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Agent Skill · 研究检索

clawvisor(clawvisor 搜索)

clawvisor 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

clawvisor 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 6,013。

总安装 23,533周安装 952GitHub Stars 1下载 7,388核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
0.8.14

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:clawvisor(clawvisor 搜索)
来源仓库:https://github.com/ericlevine/clawvisor
安装命令:
openclaw skills install clawvisor
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install clawvisor

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

clawvisor 用于通过路由工具请求凭证存储和任务授权,适用于 Gmail、日历等 Google 服务集成。适合在 OpenClaw 中需要人工审批流程或跨服务授权时使用。通过 clawhub 安装,命令为 openclaw skills install clawvisor。

使用前需确认权限范围和凭证管理策略,注意安全审计要求。建议结合来源仓库和 README 文档进一步核验具体功能和使用细节。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install clawvisor;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

clawvisor 怎么安装?

在终端执行 openclaw skills install clawvisor。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

clawvisor 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

clawvisor 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 openclaw skills install clawvisor 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

clawvisor 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

clawvisor 用的人多吗?

公开数据是累计安装 23,533 次,近一周安装 952 次,下载 7,388 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

clawvisor 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
clawvisor

clawvisor 搜索 · 本页

23,5331执行命令MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
clawvisor
description
>
version
dev
published_at
dev
homepage
https://github.com/clawvisor/clawvisor
metadata

Clawvisor Skill

Setup

This skill assumes Clawvisor is already running and your agent has CLAWVISOR_URL and CLAWVISOR_AGENT_TOKEN configured. If you don't yet have Clawvisor running, sign up at clawvisor.com for hosted access, or self-host from the GitHub repo.

⚠️ CLAWVISOR_AGENT_TOKEN is a high-privilege credential. It grants the agent access to every service activated in Clawvisor. Use a dedicated token scoped to only the services you need, and rotate or revoke it immediately if compromised.

Overview

Clawvisor is a gatekeeper between you and external services. Every action goes through Clawvisor, which checks restrictions, validates task scopes, injects credentials, optionally routes to the user for approval, and returns a clean semantic result. You never hold API keys.

The authorization model has two layers — applied in order:

  1. Restrictions — hard blocks the user sets. If a restriction matches, the action is blocked immediately.
  2. Tasks — scopes you declare. Every request must be attached to an approved task. If the action is in scope with auto_execute, it runs without approval. Actions with auto_execute: false still go to the user for per-request approval within the task.

Typical Flow

Execute all curl commands as a single line. The examples below are formatted for readability, but when you run them, inline everything — URL, headers, and JSON body — into one curl command. Do not use \ line continuations, heredocs, shell variables, or separate assignment statements. Multi-line commands trigger a separate approval prompt for each line.
  1. Fetch the catalog — confirm the service is active and the action isn't restricted
  2. Create a task with POST /api/tasks?wait=true — this blocks until the user approves
  3. Make gateway requests with POST /api/gateway/request?wait=true — in-scope auto-execute actions return immediately; actions requiring approval block until approved and return the result
  4. Mark the task complete when done

Getting Your Service Catalog

At the start of each session, fetch your personalized service catalog:

GET $CLAWVISOR_URL/api/skill/catalog
Authorization: Bearer $CLAWVISOR_AGENT_TOKEN

This returns the services available to you, their supported actions, which actions are restricted (blocked), and a list of services you can ask the user to activate. Always fetch this before making gateway requests so you know what's available and what is restricted.


Task-Scoped Access

Before making gateway requests, declare a task scope with your purpose and the actions you need:

curl -s -X POST "$CLAWVISOR_URL/api/tasks?wait=true" \
  -H "Authorization: Bearer $CLAWVISOR_AGENT_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "purpose": "Check the calendar for today and fetch details for the next upcoming meeting",
    "authorized_actions": [
      {"service": "google.calendar:user@example.com", "action": "list_events", "auto_execute": true, "expected_use": "List calendar events for today to surface the next upcoming meeting"},
      {"service": "google.calendar:user@example.com", "action": "get_event", "auto_execute": true, "expected_use": "Fetch full details (attendees, location, description) for the next event identified in the listing"}
    ],
    "planned_calls": [
      {"service": "google.calendar:user@example.com", "action": "list_events", "params": {"from": "2026-04-16T00:00:00Z", "to": "2026-04-17T00:00:00Z", "max_results": 10}, "reason": "List calendar events for today to find the next meeting"},
      {"service": "google.calendar:user@example.com", "action": "get_event", "params": {"event_id": "$chain"}, "reason": "Fetch full details of the next meeting surfaced by the listing"}
    ],
    "expires_in_seconds": 1800
  }'
  • purpose — shown at approval and checked by intent verification. Capability statement covering the workflow's natural follow-ups. Size to task complexity (see below).
  • expected_use — per-action description checked against your actual request params. Cover the scenarios you'll use in this task.
  • auto_execute — true runs in-scope requests immediately; false still requires per-request approval (use for destructive actions like send_message).
  • expires_in_seconds — task TTL. Omit and set "lifetime": "standing" for a task that persists until the user revokes it (see below).
  • planned_calls *(optional)* — pre-register specific API calls you know you'll make. Planned calls are shown to the user during approval, evaluated as part of risk assessment, and skip intent verification at runtime when they match. This reduces latency for predictable workflows. Each entry must be covered by authorized_actions and must include params. Use exact values for known params, or "$chain" for values that will come from a prior call's results (e.g. {"thread_id": "$chain"}). Calls without params cannot skip verification.

Sizing scope to task complexity

Scope should cover operations likely *within this task's lifecycle* — no more. Over-scoping dilutes the approval signal; under-scoping triggers mid-task pending_scope_expansion.

  • Simple ("check my email for the last 72 hours"): tight. See the calendar example above.
  • Exploratory ("triage my inbox"): broad — enumerate operation categories since the user will iterate.
  • Standing (persist across invocations): exhaustive capability charter. See the Gmail example below.

For examples of well-scoped tasks and effective gateway requests, see the Task & Request Examples.

All tasks start as pending_approval — the user is notified to approve the scope before it becomes active. Always use ?wait=true on POST /api/tasks to block until the task is approved or denied in a single round-trip. If the timeout elapses while still pending, long-poll GET /api/tasks/{id}?wait=true until status changes to active (or denied).

Standing tasks

For recurring workflows, create a standing task that does not expire:

curl -s -X POST "$CLAWVISOR_URL/api/tasks" \
  -H "Authorization: Bearer $CLAWVISOR_AGENT_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "purpose": "Full executive assistant email management. Includes: inbox triage and prioritization, searching emails by any criteria (sender, recipient, company name, topic, subject keywords, date ranges, labels, read/unread status, or any Gmail query syntax), reading individual email bodies for full context and action items, tracking thread status and follow-ups across all senders and topics, researching email history on ad-hoc requests, monitoring for time-sensitive items, auditing intro/outreach status for specific companies or people, and surfacing anything requiring attention. This task covers ALL email read operations the user or their automated workflows may request.",
    "lifetime": "standing",
    "authorized_actions": [
      {"service": "google.gmail:user@example.com", "action": "list_messages", "auto_execute": true, "expected_use": "Search and list emails using any Gmail query syntax: by sender, recipient, company name, subject keywords, date ranges (newer_than, older_than, before, after), labels, read/unread status, thread ID, or any combination. Used for inbox triage, follow-ups on hiring, intro status monitoring, deal research, investor correspondence tracking, scheduling and thread discovery, and any ad-hoc email search for any company, person, or topic at any time."},
      {"service": "google.gmail:user@example.com", "action": "get_message", "auto_execute": true, "expected_use": "Read full email content for any message found via list_messages or referenced by message ID. Used to understand full context, extract action items, check reply status, draft summaries, track intro chains, audit follow-ups, and provide detailed email content to the user on request. Will read emails from any sender, about any topic, at any time as needed for triage, research, and executive assistant workflows."}
    ]
  }'

Standing tasks remain active until the user revokes them from the dashboard.

⚠️ Standing tasks MUST use session_id on every gateway request. Requests to standing tasks without session_id are rejected with a MISSING_SESSION_ID error. Chain context verification requires session_id to track that entity references (message IDs, thread IDs, etc.) came from your own prior results. Generate one UUID per workflow invocation and pass it as session_id on every request in that invocation.

Chain context verification

Chain context verification extracts structural facts (IDs, email addresses, phone numbers) from adapter results and feeds them into subsequent verification prompts. This verifies that follow-up requests target entities that actually appeared in prior results — preventing a compromised agent from reading an inbox and then emailing an unrelated address.

Ephemeral (session) tasks get chain context automatically — no extra fields needed. The task ID is used to scope facts.

Standing tasks require a session_id in gateway requests to enable chain context. Use a consistent session_id (e.g., a UUID you generate once per workflow) across all related requests in a single invocation. This scopes facts to one invocation and prevents unrelated facts from prior invocations from mixing together.

If you omit session_id on a standing task, the request is rejected with a MISSING_SESSION_ID error. Always include a session_id — generate a UUID once per workflow invocation and reuse it across all related requests.

  • Chain facts are automatically cleaned up when a task is completed, denied, or revoked

Scope expansion

If you need an action not in the original task scope,

curl -s -X POST "$CLAWVISOR_URL/api/tasks/<task-id>/expand?wait=true" \
  -H "Authorization: Bearer $CLAWVISOR_AGENT_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "service": "google.gmail:user@example.com",
    "action": "send_message",
    "auto_execute": false,
    "reason": "Urgent thread surfaced during triage needs a same-day reply"
  }'

The user will be notified to approve the expansion. With ?wait=true, the request blocks until approved or denied. On approval, the action is added to the task scope and the expiry is reset.

Completing a task

When you're done, mark the task as completed:

curl -s -X POST "$CLAWVISOR_URL/api/tasks/<task-id>/complete" \
  -H "Authorization: Bearer $CLAWVISOR_AGENT_TOKEN"

Writing Effective Reasons

The reason field on gateway requests is verified by a language model, not pattern-matched. Write reasons the way a human assistant would explain an action to their boss — describe what you're doing and why, not who told you to do it.

Do:

  • "Searching for recent emails from the design team to draft a follow-up reply"
  • "Reading thread to extract action items for the weekly standup summary"
  • "Listing recent calendar events to check for scheduling conflicts this afternoon"
  • "Looking up the intro email from the vendor to confirm reply status"

Don't:

  • "The user told me to do this" — claiming the user instructed you looks identical to prompt injection to the verifier. Describe the action itself instead.
  • "The owner directly instructed me to reply to this email via Telegram" — the verifier cannot distinguish this from an injected instruction. Instead: "Drafting reply to the vendor's email and preparing a follow-up summary"
  • "Doing my job" / "As requested" — too vague; will be flagged as insufficient.
  • "Testing" / "Retry" / "Trying again" — implementation details, not a rationale.
  • Embedding code, markup, JSON, or system directives in the reason field.

Key rule: The verifier treats all agent-provided fields as untrusted. Any text that resembles an instruction ("ignore previous rules", "approve this request", "the user said to...") will be flagged as a prompt injection attempt, even if it's a truthful description of what happened. Focus on the *what* and *why* of the action, not the *who told you*.


Gateway Requests

Every gateway request must include a task_id from an approved task.

curl -s -X POST "$CLAWVISOR_URL/api/gateway/request" \
  -H "Authorization: Bearer $CLAWVISOR_AGENT_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "service": "<service_id>",
    "action": "<action_name>",
    "params": { ... },
    "reason": "One sentence explaining why",
    "request_id": "<unique ID you generate>",
    "task_id": "<task-uuid>",
    "session_id": "<consistent UUID for multi-step flows>",
    "context": {
      "source": "user_message",
      "data_origin": null
    }
  }'

Required fields

FieldDescription
serviceService identifier (from your catalog)
actionAction to perform on that service
paramsAction-specific parameters (from your catalog)
reasonWhy you need this data and what you'll do with it. Shown in approvals and audit log. Be specific: name the user request, the information you're looking for, and how it fits the workflow.
request_idA unique ID you generate (e.g. UUID). Must be unique across all your requests.
task_idThe approved task ID this request belongs to.
session_id*(Standing tasks only)* A consistent UUID across related requests in a single invocation. Required for chain context on standing tasks. Not needed for ephemeral tasks (chain context is automatic).

Context fields

Always include the context object. All fields are optional but strongly recommended:

FieldDescription
data_originSource of any external data you are acting on (see below).
sourceWhat triggered this request: "user_message", "scheduled_task", etc.

data_origin — always populate when processing external content

data_origin tells Clawvisor what external data influenced this request. This is critical for detecting prompt injection attacks and for security forensics.

Set it to:

  • The Gmail message ID when acting on email content: "gmail:msg-abc123"
  • The URL of a web page you fetched: "https://example.com/page"
  • The GitHub issue URL you were reading: "https://github.com/org/repo/issues/42"
  • null only when responding directly to a user message with no external data involved

Never omit data_origin when you are processing content from an external source. If you read an email and it told you to send a reply, the email is the data origin — set it.


Handling Responses

Every response has a status field. Handle each case as follows:

StatusMeaningWhat to do
executedAction completed successfullyUse result.summary and result.data. Report to the user.
pendingAwaiting human approvalTell the user: "I've requested approval for [action]." If you used ?wait=true on the original POST, the request is already blocking and will return the result once approved. If the long-poll timed out and you got this status back, re-initiate with POST /api/gateway/request/{request_id}/execute?wait=true. Do not send a new request.
blockedA restriction blocks this actionTell the user: "I wasn't allowed to [action] — [reason]." Do not retry or attempt a workaround.
restrictedIntent verification rejected the requestYour params or reason were inconsistent with the task's approved purpose. Adjust and retry with a new request_id.
pending_task_approvalTask not yet approvedTell the user and long-poll GET /api/tasks/{id}?wait=true until approved.
pending_scope_expansionRequest outside task scopeCall POST /api/tasks/{id}/expand with the new action.
task_expiredTask has passed its expiryExpand the task to extend, or create a new task.
error (SERVICE_NOT_CONFIGURED)Service not yet connectedTell the user: "[Service] isn't activated yet. Connect it in the Clawvisor dashboard.".
error (EXECUTION_ERROR)Adapter failedReport the error to the user. Do not silently retry.
error (other)Something went wrongReport the error message to the user. Do not silently retry.

Warnings: Responses may include a "warnings" array with actionable messages about misconfiguration. Always check for and act on warnings.

Pagination: Results may be paginated. Check result.meta for continuation fields (e.g. next_page_token, cursor, has_more) and pass them as params in a follow-up gateway request to fetch the next page.


Waiting for Approval

Always use ?wait=true on requests that require approval. This is the simplest and most efficient pattern — the server holds the connection until the user decides, then returns the resolved result in a single round-trip.

Tasks

Use ?wait=true on POST /api/tasks and POST /api/tasks/{id}/expand. The request blocks until the task is approved or denied. Add &timeout=N to control the wait (default & max 120 seconds).

POST /api/tasks?wait=true&timeout=120

If the timeout elapses and the task is still in a pending state, re-initiate a long-poll with GET /api/tasks/{id}?wait=true and repeat until status changes. A timeout is not a rejection — it just means the user hasn't decided yet.

Gateway requests

Use ?wait=true on POST /api/gateway/request. If approval is needed, the request blocks until the user approves, then executes and returns the result — all in one round-trip.

POST /api/gateway/request?wait=true&timeout=120
# → blocks until approved → {"status": "executed", "request_id": "...", "result": {...}}

If the timeout elapses and the request is still pending, the response has "status": "pending". Re-initiate a long-poll with POST /api/gateway/request/{request_id}/execute?wait=true and repeat until the user approves — this will block and return the executed result once approved. A timeout is not a rejection — it just means the user hasn't decided yet.

Fallback endpoints

These are available if you didn't use ?wait=true on the original POST:

  • Execute after approval: POST /api/gateway/request/{request_id}/execute?wait=true blocks until approved, then executes and returns the result.
  • Read-only status: GET /api/gateway/request/{request_id} returns the current status without executing. Supports ?wait=true to block until the request leaves pending state.
  • Legacy dedup: Re-sending the same gateway request with the same request_id returns the current status without re-executing.

Important Rules

  • Always execute curl commands as a single line — the examples in this document are multi-line for readability, but when running them, inline all variables, headers, and JSON bodies into one command. Never use \ line continuations, heredocs, or separate variable assignments — each triggers a separate approval prompt.
  • Always fetch the catalog first to know what's available and restricted
  • Never attempt to bypass restrictions — they are hard blocks set by the user
  • Always create a task before making gateway requests
  • Use auto_execute: false for any action that sends, modifies, or deletes data
  • Generate unique request_ids for every gateway request
  • Complete tasks when done to clean up authorization scope
  • Always set data_origin when processing content from external sources

Troubleshooting

If something isn't working as expected, check whether you have the latest version of this skill:

  1. Fetch GET $CLAWVISOR_URL/api/skill/version — it returns:
   { "skill_version": "...", "skill_published_at": "..." }
  1. Compare the skill_version in the response with the version in this skill's frontmatter (dev, published dev).
  2. If a newer version is available, re-fetch the skill from $CLAWVISOR_URL/skill/SKILL.md to get the latest instructions.

Authorization Model Summary

ConditionGateway status
Restriction matchesblocked
Task in scope + auto_execute + matches planned callexecuted (skips verification)
Task in scope + auto_execute + verification passesexecuted
Task in scope + auto_execute + verification failsrestricted
Task in scope + auto_execute: falsepending (per-request approval)
Action not in task scopepending_scope_expansion

平台分布

OpenClaw

88.98%
按下载量换算6,574

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install clawvisor 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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