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Parallel Enrichment

作者 NormallyGaussian · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
1661
总下载
0
收藏
2
当前安装
1
版本数
在 OpenClaw 中安装
/install parallel-enrichment
功能描述
Bulk data enrichment via Parallel API. Adds web-sourced fields (CEO names, funding, contact info) to lists of companies, people, or products. Use for enriching CSV files or inline data.
安全使用建议
Before installing or using this skill: (1) Verify you have parallel-cli installed and know how it is authenticated—ask the skill author whether an API key (e.g., PARALLEL_API_KEY) or CLI login is required and where that credential is stored. (2) Treat the absence of declared binaries/credentials as a red flag: do not assume the skill is self-contained. (3) Run the CLI locally on a small non-sensitive dataset first to confirm behavior (what is sent to the network, monitoring URLs, and output format). (4) Be cautious about file paths: the skill instructs spawning sub-agents to read files—ensure those tools only access intended files and that no sensitive files are in the same directories. (5) If you need higher assurance, ask the publisher for provenance (author identity, source repo or install instructions) or prefer an officially published integration from Parallel.ai that documents auth and installation.
功能分析
Type: OpenClaw Skill Name: parallel-enrichment Version: 1.0.0 The skill is classified as suspicious primarily due to the `curl -fsSL https://parallel.ai/install.sh | bash` command in `SKILL.md` for installing its CLI. While this is a common installation method, it is a significant security risk as it executes arbitrary remote code directly, making it vulnerable to supply chain attacks if the `parallel.ai` server or the `install.sh` script were compromised. Additionally, the skill involves reading and writing local files (e.g., CSVs) and uses `sessions_spawn` to process temporary files, granting file system access, which, while necessary for its stated purpose, adds to the overall risk profile.
能力评估
Purpose & Capability
The skill's stated purpose is to call the Parallel API via a CLI (parallel-cli) to enrich data. However, the registry metadata declares no required binaries and no credentials. A data-enrichment tool that talks to an external API normally requires: (a) the parallel-cli binary (or an install step) and (b) an API key or login. The absence of those declarations is inconsistent with the claimed purpose.
Instruction Scope
SKILL.md instructs the agent to read input CSVs, write output CSVs, preview rows (e.g., head -6), and to spawn sessions_spawn sub-agents to read and summarize output files. Those actions are within the expected scope for enrichment, but the guidance gives the agent the ability to read arbitrary file paths if misused—so confirm the agent's file-access boundaries and that spawned sessions only read expected files.
Install Mechanism
There is no install spec (instruction-only), which reduces direct install risk. However, the instructions assume the presence of 'parallel-cli' on PATH without declaring it as a required binary or providing install steps; this is an omission that affects reproducibility and security review.
Credentials
No environment variables or primary credential are declared. In practice, communicating with Parallel.ai typically requires authentication (API key or CLI login). The SKILL.md does not document how auth is provided (env var, config file, or interactive login), so required secrets could be hidden in platform config or left undocumented—this mismatch is important to resolve before use.
Persistence & Privilege
The skill does not request persistent installation, does not set always:true, and has no install-time hooks. Autonomous invocation is allowed (platform default). The main persistence concern is that instructions encourage writing files (target CSVs) and spawning sessions to read them—normal for the task but verify where outputs and any cached credentials are stored.
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 parallel-enrichment
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /parallel-enrichment 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
v1.0.0
Initial release
元数据
Slug parallel-enrichment
版本 1.0.0
许可证
累计安装 2
当前安装数 2
历史版本数 1
常见问题

Parallel Enrichment 是什么?

Bulk data enrichment via Parallel API. Adds web-sourced fields (CEO names, funding, contact info) to lists of companies, people, or products. Use for enriching CSV files or inline data. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1661 次。

如何安装 Parallel Enrichment?

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

Parallel Enrichment 是免费的吗?

是的,Parallel Enrichment 完全免费(开源免费),可自由下载、安装和使用。

Parallel Enrichment 支持哪些平台?

Parallel Enrichment 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 Parallel Enrichment?

由 NormallyGaussian(@normallygaussian)开发并维护,当前版本 v1.0.0。

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