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Agent Skill · 研究检索

sysclaw-reporting(系统爪报告)

sysclaw-reporting 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。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。

sysclaw-reporting 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;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 14,607。

总安装 8,435周安装 355GitHub Stars 公开资料未说明下载 2,954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
4.0.0

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:sysclaw-reporting(系统爪报告)
来源仓库:https://github.com/mbojer/sysclaw-reporting
安装命令:
openclaw skills install sysclaw-reporting
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 sysclaw-reporting

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。

向 SysClaw 提交系统错误报告与资源申请请求的标准接口。适用于代理间异常通知、日志聚合或算力扩容提交流程场景。自动附加堆栈信息与上下文元数据提高问题定位效率。支持分级上报策略区分严重程度采取不同响应措施。sysclaw-reporting 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

需定义接收端点 URL 并验证签名防止伪造恶意请求注入。

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 sysclaw-reporting;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

    它需要接触敏感数据,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

sysclaw-reporting 怎么安装?

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

sysclaw-reporting 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。

sysclaw-reporting 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

sysclaw-reporting 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。

sysclaw-reporting 用的人多吗?

公开数据是累计安装 8,435 次,近一周安装 355 次,下载 2,954 次。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。

sysclaw-reporting 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

  • 需要接触敏感数据,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

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
sysclaw-reporting

系统爪报告 · 本页

8,435—接触敏感数据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
sysclaw-reporting
description
>

SysClaw Reporting (Client)

Report issues and submit requests to SysClaw. This is the client-side skill — it covers how to communicate with SysClaw, not how SysClaw processes requests.

Prerequisites

1. Install Python dependency

pip3 install psycopg2-binary

2. Set environment variables

Set these before running scripts. All scripts use a fallback chain: script-specific vars → SYSCLAW_DB_* → defaults.

# Shared connection settings (used by all scripts as fallback)
export SYSCLAW_DB_HOST="<your-db-host>"        # Ask your SysClaw operator
export SYSCLAW_DB_PORT="5432"
export SYSCLAW_DB_NAME="system_comm"
export SYSCLAW_DB_USER="<your-agent-role>"     # e.g., jobagent, pmagent, researcher_agent
export SYSCLAW_DB_PASSWORD="<your-db-password>"

You can also set per-script overrides (ISSUE_DB_*, REQUEST_DB_*) if different scripts need different credentials, but in most cases the shared SYSCLAW_DB_* vars are sufficient.

Ask your SysClaw operator for the correct host address and your agent credentials.

Report an Issue

For errors, warnings, and problems that need attention:

scripts/report-issue.sh <source> <severity> <title> [category] [details] [source_host]

Severity: info | warning | critical Categories: disk | service | error | resource | network | config | other

Examples:

scripts/report-issue.sh jobhunter warning "Disk usage above 80%" disk "df shows 82% on /data" srv-prod-01
scripts/report-issue.sh pmagent critical "API endpoint returning 500" service "5 consecutive failures" srv-prod-02
source_host (6th argument, optional): Identifies which machine this report originates from. Defaults to the current hostname if omitted.

Request Something from SysClaw

For software installs, access requests, configuration changes, and more:

scripts/request-resource.sh <source> <type> <action> <target> <justification> [urgency] [payload] [source_host]

Types: access | software | resource | config | service | deployment | info Actions: install | remove | create | modify | restart | grant | check | deploy Urgency: low | normal | urgent (default: normal) Payload: Valid JSON string (optional). Validated before submission.

Examples

scripts/request-resource.sh jobhunter software install nginx '{"version":"latest"}' normal
scripts/request-resource.sh pmagent access grant /var/data/pm '{"level":"read"}'
scripts/request-resource.sh researcher info check disk_usage

What Happens Next

  1. Your request is submitted and SysClaw is automatically notified
  2. SysClaw assesses and processes the request (typically within 15 minutes)
  3. SysClaw executes approved actions — you don't need to do anything after approval
  4. You receive a notification with the result (e.g., "DONE: nginx installed and running")

Verdicts:

  • approved + DONE — SysClaw completed the work, see notification for details
  • denied — see notification for reason
  • escalated — human operator reviewing, you'll be notified when decided

Check Notifications

Check for responses from SysClaw:

scripts/check-notifications.sh <your-agent-name>        # View unread
scripts/check-notifications.sh <your-agent-name> yes    # View and mark as read

Workflow:

  1. Run check-notifications.sh at session start or after submitting a request
  2. Read the results — SysClaw has already done the work for approved requests
  3. Mark as read when done

Automatic Notification Checking

Set up a cron job so responses are ready when your session starts:

# Create wrapper script
cat > /usr/local/bin/check-sysclaw-notifications.sh << 'SCRIPT'
#!/bin/bash
export SYSCLAW_DB_HOST="<db-host>"
export SYSCLAW_DB_PORT="5432"
export SYSCLAW_DB_NAME="system_comm"
export SYSCLAW_DB_USER="<your-role>"
export SYSCLAW_DB_PASSWORD="<your-password>"
bash "<skill-path>/scripts/check-notifications.sh" <your-agent-name> > "<workspace>/memory/notifications.md" 2>/dev/null
SCRIPT
chmod +x /usr/local/bin/check-sysclaw-notifications.sh

# Add to crontab
(crontab -l 2>/dev/null; echo "*/15 * * * * /usr/local/bin/check-sysclaw-notifications.sh") | crontab -

Then at session start: cat memory/notifications.md

Direct SQL (Alternative to Scripts)

If you prefer direct database access:

-- Report issue
INSERT INTO issues (source, severity, category, title, details, source_host)
VALUES ('jobhunter', 'warning', 'disk', 'Disk usage high', 'Partition at 85%', 'srv-prod-01');

-- Submit request
INSERT INTO agent_requests (requesting_agent, request_type, action, target, justification, urgency, payload, source_host)
VALUES ('pmagent', 'software', 'install', 'nginx', 'Need web server', 'normal', '{"version":"latest"}'::jsonb, 'srv-prod-02');

-- Notify SysClaw (after submitting request)
INSERT INTO notifications (recipient, sender, related_request, message, urgency)
VALUES ('sysclaw', 'pmagent', <request_id>, 'New software request: install nginx', 'normal');

-- Check responses
SELECT * FROM notifications WHERE recipient = 'pmagent' AND read = FALSE;

Do not set verdict, security_assessment, resolved_at, or resolved_by — SysClaw manages these.

Post-Install

  1. TOOLS.md — Add DB host, user, and connection details
  2. Set up notification cron job — See "Automatic Notification Checking" above
  3. Test:
   scripts/report-issue.sh <your-source> info "SysClaw reporting skill installed - test"

Technical Notes

  • Scripts use Python psycopg2 with parameterized queries (no SQL injection risk)
  • JSON payloads are validated with json.loads() before database insertion
  • Connection retry: 3 attempts with exponential backoff (1s, 2s, 4s) on initial connection failure
  • Mid-session reconnect: If the connection drops between queries, scripts reconnect and retry once automatically
  • Connection timeout is 10 seconds per attempt (override with PGCONNECT_TIMEOUT)
  • All scripts exit non-zero on failure with descriptive error messages

平台分布

OpenClaw

73.74%
按下载量换算2,178

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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