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/cloudrun-developmentnpx skills add TencentCloudBase/CloudBase-AI-Toolkit --skill cloudrun-developmentgit 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 | $0.00099 | $0.06761 |
| Opus 5 | $0.00049 | $0.03381 |
| Sonnet 5 | $0.00020 | $0.01352 |
| Haiku 4.5 | $0.00010 | $0.00676 |
Grade A, and why
cloudrun-development 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
2 near-identical copies found in the catalogue:
- cloudrun-development — 100% identical, 0 lines differ
- cloudrun-development — 98% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 385 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sibling skills (local only)
Sibling CloudBase skills ship beside this skill. Use local relative paths such as ../auth-tool-cloudbase/SKILL.md.
If a referenced sibling skill file is missing from this environment, ask the user to install the full CloudBase plugin (or the missing skill). Do not HTTP-fetch remote skill or protocol markdown into the agent context.
Cross-cutting protocols (required before writing HTTP handlers or deploying images):
- Sensitive Runtime Data Protection:
../cloudbase-platform/references/protocols/sensitive-runtime-data-protection.md - Deployment Gate:
../cloudbase-platform/references/protocols/deployment-gate.md
CloudBase Run Development
Activation Contract
Use this first when
- The task is to initialize, run, deploy, inspect, or debug a CloudBase Run service.
- The request needs a long-lived HTTP service, SSE, WebSocket, custom system dependencies, or container-style deployment.
- The task is to create or run an Agent service on CloudBase Run.
- The task migrates an existing / GitHub / third-party backend that uses classic
DATABASE_URL/ TCP database clients. - The service requires a stable independent process (long connections, custom runtime, VPC database access) — see the 「云托管 vs HTTP 云函数」 decision section below. A Dockerfile alone is not a strong trigger.
Read before writing code if
- You still need to choose between Function mode and Container mode.
- The prompt mentions
queryCloudRun,manageCloudRun, Dockerfile, service domains, or public/private access. - The app depends on MySQL, PostgreSQL, Redis, or other VPC-private resources over TCP → also read
references/vpc-and-database.md. - You are choosing between CloudRun and HTTP cloud functions for a stateless HTTP service.
- Container deploy fails (
deploy_failed, Pod not ready, readiness/probe failed, third-partyimageUrlwon't stay up) → also readreferences/image-deploy-troubleshooting.mdand follow the Container deploy failure SOP below. Do not start by raisingInitialDelaySeconds.
What ships with it
2 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 · 385 lines · 99 tokens per session scan A 9f1b9f7f63df
cloudrun-development is a skill published in the GitHub repository TencentCloudBase/CloudBase-AI-Toolkit (1,087 stars, last pushed yesterday), licensed MIT. It adds 99 tokens to every session and 6,761 once invoked, about $0.0005 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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