A cloud-operations assistant for Tencent Cloud, AWS, Alibaba Cloud, and other cloud providers. Its description is in Chinese and covers architecture advice, cloud-resource queries, cost and security checks, monitoring, diagnosis, and operations workflows.

Use it for architecture reviews, resource inventories, cost optimization, security and compliance checks, capacity monitoring, cloud diagnosis, incident warning, and related Tencent Cloud operations.

It helps investigate and manage resources spread across multiple cloud services from operations or chat-based workflows.

cloudq — Skill for Claude Code by bighardperson

Install

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.

Any agent

npx skills add bighardperson/computer-science-skills-collection --skill cloudq

Clone the repo

git clone --depth 1 https://github.com/bighardperson/computer-science-skills-collection

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/bighardperson/computer-science-skills-collection/cloudq/github.svg)](https://agentmods.dev/skills/bighardperson/computer-science-skills-collection/cloudq)

Your own site

<a href="https://agentmods.dev/skills/bighardperson/computer-science-skills-collection/cloudq"><img src="https://agentmods.dev/badge/skills/bighardperson/computer-science-skills-collection/cloudq/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/bighardperson/computer-science-skills-collection/cloudq"><img src="https://agentmods.dev/badge/skills/bighardperson/computer-science-skills-collection/cloudq.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 132 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 8,481 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin unknown No closer match found in the catalogue.

Token cost

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	$0.00132	$0.08481
Opus 5.5	$0.00053	$0.03392
Sonnet 5.5	$0.00026	$0.01696
Haiku 4.5	$0.00013	$0.00848

Measured 1mo ago against content hash f399ec5af4ab, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cloudq 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 1mo ago.

The scan reads SKILL.md. This mod also ships 10 executable files (check_env.py, references/plugins/tsa-risk/scripts/generate_report_default.py, references/plugins/tsa-risk/scripts/html_to_png.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/CloudQ/SKILL.md · 632 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

26 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.

Changes

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.

1mo ago First seen · 632 lines · 132 tokens per session scan A f399ec5af4ab

Subscribe to this mod's changes

cloudq is a skill published in the GitHub repository bighardperson/computer-science-skills-collection (63 stars, last pushed 6mo ago), with no licence file. It adds 132 tokens to every session and 8,481 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-08-30.

Claude Code Cloud DevOps and cloud ai-agent automation awesome-list computer-science developer-tools

awesome-azd-template-submit

Submit or retire an azd template in the awesome-azd gallery. Use when asked to submit, add, contribute, remove, retire, or clean up a template in awesome-azd. New submissions require only a GitHub repository URL — all metadata (title, description, languages, frameworks, Azure services, IaC) is auto-detected by the…

Azure/awesome-azd · 83 tokens

enterprise-agent-ops

Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.

hashgraph-online/awesome-codex-plugins · 21 tokens

agents-v2-py

Build container-based Foundry Agents with Azure AI Projects SDK (ImageBasedHostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry.

lingxling/awesome-skills-cn · 39 tokens

bailian-train-deploy

A workflow for using Alibaba Cloud’s Bailian command-line tool to fine-tune or directly deploy AI models as callable services. It covers text, speech-synthesis, image-generation, and video-generation models.

modelstudioai/skills · 321 tokens

deploy

Render Quarto slides and sync to docs/ for GitHub Pages deployment. Use when deploying lecture slides after making changes.

brycewang-stanford/Auto-Empirical-Research-Skills · 26 tokens

infrastructure-as-code

Define, deploy, and manage cloud infrastructure as code using tools like Terraform, Pulumi, CloudFormation, and CDK, ensuring consistency, repeatability, and version control. Use when the user requests infrastructure as code or provides relevant inputs for this workflow.

seb1n/awesome-ai-agent-skills · 56 tokens