is installed by the platform itself. The SKILL.md mentions installing prebuilt binaries or building from source using GitHub releases/Go; these are standard but require the user to verify release authenticity (checksums/signatures) because binaries will be placed on disk.
Credentials
The skill declares no required environment variables or credentials. That aligns with the README-style instructions which show the CLI storing a URL/key via 'sparky config'. Be aware that the CLI itself will ask for a server URL and API key (entered by the user) — those secrets are not requested by the skill metadata but will be used by the binary at runtime.
Persistence & Privilege
always:false and model invocation is allowed (defaults). The skill does not request elevated persistence or modify other skills. It's an agent-invocable helper that runs local CLI commands — typical for this class of skill.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install sparky
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /sparky 触发
  4. 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
v0.3.1
v0.3.1: Add food create command (custom foods with full macro/nutrient support, --serving-size/unit, --brand); fix food remove to use UUID instead of external_id; add exercise --notes flag; various bugfixes
v0.3.0
v0.3.0: Add --barcode lookup, --pick N selector, food remove command, brand column in search, --id flag for unambiguous logging, --external search flag, sets/reps/weight/RPE for exercise, is_local field in search results
v1.0.0
Initial release
元数据
Slug sparky
版本 0.3.1
许可证 MIT-0
累计安装 1
当前安装数 0
历史版本数 3
常见问题

sparky 是什么?

SparkyFitness CLI for food diary, exercise tracking, biometric check-ins, and health summaries. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 170 次。

如何安装 sparky?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install sparky」即可一键安装,无需额外配置。

sparky 是免费的吗?

是的,sparky 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

sparky 支持哪些平台?

sparky 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 sparky?

由 aronjanosch(@aronjanosch)开发并维护,当前版本 v0.3.1。

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