Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Developer Tools
Ops Framework
A 0-token jobs + monitoring framework for OpenClaw: run long-running read tasks via scripts, checkpoint/resume safely, and send periodic progress + immediate alerts to Telegram. Write jobs are blocked by default and must be explicitly approved and verified.
skill openclawclawhub Free
A 0-token jobs + monitoring framework for OpenClaw: run long-running read tasks via scripts, checkpoint/resume safely, and send periodic progress + immediate alerts to Telegram. Write jobs are blocked by default and must be explicitly approved and verified.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- OPS_FRAMEWORK.md, README.md, SKILL.md, UPSTREAM.md, ops-jobs.example.json, ops-monitor.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- 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.
New install
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.
Upgrade existing
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.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.0
Provenance
- Publisher
- Zjianru
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Ops Framework（Jobs + Ops Monitor）— OpenClaw Skill (MVP)
目标：把“长任务执行 / 断点续跑 / 进度汇报 / 异常告警”做成 0-token 的可复用能力。 这套技能由两部分组成： ops-monitor.py：一个纯本地脚本，负责跑 status / 检测卡住 / 发送 Telegram 快报 ops-jobs.json：一个声明式 job 配置（包含 kind/risk/命令/策略） 推荐作为“外挂”存在：长任务尽量用脚本跑，避免让模型持续盯进度烧 token。
What this solves
Long-running read jobs: scans, inventories, large syncs, periodic polling; support pause/resume and stall detection. One-shot read jobs: health checks or lint-like checks; only report when they emit ACTION REQUIRED / ALERT or fail. One-shot write jobs: blocked by default; must be explicitly approved and must chain to a read-only verification job.
Quickstart (local)
Copy files to your OpenClaw host (suggested layout): ~/.openclaw/net/tools/ops-monitor.py ~/.openclaw/net/config/ops-jobs.json ~/.openclaw/net/state/ops-monitor.json (auto-created) You can also run the script from any directory as long as OPENCLAW_HOME points to your OpenClaw state dir (default ~/.openclaw). Start from the example config: ops-jobs.example.json Validate: python3 ops-monitor.py validate-config --config-file ~/.openclaw/net/config/ops-jobs.json python3 ops-monitor.py selftest Run one monitoring tick (prints only; does not send): python3 ops-monitor.py tick --print-only Run periodic ticks via your OS scheduler (launchd/systemd/cron). The script is designed to be called frequently; it decides whether to report based on policy and state.
Job kinds and safety
kind is one of: long_running_read one_shot_read one_shot_write (never auto-executed by ops-monitor) risk is one of: read_only write_local write_external Rules (MVP): long_running_read may auto-resume only when risk=read_only and policy.autoResume=true. one_shot_read may run explicitly or via queue (read-only only). one_shot_write is always blocked from auto-run; it exists as a declarative “approval + verification chain” placeholder.
Status contract (for long_running_read)
Your commands.status must print JSON to stdout, with at least: running (boolean) completed (boolean) Recommended: pid (number) stopReason (string) progress (object) progressKey (string) — stable key used for stall detection level (ok|warn|alert) message (string)
Commands
# Validate config python3 ops-monitor.py validate-config --config-file ~/.openclaw/net/config/ops-jobs.json # Print current statuses (no Telegram) python3 ops-monitor.py status --config-file ~/.openclaw/net/config/ops-jobs.json # One monitoring tick python3 ops-monitor.py tick --config-file ~/.openclaw/net/config/ops-jobs.json # Explicitly start/stop a long job python3 ops-monitor.py start <job_id> --config-file ~/.openclaw/net/config/ops-jobs.json python3 ops-monitor.py stop <job_id> --config-file ~/.openclaw/net/config/ops-jobs.json # Run one one_shot_read job explicitly python3 ops-monitor.py run <job_id> --config-file ~/.openclaw/net/config/ops-jobs.json
Reference docs
Spec (Chinese, detailed): OPS_FRAMEWORK.md
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Docs1 Scripts1 Config
- SKILL.md
- OPS_FRAMEWORK.md
- README.md
- UPSTREAM.md
- ops-monitor.py
- ops-jobs.example.json