据 AlphaMoat 统计,截至 2026-09,AgentSentinel Safety Layer 累计下载 4,046 次、获 2 个星标,在全部 5,078 个 AI 技能中排名第 2,524 位,在「AI 智能体」分类(969 个)中排名第 492 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 131 | 3,928 | 2 | 2 |
| SkillHub ↗ | 131 | 4,046 | 2 | — |
各平台的计数口径不同,统计时间不一致。
AgentSentinel 可在本地评估拟执行操作是否符合策略与预算,查看状态、创建默认策略文件、重置本地支出跟踪,并在配置 API key 后由操作者显式运行 sync 上传事件。防护判断属于建议,不能直接视作可靠的安全边界;应审阅策略、明确拒绝规则,并对破坏性或高成本操作进行人工复核。包装器会在本地记录原始命令文本,同步前检查日志并避免包含秘密;仅在信任远程服务时启用同步。
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 | 4,046 | — | 2 |
| 2026-08 | 3,841 | +3.8% | 2 |
| 2026-07 | 3,700 | +6.2% | 2 |
| 2026-06 | 3,485 | +5.2% | 2 |
| 2026-05 | 3,314 | — | 2 |
| 2026-03 | 2,722 | — | 2 |
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: agent-sentinel
description: Local-first budget and policy guardrails for agent actions, with optional remote sync to AgentSentinel.
homepage: https://github.com/jimmystacks/agent-sentinel
metadata: {"openclaw":{"emoji":"🛡️","homepage":"https://github.com/jimmystacks/agent-sentinel/tree/main/skills/agent-sentinel","primaryEnv":"AGENT_SENTINEL_API_KEY","files":["sentinel_wrapper.py","README.md","CHANGELOG.md"],"requires":{"bins":["python3"]}}}
---
# AgentSentinel Protection Layer
Use this skill when you want a local policy gate before an agent performs a costly or risky action.This OpenClaw skill is the lightweight entry point to the broader AgentSentinel product: - this skill for local-first OpenClaw guardrails - AgentSentinel SDK for deeper Python agent instrumentation - AgentSentinel platform for centralized monitoring, dashboards, and approval workflows AgentSentinel is local-first by default: - Policy checks run locally. - Budget tracking runs locally. - No remote sync is attempted unless the operator runs `sync` with an API key configured. ## When To Use It Use AgentSentinel before: - expensive model or API calls - file deletion or destructive shell commands - high-volume automation loops - actions that should be blocked by policy or capped by budget ## Commands ### `check` Check whether a proposed action is allowed under the current local policy and budget. ```bash python3 sentinel_wrapper.py check --cmd "rm -rf build" --cost 0.05 ``` ### `status` Show the current local status, including budget usage and whether optional remote sync is enabled. ```bash python3 sentinel_wrapper.py status ``` ### `sync` Upload locally recorded events to AgentSentinel cloud when `AGENT_SENTINEL_API_KEY` is set. ```bash python3 sentinel_wrapper.py sync ``` ### `bootstrap` Create a default `callguard.yaml` in the current workspace if one does not already exist. ```bash python3 sentinel_wrapper.py --bootstrap ``` ### `reset` Reset local tracked spend for the current run, or for the entire local session state. ```bash python3 sentinel_wrapper.py reset --scope run python3 sentinel_wrapper.py reset --scope all ``` ## Configuration Policy is loaded from `callguard.yaml` in the current workspace when present. Optional cloud mode is enabled by setting: - `AGENT_SENTINEL_API_KEY` If the API key is not present, the skill remains local-only. Locally recorded events stay on-machine until `sync` is run. ## AgentSentinel Product Path Use this skill if you want fast local guardrails inside OpenClaw. Use the AgentSentinel SDK when you want: - richer Python integrations - broader policy and telemetry coverage - framework-level instrumentation outside OpenClaw Use the AgentSentinel platform when you want: - centralized visibility across agents - dashboards and historical analysis - human approval workflows and operational review ## External Endpoints | Endpoint | When it is called | Data sent | | --- | --- | --- | | `https://api.agentsentinel.dev` | Only when `AGENT_SENTINEL_API_KEY` is present and `python3 sentinel_wrapper.py sync` is run | locally recorded action events generated by AgentSentinel | ## Security And Privacy - Local mode does not send data off-machine. - The wrapper does not write API keys to `.env` or other files. - Remote sync is opt-in and requires both `AGENT_SENTINEL_API_KEY` and an explicit `sync` command. - If remote sync fails, policy checks still continue locally. ## Model Invocation Note OpenClaw may invoke this skill automatically when the task suggests budget enforcement, policy checks, or action gating. That behavior is expected for an installed skill. ## Trust Statement By enabling remote sync, you allow AgentSentinel telemetry to be sent to `agentsentinel.dev`. Only enable that mode if you trust the service and want centralized monitoring.
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。