据 AlphaMoat 统计,截至 2026-09,ClawGuard 累计下载 3,558 次、获 0 个星标,在全部 5,078 个 AI 技能中排名第 3,077 位,在「AI 智能体」分类(969 个)中排名第 624 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 113 | 3,428 | - | - |
| SkillHub ↗ | 110 | 3,558 | - | — |
各平台的计数口径不同,统计时间不一致。
ClawGuard 在工具执行前评估调用,可记录调用上下文,并在启用相应配置时拦截高风险操作。评估上下文会发送给已配置的 LLM;第三方插件可能广泛接触工具调用内容,应先审查软件包版本,并谨慎配置日志、指标和模型提供方,避免提示词或参数包含秘密。不要把网关令牌打印到共享日志或终端。
资料发布于 2026-10-29
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 3,558 | — | - |
| 2026-08 | 3,335 | +4.0% | - |
| 2026-07 | 3,206 | +9.3% | - |
| 2026-06 | 2,932 | +4.6% | - |
| 2026-05 | 2,802 | — | - |
| 2026-03 | 2,241 | — | - |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
---
name: clawguard
description: Install and configure the ClawGuard security plugin - an LLM-as-a-Judge guardrail that detects and blocks risky tool calls
metadata: {"openclaw":{"emoji":"🛡️","homepage":"https://github.com/capsulesecurity/clawguard"}}
---
# ClawGuard Plugin Installation Guide
ClawGuard is a security plugin that uses an LLM-as-a-Judge to evaluate tool calls before execution, detecting and optionally blocking risky operations.
## Prerequisites Before installing ClawGuard, ensure the gateway's chat completions endpoint is enabled: ```bash openclaw config set gateway.http.endpoints.chatCompletions.enabled true ``` ## Installation Install the plugin from npm: ```bash openclaw plugins install @capsulesecurity/clawguard ``` After installation, restart the gateway to load the plugin. ## Docker Installation If running OpenClaw in Docker: ```bash # Install the plugin docker compose run --rm openclaw-cli plugins install @capsulesecurity/clawguard # Restart gateway with force-recreate to reload env vars docker compose up -d --force-recreate openclaw-gateway ``` **Important:** Always use `--force-recreate` when restarting. Plain `docker compose restart` does NOT reload environment variables. ## Verify Installation Check the gateway logs for the initialization message: ``` [clawguard] Initialized (logging: true, security: true, block: true, metrics: enabled) ``` ## Configuration Configure ClawGuard via `openclaw config set plugins.clawguard.<option> <value>`: | Option | Default | Description | |--------|---------|-------------| | enabled | true | Enable/disable the plugin | | logToolCalls | true | Log tool call JSON to gateway logs | | securityCheckEnabled | true | Run LLM security evaluation | | blockOnRisk | true | Block high/critical risk tool calls | | maxContextWords | 2000 | Session context word limit for evaluation | | timeoutMs | 15000 | Security check timeout in milliseconds | | gatewayHost | 127.0.0.1 | Gateway host for LLM calls | | gatewayPort | 18789 | Gateway port for LLM calls | | metricsEnabled | true | Enable anonymous usage metrics | ### Example Configuration ```bash # Disable blocking (log-only mode) openclaw config set plugins.clawguard.blockOnRisk false # Increase timeout for slower models openclaw config set plugins.clawguard.timeoutMs 30000 # Disable metrics collection openclaw config set plugins.clawguard.metricsEnabled false ``` ## Gateway Authentication ClawGuard calls the gateway's `/v1/chat/completions` endpoint internally. If you see 401 Unauthorized errors: 1. Check the gateway token in your environment matches the config: ```bash # Check env var printenv OPENCLAW_GATEWAY_TOKEN # Check config token cat ~/.openclaw/openclaw.json | grep -A2 '"token"' ``` 2. If tokens don't match, update your environment and restart the gateway. For Docker, ensure `.env` contains the correct `OPENCLAW_GATEWAY_TOKEN` and use `--force-recreate` when restarting. ## Troubleshooting ### 405 Method Not Allowed The chat completions endpoint is not enabled. Run: ```bash openclaw config set gateway.http.endpoints.chatCompletions.enabled true ``` ### 401 Unauthorized Token mismatch between environment and config. See Gateway Authentication section above. ### Plugin Not Loading 1. Check `openclaw plugins list` shows clawguard 2. Restart the gateway 3. Check gateway logs for errors ## How It Works ClawGuard registers a `before_tool_call` hook that: 1. Logs tool call details (if `logToolCalls` is enabled) 2. Sends tool context to an LLM for security evaluation 3. Returns a risk assessment (none/low/medium/high/critical) 4. Blocks execution if risk is high/critical (if `blockOnRisk` is enabled) The security evaluation uses your configured LLM provider, so it works with any model you have set up in OpenClaw. ## Links - GitHub: https://github.com/capsulesecurity/clawguard - npm: https://www.npmjs.com/package/@capsulesecurity/clawguard
把开发过程中的经验、错误与纠正记录为 Markdown 文件,供后续复用并晋升为工作区记忆。
用自然语言描述需求,在本地与远程技能市场里找技能并给出推荐的技能。
给 AI agent 用的浏览器自动化命令行技能。
把用户纠正与自我复盘沉淀成分层记忆、并按使用情况升降级的技能。
在安装第三方技能之前,按清单审查来源、权限与危险模式的技能。
把 agent 的记忆与跨技能状态存成带类型和约束的知识图谱的技能。
一份为 AI 代理规划主动跟进、工作记忆与复盘流程的工作区配置指南。
指导如何创建与更新有效 Claude 技能的写作指南。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。