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/tencentcloudbase/cloudbase-ai-toolkit/cloudbasenpx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill cloudbasegit clone --depth 1 https://github.com/TencentCloudBase/CloudBase-AI-ToolkitWhat 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 | $0.00331 | $0.02988 |
| Opus 5 | $0.00166 | $0.01494 |
| Sonnet 5 | $0.00066 | $0.00598 |
| Haiku 4.5 | $0.00033 | $0.00299 |
Grade A, and why
cloudbase 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 2d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- cloudbase — 95% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CloudBase Development Guidelines
Workflow
1. Exploration → Read the matching skill completely before writing any code.
Search with searchKnowledgeBase(mode="skill"), then Read full SKILL.md.
2. Implementation
├── 2a. Resource preparation → Prefer MCP; if MCP tools are missing in THIS session,
│ configure MCP for next session and use `tcb` CLI now (see tooling-fallback.md)
└── 2b. Frontend implementation → Write code, install deps, start server, test
3. Close-out → Run cloudbase-code-review, fix errors, declare done
Key constraints: Stage 2a must precede frontend code. Stage 3 is mandatory.
Activation Contract
Routing uses stable skill ids (auth-tool-cloudbase, auth-web-cloudbase, http-api-cloudbase, …) across source, generated artifacts, and installs.
Standalone skill fallback
If only one published skill is exposed:
- Prefer local relative paths (
references/<skill-id>/SKILL.mdor sibling skill directories) when those files exist in the workspace. - Do not fetch sibling skill markdown from remote raw URLs into the agent context.
- If a required sibling skill is missing locally, ask the user to install the full CloudBase skills pack or IDE plugin (
npx skills add tencentcloudbase/cloudbase-skills), then continue using local files only.
Follow relative references/... paths from the current skill. If MCP is unavailable in this session, follow references/tooling-fallback.md: configure MCP via references/mcp-setup.md for the next session, and use tcb CLI via the cloudbase-cli skill (read core.md + the matching domain reference — not tcb deploy) to finish login/manage now. If npm/npx are missing, follow the “No npm/npx” section in tooling-fallback.md.
Global rules before action
- Identify the scenario, then read the matching skill before writing code or calling CloudBase APIs.
- Prefer semantic sources for toolkit maintenance; express runtime routing in stable skill ids.
- Prefer MCP or mcporter for management tasks when those tools are available in this session; inspect tool schemas before execution. If they are not available yet, do not stall — use the CLI fallback in
references/tooling-fallback.md. - UI tasks: read
ui-designfirst and output the design spec before interface code. - Auth tasks: read
auth-tool-cloudbasefirst and enable providers before frontend implementation. - Keep auth domains separate: management login uses
auth(ortcb loginwhen MCP auth is unavailable); app-side auth usesqueryAppAuth/manageAppAuth.
What ships with it
6 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.
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.
- 2d ago First seen · 127 lines · 331 tokens per session scan A 42be0d347aa4
cloudbase is a skill published in the GitHub repository TencentCloudBase/CloudBase-AI-Toolkit (1,087 stars, last pushed yesterday), licensed MIT. It adds 331 tokens to every session and 2,988 once invoked, about $0.0017 per session on Opus 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.
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browse-and-evaluate
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specflow-use
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loop-engineering
Shared loop-engineering reference for COG skills - the agent loop, deterministic verifiers, termination conditions, in-loop context management, and named patterns. Invoke when designing or debugging a skill that iterates (search-verify-retry, scan-until-dry, fetch-retry-gate).
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