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sysclaw-reporting系统爪报告

Agent Skill

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。

总安装

8,435

周安装

355

GitHub Stars

公开资料未说明

下载量

2,954
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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