← 返回 Skills 市场
andaltan

Threshold Keel

作者 Threshold Signalworks · GitHub ↗ · v0.2.7 · MIT-0
cross-platform ✓ 安全检测通过
167
总下载
2
收藏
0
当前安装
3
版本数
在 OpenClaw 中安装
/install threshold-keel
功能描述
Safety guardrails for autonomous agents. Intercepts destructive actions, requires structured approval before irreversible operations, with CLI-backed cryptog...
安全使用建议
This skill is internally consistent with a safety/approval tool, but take two precautions before installing or enabling it fully: (1) If you want durable cryptographic audit trails, the skill directs you to `pip install threshold-keel` — verify the package (PyPI listing, checksum, project homepage/repository and maintainer) before running pip, since pip installs execute third-party code. Consider using a virtual environment or sandbox to evaluate the CLI. (2) Only set KEEL_CLOUD_API_KEY if you trust Threshold Cloud and understand that WAL/events and policies will be synced to their service. If you prefer behavioural-only protection, use the instructions-only mode (do not run `keel init` or create ~/.keel) and be aware that this relies on the agent following the SKILL.md rules rather than having an enforceable local audit trail.
功能分析
Type: OpenClaw Skill Name: threshold-keel Version: 0.2.7 The threshold-keel skill is a comprehensive safety guardrail system designed to prevent autonomous agents from performing unintended or destructive actions. It implements a tiered risk model (T0-T3), requires structured human approval for irreversible operations, and maintains a cryptographic audit trail (Write-Ahead Log) via a local CLI or optional cloud sync. The instructions in SKILL.md are highly security-conscious, including specific mitigations against shell injection (preferring file-based inputs over inline JSON) and a 'Skill Vetting' rule to protect the agent from malicious third-party plugins. No evidence of data exfiltration, unauthorized execution, or malicious intent was found.
能力评估
Purpose & Capability
Name and description describe a guardrail/audit tool; the SKILL.md consistently describes classifying actions, requiring approvals, and optionally delegating durable state to a `keel` CLI. The declared binaries (python3, pip3) and optional KEEL_CLOUD_API_KEY are appropriate for a CLI distributed via pip. Minor inconsistency: the registry metadata indicates no install spec, but the skill's embedded metadata and prose recommend installing a pip package (`threshold-keel`).
Instruction Scope
Instructions focus on classifying and gating state-changing actions, using the CLI when present, and keeping state durable only via the CLI. The file- and path-level references (e.g., suggested /tmp action JSON, warning about ~/.keel files) are within scope for a policy/approval tool. The skill assumes the agent has access to user resources (email, files, calendar, messaging) — that is a capability assumption but aligned with the stated purpose of intercepting actions across those channels.
Install Mechanism
The registry has no install spec, but the SKILL.md recommends installing a pip package named `threshold-keel` and using the `keel` CLI. Installing a third-party pip package is a normal delivery mechanism for a CLI, but it means arbitrary code will run on the host. The platform did not provide a vetted install spec; users should verify the package origin (PyPI/project homepage) before installing.
Credentials
The only environment variable required is an optional KEEL_CLOUD_API_KEY (for cloud sync). No unrelated secrets or multiple unrelated credentials are requested. This is proportionate to the described CLI+Cloud feature.
Persistence & Privilege
The skill does not request always:true, does not demand persistent installation, and explicitly differentiates 'instructions only' (no durable state) from CLI-managed durable state. Normal autonomous invocation is allowed by default; this combined with the optional cloud sync is expected for this kind of tool.
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 threshold-keel
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /threshold-keel 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
v0.2.7
- Changed Python package installer from "uv" to "pip" in the install metadata. - No other changes detected; skill behavior and documentation remain the same.
v0.2.6
threshold-keel 0.2.6 - Clarified that agent should not create or manage state files (e.g. ~/.keel/) directly in instructions mode; only the CLI manages durable state. - Updated documentation to emphasize that instructions mode is a behavioural safety layer with session-only tracking, not a persistent audit system. - Updated homepage link to a new canonical URL. - Improved description to highlight CLI-backed cryptographic audit trails and policy enforcement. - Removed advice to create local state files in instructions mode, preventing incompatibility with CLI usage.
v0.2.5
- Added detailed SKILL.md documentation outlining Keel’s risk tiers, execution modes, core safety rules, and approval workflows for autonomous agents. - Introduced classification and handling requirements for all actions (T0–T3), including strict structured approval rules for destructive operations. - Described three execution modes: instructions only, local CLI, and CLI with cloud sync. - Specified CLI usage for logging, policy evaluation, audits, and quarantine management. - Clarified quarantine-first policy for deletions, batch approval limits, and mandatory user previews for irreversible actions.
元数据
Slug threshold-keel
版本 0.2.7
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 3
常见问题

Threshold Keel 是什么?

Safety guardrails for autonomous agents. Intercepts destructive actions, requires structured approval before irreversible operations, with CLI-backed cryptog... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 167 次。

如何安装 Threshold Keel?

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

Threshold Keel 是免费的吗?

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

Threshold Keel 支持哪些平台?

Threshold Keel 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 Threshold Keel?

由 Threshold Signalworks(@andaltan)开发并维护,当前版本 v0.2.7。

💬 留言讨论