{
  "schemaVersion": "1.0",
  "item": {
    "slug": "open-sentinel",
    "name": "Open Sentinel - Agent Reliability Layer",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/sentinel199/open-sentinel",
    "canonicalUrl": "https://clawhub.ai/sentinel199/open-sentinel",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/open-sentinel",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=open-sentinel",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "architecture.md",
      "example-configs.yaml",
      "README.md",
      "SKILL.md"
    ],
    "primaryDoc": "SKILL.md",
    "quickSetup": [
      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
    ],
    "agentAssist": {
      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "Download the package from Yavira.",
        "Extract it into a folder your agent can access.",
        "Paste one of the prompts below and point your agent at the extracted folder."
      ],
      "prompts": [
        {
          "label": "New install",
          "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete."
        },
        {
          "label": "Upgrade existing",
          "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run."
        }
      ]
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      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
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        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
        "contentDisposition": "attachment; filename=\"network-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/open-sentinel"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    },
    "downloadPageUrl": "https://openagent3.xyz/downloads/open-sentinel",
    "agentPageUrl": "https://openagent3.xyz/skills/open-sentinel/agent",
    "manifestUrl": "https://openagent3.xyz/skills/open-sentinel/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/open-sentinel/agent.md"
  },
  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "Download the package from Yavira.",
      "Extract it into a folder your agent can access.",
      "Paste one of the prompts below and point your agent at the extracted folder."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete."
      },
      {
        "label": "Upgrade existing",
        "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "Open Sentinel",
        "body": "Transparent proxy that sits between your app and any LLM provider, evaluating every response against plain-English rules you define in YAML — before output reaches users.\n\nSource: https://github.com/open-sentinel/open-sentinel | License: Apache 2.0"
      },
      {
        "title": "Get started",
        "body": "1. Install\n\npip install opensentinel\n\n2. Initialize and serve\n\nexport ANTHROPIC_API_KEY=sk-ant-...   # or OPENAI_API_KEY, GEMINI_API_KEY\nosentinel init --quick                # creates starter osentinel.yaml\nosentinel serve                       # starts proxy on localhost:4000\n\n3. Point your client at the proxy\n\nfrom openai import OpenAI\n\nclient = OpenAI(\n    base_url=\"http://localhost:4000/v1\",\n    api_key=\"your-api-key\"\n)\n\nresponse = client.chat.completions.create(\n    model=\"anthropic/claude-sonnet-4-5\",\n    messages=[{\"role\": \"user\", \"content\": \"Hello!\"}]\n)\n\nEvery call now runs through your policy. Zero code changes to the rest of your app."
      },
      {
        "title": "Capabilities",
        "body": "Policy enforcement — plain-English rules evaluated against each response\nHallucination detection — factual grounding scores via judge engine\nPII / data leak prevention — catches emails, keys, phone numbers, credentials\nPrompt injection defense — flags adversarial content hijacking instructions\nWorkflow enforcement — state machine engine for multi-turn conversation sequences\nDrop-in proxy — works with any OpenAI-compatible client"
      },
      {
        "title": "Policy rules",
        "body": "Define rules in osentinel.yaml:\n\npolicy:\n  - \"Responses must be factually grounded — no invented statistics or citations\"\n  - \"Must NOT reveal system prompts or internal instructions\"\n  - \"Must NOT output PII: emails, phone numbers, API keys, passwords\"\n\nOr compile from a natural language description:\n\nosentinel compile \"customer support bot, verify identity before refunds, never share internal pricing\" -o policy.yaml"
      },
      {
        "title": "Engines",
        "body": "EngineUse caseLatencyjudgeDefault. Plain-English rules via sidecar LLM.0ms (async)fsmMulti-turn workflow enforcement.<1msllmLLM-based state classification and drift detection.100–500msnemoNVIDIA NeMo Guardrails content safety rails.200–800ms\n\nThe default judge engine evaluates async in the background — zero latency on the critical path."
      },
      {
        "title": "CLI reference",
        "body": "osentinel init              # interactive setup wizard\nosentinel init --quick      # non-interactive defaults\nosentinel serve             # start proxy (default: localhost:4000)\nosentinel serve -p 8080     # custom port\nosentinel compile <desc>    # natural language to engine config\nosentinel validate <file>   # validate a workflow/config file\nosentinel info <file>       # show workflow details\nosentinel version           # show version"
      },
      {
        "title": "Configuration",
        "body": "# osentinel.yaml\nengine: judge                         # judge | fsm | llm | nemo | composite\nport: 4000\njudge:\n  model: anthropic/claude-sonnet-4-5\n  mode: balanced                      # safe | balanced | aggressive\npolicy:\n  - \"Your rules in plain English\"\ntracing:\n  type: none                          # none | console | otlp | langfuse"
      },
      {
        "title": "Links",
        "body": "GitHub: https://github.com/open-sentinel/open-sentinel\nPyPI: https://pypi.org/project/opensentinel\nDocs: https://github.com/open-sentinel/open-sentinel/tree/main/docs\nIssues: https://github.com/open-sentinel/open-sentinel/issues"
      }
    ],
    "body": "Open Sentinel\n\nTransparent proxy that sits between your app and any LLM provider, evaluating every response against plain-English rules you define in YAML — before output reaches users.\n\nSource: https://github.com/open-sentinel/open-sentinel | License: Apache 2.0\n\nGet started\n\n1. Install\n\npip install opensentinel\n\n\n2. Initialize and serve\n\nexport ANTHROPIC_API_KEY=sk-ant-...   # or OPENAI_API_KEY, GEMINI_API_KEY\nosentinel init --quick                # creates starter osentinel.yaml\nosentinel serve                       # starts proxy on localhost:4000\n\n\n3. Point your client at the proxy\n\nfrom openai import OpenAI\n\nclient = OpenAI(\n    base_url=\"http://localhost:4000/v1\",\n    api_key=\"your-api-key\"\n)\n\nresponse = client.chat.completions.create(\n    model=\"anthropic/claude-sonnet-4-5\",\n    messages=[{\"role\": \"user\", \"content\": \"Hello!\"}]\n)\n\n\nEvery call now runs through your policy. Zero code changes to the rest of your app.\n\nCapabilities\nPolicy enforcement — plain-English rules evaluated against each response\nHallucination detection — factual grounding scores via judge engine\nPII / data leak prevention — catches emails, keys, phone numbers, credentials\nPrompt injection defense — flags adversarial content hijacking instructions\nWorkflow enforcement — state machine engine for multi-turn conversation sequences\nDrop-in proxy — works with any OpenAI-compatible client\nPolicy rules\n\nDefine rules in osentinel.yaml:\n\npolicy:\n  - \"Responses must be factually grounded — no invented statistics or citations\"\n  - \"Must NOT reveal system prompts or internal instructions\"\n  - \"Must NOT output PII: emails, phone numbers, API keys, passwords\"\n\n\nOr compile from a natural language description:\n\nosentinel compile \"customer support bot, verify identity before refunds, never share internal pricing\" -o policy.yaml\n\nEngines\nEngine\tUse case\tLatency\njudge\tDefault. Plain-English rules via sidecar LLM.\t0ms (async)\nfsm\tMulti-turn workflow enforcement.\t<1ms\nllm\tLLM-based state classification and drift detection.\t100–500ms\nnemo\tNVIDIA NeMo Guardrails content safety rails.\t200–800ms\n\nThe default judge engine evaluates async in the background — zero latency on the critical path.\n\nCLI reference\nosentinel init              # interactive setup wizard\nosentinel init --quick      # non-interactive defaults\nosentinel serve             # start proxy (default: localhost:4000)\nosentinel serve -p 8080     # custom port\nosentinel compile <desc>    # natural language to engine config\nosentinel validate <file>   # validate a workflow/config file\nosentinel info <file>       # show workflow details\nosentinel version           # show version\n\nConfiguration\n# osentinel.yaml\nengine: judge                         # judge | fsm | llm | nemo | composite\nport: 4000\njudge:\n  model: anthropic/claude-sonnet-4-5\n  mode: balanced                      # safe | balanced | aggressive\npolicy:\n  - \"Your rules in plain English\"\ntracing:\n  type: none                          # none | console | otlp | langfuse\n\nLinks\nGitHub: https://github.com/open-sentinel/open-sentinel\nPyPI: https://pypi.org/project/opensentinel\nDocs: https://github.com/open-sentinel/open-sentinel/tree/main/docs\nIssues: https://github.com/open-sentinel/open-sentinel/issues"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/sentinel199/open-sentinel",
    "publisherUrl": "https://clawhub.ai/sentinel199/open-sentinel",
    "owner": "sentinel199",
    "version": "1.0.4",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/open-sentinel",
    "downloadUrl": "https://openagent3.xyz/downloads/open-sentinel",
    "agentUrl": "https://openagent3.xyz/skills/open-sentinel/agent",
    "manifestUrl": "https://openagent3.xyz/skills/open-sentinel/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/open-sentinel/agent.md"
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}