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Parallel
作者
Matt Van Horn
· GitHub ↗
· v1.2.1
2479
总下载
3
收藏
10
当前安装
11
版本数
在 OpenClaw 中安装
/install parallel
功能描述
High-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations. Supports agentic mode for token-efficien...
安全使用建议
This skill appears to implement a legitimate Parallel.ai client, but there are a few red flags to review before installing:
- Inspect and remove the hard-coded API key in scripts/search.py. A hard-coded fallback means the skill may run using a credential you don't control; this can incur costs or leak usage to someone else. Replace it with strict failure when PARALLEL_API_KEY is missing or document an explicit demo key policy.
- Be aware of optional env vars not declared in the registry (BROWSERUSE_API_KEY, PARALLEL_MAX_WAIT). If you provide BROWSERUSE_API_KEY, the skill will forward it to an external MCP endpoint (browser-use.com) for authenticated browsing — that enables access to gated pages but also means sensitive page contents or credentials may be shared with that third party.
- Monitor webhooks and callbacks: monitor.create accepts a webhook URL that the Parallel service will call. Do not configure untrusted webhook URLs, since monitors may send content or alerts to those endpoints.
- Verify the pip package 'parallel-web' and the upstream Parallel.ai service before supplying your API key. Check account usage/quotas after first use.
- If you install: (1) remove or rotate any embedded keys, (2) run scripts in an isolated environment, and (3) prefer providing your own PARALLEL_API_KEY and avoid supplying optional third-party browsing keys or webhooks unless you trust those endpoints.
Given these inconsistencies and the embedded key, I recommend manual code review and remediation before enabling this skill for production use.
功能分析
Type: OpenClaw Skill
Name: parallel
Version: 1.2.1
The skill bundle provides a functional interface for the Parallel.ai API but contains a hardcoded API key in `scripts/search.py`, which is a significant security vulnerability and credential leak. Additionally, `scripts/task.py` includes support for authenticated web browsing via a third-party service (browser-use.com), a high-privilege capability that increases the potential impact of misuse, although it is documented as a feature for deep research.
能力评估
Purpose & Capability
Name/description match the files and runtime instructions: the scripts call Parallel.ai search, extract, findall, monitor, task, and task-run endpoints. Required PARALLEL_API_KEY is appropriate for this purpose.
Instruction Scope
Most instructions stay within the declared purpose (calls to Parallel.ai). However the skill accepts webhook URLs (monitor.create) and allows passing 'mcp_servers' for authenticated browsing (task.py), which cause data or credentials to be sent to third parties. search.py falls back to a hard-coded API key if PARALLEL_API_KEY is not set (inconsistent with other scripts that exit), which means the skill can operate under an embedded credential you did not provide.
Install Mechanism
This is instruction-only (no install spec that downloads arbitrary archives). It uses Python scripts and recommends 'pip install parallel-web' which is a normal package install; no unusual installers or remote extracts are present.
Credentials
Declared primaryEnv is only PARALLEL_API_KEY which is appropriate. But the code optionally uses other env vars not declared in metadata (BROWSERUSE_API_KEY for authenticated browsing, PARALLEL_MAX_WAIT) and search.py contains a hard-coded fallback API key string. Requiring or using extra credentials without declaring them and embedding an API key are disproportionate and risky.
Persistence & Privilege
The skill does not request always:true, does not modify other skills, and contains no code that persists itself into global agent config. Autonomous invocation is allowed (default) but not combined with other high privileges.
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 parallel - 安装完成后,直接呼叫该 Skill 的名称或使用
/parallel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
v1.2.1
Fix display name (remove Clawdbot prefix)
v1.2.0
Rebrand: clawdbot → openclaw in metadata key and prose references.
v1.1.0
Republish after ClawHavoc moderation sweep. Updated descriptions, Grok-4/API 2026 notes, author/license/repository metadata.
v1.0.7
Version 1.0.7 (no file changes detected)
- No changes were made in this release; SKILL.md remains unchanged.
- No updates to functionality, documentation, or dependencies.
v1.0.6
- Updated requirements in metadata: now lists `curl` and `jq` as required binaries, and removes `BROWSERUSE_API_KEY` as a required environment variable by default.
- Clarified that `BROWSERUSE_API_KEY` is only needed for authenticated sources and is optional for basic usage.
- Minor improvements to documentation for setup and environment variable configuration.
- No changes to core workflow or usage.
v1.0.5
- Added explicit setup instructions with required Python packages (`parallel-sdk`, `requests`) and environment variable setup.
- Clarified which APIs and scripts use which Python packages.
- Strengthened security and permissions section to specify allowed endpoints and clarify what is not accessed.
- Updated instructions and formatting for clarity and quick start.
- Removed benchmark comparisons and language claiming outperformance of other products.
v1.0.4
Declare BROWSERUSE_API_KEY in requires.env to resolve undeclared credential flag
v1.0.3
Fix metadata key: use clawdbot namespace for registry recognition
v1.0.2
Fix security scan: add openclaw metadata, declare PARALLEL_API_KEY, remove hardcoded key, add Security section
v1.0.1
Updated description - removed competitor callouts
v1.0.0
Initial release: High-accuracy web search via Parallel.ai API with Search, Extract, and Task APIs
元数据
常见问题
Parallel 是什么?
High-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations. Supports agentic mode for token-efficien... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 2479 次。
如何安装 Parallel?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install parallel」即可一键安装,无需额外配置。
Parallel 是免费的吗?
是的,Parallel 完全免费(开源免费),可自由下载、安装和使用。
Parallel 支持哪些平台?
Parallel 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?
由 Matt Van Horn(@mvanhorn)开发并维护,当前版本 v1.2.1。
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