Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Kit4Some/Oh-my-ClaudeClaw --skill autonomous-opsgit clone --depth 1 https://github.com/Kit4Some/Oh-my-ClaudeClawWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/kit4some/oh-my-claudeclaw/autonomous-ops)<a href="https://agentmods.dev/skills/kit4some/oh-my-claudeclaw/autonomous-ops"><img src="https://agentmods.dev/badge/skills/kit4some/oh-my-claudeclaw/autonomous-ops/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kit4some/oh-my-claudeclaw/autonomous-ops"><img src="https://agentmods.dev/badge/skills/kit4some/oh-my-claudeclaw/autonomous-ops.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.02381 |
| Opus 5 | $0.00000 | $0.01190 |
| Sonnet 5 | $0.00000 | $0.00476 |
| Haiku 4.5 | $0.00000 | $0.00238 |
Grade A, and why
autonomous-ops scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 318 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: autonomous-ops description: > 24/7 autonomous operation loop combining OMC multi-agent orchestration with OpenClaw-CC's messenger and scheduler. Triggers on "자율 모드", "autonomous", "24/7 모드", "자동 운영", "autonomous mode", "self-driving", "unattended" and similar requests. Polls messenger for user requests, analyzes tasks, dispatches OMC teams for execution, persists results to memory, and reports back via messenger. The crown jewel of OMC × OpenClaw-CC integration.
Autonomous Operations — 24/7 Self-Driving AI Agent Loop
Preamble
Before executing this skill:
-
Load context from memory:
memory_search(query: "{skill-relevant-query}", associative: true, limit: 5) memory_search(tag: "{skill-name}", limit: 3)Review returned memories for relevant past context, decisions, and patterns.
-
Check OMC state for active work:
state_get_status()If conflicting active tasks exist, warn the user before proceeding.
-
Detect current branch (for git-related skills):
git rev-parse --abbrev-ref HEAD 2>/dev/null || echo "not-a-git-repo" -
Check proactive mode:
state_read("occ-proactive")If
"false": do NOT proactively suggest other OpenClaw-CC skills during this session. Only run skills the user explicitly invokes. -
Log skill activation:
memory_daily_log(type: "note", entry: "Skill activated: /{skill-name}")
Role
Operate autonomously as a 24/7 AI agent. Poll for user requests via Discord/Telegram, analyze and execute them using OMC multi-agent teams, persist all results to permanent memory, and report back. Schedule recurring polls to maintain continuous operation.
Prerequisites
- messenger-bot MCP connected (Discord or Telegram tokens configured)
- task-scheduler MCP available
- daemon.sh or systemd service running for cron execution
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 318 lines · 0 tokens per session scan A d84d87f168d1
autonomous-ops is a skill published in the GitHub repository Kit4Some/Oh-my-ClaudeClaw (4 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,381 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
new
Start a new session — save summary to memory, then mark as reset so next message gets a fresh greeting. OpenClaw-compatible. Triggers on /new, /reset, /agent:new, "nueva sesión", "new session", "reset".
usage
Show usage cost summary — session, today, last 30 days. OpenClaw-compatible format. Works from CLI or messaging. Triggers on /usage, /agent:usage, "cuanto gasté", "agent usage", "cost".
assess
Issue triage and status assessment - analyze current state, detect health signals, and recommend next action with full workflow plan.
release
Automates the full release workflow: version bump, git tag, GitHub release, and npm publish.
solve
Deprecated: alias for /assess. Generate the recommended workflow for one or more GitHub issues.
reflect
Strategic reflection on workflow effectiveness and continuous improvement.