據 AlphaMoat 統計,截至 2026-09,AgentSentinel Safety Layer 累計下載 4,046 次、獲 2 個星標,在全部 5,078 個 AI 技能中排名第 2,524 位,在「AI 智慧體」分類(969 個)中排名第 492 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 131 | 3928 | 2 | 2 |
| SkillHub ↗ | 131 | 4046 | 2 | — |
各平台的計數口徑不同,統計時間不一致。
AgentSentinel 可在本地評估擬執行操作是否符合策略與預算,檢視狀態、建立預設策略檔案、重置本地支出跟蹤,並在配置 API key 後由操作者顯式執行 sync 上傳事件。防護判斷屬於建議,不能直接視作可靠的安全邊界;應審閱策略、明確拒絕規則,並對破壞性或高成本操作進行人工複核。包裝器會在本地記錄原始命令文字,同步前檢查日誌並避免包含秘密;僅在信任遠端服務時啟用同步。
資料釋出於 2026-10-29
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 4046 | — | 2 |
| 2026-08 | 3841 | +3.8% | 2 |
| 2026-07 | 3700 | +6.2% | 2 |
| 2026-06 | 3485 | +5.2% | 2 |
| 2026-05 | 3314 | — | 2 |
| 2026-03 | 2722 | — | 2 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 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.
將開發過程中的經驗、錯誤與修正記錄為 Markdown 檔案,供日後重用並提升為工作區記憶。
用自然語言描述需求,在本機與遠端技能市場尋找技能並取得推薦。
給 AI agent 用的瀏覽器自動化命令列技能。
將使用者明確糾正與自我檢視整理成分層記憶,並依使用情況升級或封存。
在安裝第三方技能之前,按清單審查來源、許可權與危險模式的技能。
將代理記憶與跨技能狀態整理成具型別與約束的知識圖譜。
規劃 AI 代理主動跟進、工作記憶與回顧流程的工作區設定指南。
指導如何建立與更新有效 Claude 技能的寫作指南。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。