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 agentmods add skills/agenticaiplan/agenticaiskills/cloud-instance-opsnpx skills add AgenticAIPlan/AgenticAISkills --skill cloud-instance-opsgit clone --depth 1 https://github.com/AgenticAIPlan/AgenticAISkillsWrote 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/agenticaiplan/agenticaiskills/cloud-instance-ops)<a href="https://agentmods.dev/skills/agenticaiplan/agenticaiskills/cloud-instance-ops"><img src="https://agentmods.dev/badge/skills/agenticaiplan/agenticaiskills/cloud-instance-ops.svg" alt="Measured on agentmods" 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 | $0.00109 | $0.02905 |
| Opus 5 | $0.00055 | $0.01452 |
| Sonnet 5 | $0.00022 | $0.00581 |
| Haiku 4.5 | $0.00011 | $0.00291 |
Grade A, and why
cloud-instance-ops scanned grade A with 1 finding 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 3d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
4. **Example-request acceptance**: rerun the exact original `curl` or request shape from the task prompt How it starts
The opening of the file, as written. The whole thing — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cloud Instance Ops
Overview
Use this skill to manage cloud servers and instances like a careful human operator within the current authorization boundary. Prefer SSH and official cloud CLIs. Do not try to bypass MFA, SSO, approval workflows, captchas, IP allowlists, bastions, or least-privilege controls.
This skill is optimized for a shared core workflow that can be reused in Codex, OpenClaw, and Claude Code. Codex-specific UI metadata lives in agents/openai.yaml; the operational logic stays in this SKILL.md plus the bundled references and scripts.
Use this skill when
- You need to connect to a Linux instance through SSH, password SSH,
ProxyJump, or a bastion. - You need file transfer, service/process checks, log inspection, restart operations, or access troubleshooting on an existing instance.
- You need AWS EC2 or Aliyun ECS instance inspection or other cloud-side checks through the official CLI.
- You need to deploy a model, stand up an API, validate output artifacts, or run cloud-side mutating actions and the user has explicitly asked for that path.
Required inputs
Normalize each request into these five inputs before acting:
- Target object: host/IP, instance ID, region, environment, bastion
- Cloud environment: generic Linux, AWS, or Aliyun
- Authentication method: SSH key, password SSH, agent, AWS profile, Aliyun profile, short-lived token, SSO
- Restrictions: MFA, approval, allowlist, no public route, read-only, captcha, missing CLI, shared GPU/port use
- Requested action: connect, transfer, inspect, logs, restart, deploy, single-run, serve, accept, instance-check, cloud-op
Treat deploy, single-run, serve, accept, and cloud-op as explicit-action modes. Do not enter them from a vague “帮我看看机器” style request without confirming intent from the user prompt or environment.
If an input is missing, infer it from the environment first. Ask the user only for the minimum missing detail.
Core operating model
What ships with it
16 files 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.
- agents/openai.yaml 296 B
- references/aliyun.md 1.5 KB
- references/aws.md 1.5 KB
- references/generic-linux.md 1.2 KB
- references/install-and-examples.md 5.9 KB
- references/interrupted-run-recovery.md 1.0 KB
- references/model-deployment.md 1.8 KB
- references/restricted-access.md 1.6 KB
- references/shared-runtime-hygiene.md 1.2 KB
- scripts/artifact_check.py 3.2 KB runs code
- scripts/deployment_final_check.py 3.3 KB runs code
- scripts/normalize_result.py 2.9 KB runs code
- scripts/password_ssh.py 19 KB runs code
- scripts/preflight.py 12 KB runs code
- scripts/remote_port_owner.py 2.0 KB runs code
- scripts/ssh_probe.py 3.5 KB runs code
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.
- 3d ago First seen · 267 lines · 109 tokens per session scan A 77332b80b79e
cloud-instance-ops is a skill published in the GitHub repository AgenticAIPlan/AgenticAISkills (11 stars, last pushed 3mo ago), licensed MIT. It adds 109 tokens to every session and 2,905 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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