agentkit-hybrid-cloud-demo

agentkit-hybrid-cloud-demo is a skill for Codex from bytedance/agentkit-samples. It costs 79 tokens per session (4,035 once invoked), scanned A, original, Apache-2.0.

A project guide for deploying and checking an AgentKit customer-service demo across cloud services. It covers the demo’s runtime, knowledge, memory, sandbox, MCP, skills, and related connections.

In plain words
What is it for?
Use it to deploy or update the demo, connect its cloud components, verify knowledge and memory features, run the local guide and chat interface, and troubleshoot validation problems.
Why use it?
It gives an agent an ordered way to follow the project’s README and included scripts, while stopping when a person must make an account, network, or production change.

Skill for Codex ✓ vendor

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to deploy or update the demo, connect its cloud components, verify knowledge and memory features, run the local guide and chat interface, and troubleshoot validation problems.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bytedance/agentkit-samples/agentkit-hybrid-cloud-demo
About the project

bytedance/agentkit-samples is a collection of examples and tutorials for Volcengine AgentKit, an AI-agent development platform for building, deploying, and operating agent applications. Developers use the samples to learn agent creation, multi-agent collaboration, memory, retrieval, MCP integrations, media generation, customer service, and other workflows. The catalogue skills provide agent workflows based on these examples.

bytedance/agentkit-samples · 450 stars · on GitHub

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 bytedance/agentkit-samples --skill agentkit-hybrid-cloud-demo
Clone the repo
git clone --depth 1 https://github.com/bytedance/agentkit-samples

Made for: Codex.

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.

agentmods badge for agentkit-hybrid-cloud-demo

README.md
[![agentmods](https://agentmods.dev/badge/skills/bytedance/agentkit-samples/agentkit-hybrid-cloud-demo/github.svg)](https://agentmods.dev/skills/bytedance/agentkit-samples/agentkit-hybrid-cloud-demo)
Your own site
<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/agentkit-hybrid-cloud-demo"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/agentkit-hybrid-cloud-demo/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.

agentmods 80×15 button for agentkit-hybrid-cloud-demo

Your own site · 80×15
<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/agentkit-hybrid-cloud-demo"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/agentkit-hybrid-cloud-demo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,035 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 3 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 32
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Agent Snooping · line 109
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • low Tool Misuse · line 29
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
How audits are shown
Origin original 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00079 $0.04035
Opus 5 $0.00039 $0.02018
Sonnet 5 $0.00016 $0.00807
Haiku 4.5 $0.00008 $0.00404

Measured 8d ago against content hash ee1e54fe811a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

agentkit-hybrid-cloud-demo 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 8d 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.

- Verify `${AGENTKIT_OPENAPI_SCHEME:-http}://${AGENTKIT_OPENAPI_HOST}/ping` before deployment. This delivered POC defaults to HTTP; honor an explicit HTTPS setting with normal certificate validation. Never make `curl -k`
python/02-use-cases/hybrid_cloud_customer_service/.agents/skills/agentkit-hybrid-cloud-demo/SKILL.md · 204 lines

How it starts

The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AgentKit Hybrid Cloud Demo

Operating contract

  1. Treat README.md as the customer-facing source of truth. Read the requested step and its linked document before acting.
  2. Start from a clean validation directory. Preserve unrelated or pre-existing changes.
  3. Execute steps in README order unless the user names one specific step. Do not silently skip a failed prerequisite.
  4. Prefer the repository scripts over reconstructed commands:
    • Human-guided Base Runtime: scripts/deploy_interactive.sh
    • Non-interactive/CI Base Runtime: scripts/deploy_hybrid.sh
    • Resource association and release: scripts/bootstrap_platform.py
    • Knowledge/Memory proof: scripts/verify_knowledge_memory.py
    • Local guide and Chat UI: scripts/run_local_ui.sh
  5. Perform safe read-only discovery automatically. Stop for genuine human-only actions such as hosts/DNS changes requiring administrator access, console account switching, model selection, uploading documents, obtaining temporary credentials, or production authorization changes.
  6. Never write or print AK/SK, passwords, Runtime API Keys, model keys, temporary Registry tokens, Bearer tokens, or injected component credentials. Use placeholders in docs and commands.
  7. After each step, report:
    • action and evidence;
    • pass, fail, partial, or blocked;
    • required human action;
    • README/FAQ defect found and the minimal proposed update.

Mandatory safety and validation

  • Verify ${AGENTKIT_OPENAPI_SCHEME:-http}://${AGENTKIT_OPENAPI_HOST}/ping before deployment. This delivered POC defaults to HTTP; honor an explicit HTTPS setting with normal certificate validation. Never make curl -k the customer solution, and clearly distinguish the POC HTTP default from a production HTTPS requirement.
  • Default customer deployment to live. For the sample's default Ark profile, require MODEL_AGENT_API_KEY and resolve the documented default Model Name/API Base. For a custom or real environment, honor explicit API Base, Model Name, and API Key overrides. Inject all three resolved values during launch, fail clearly when the key is absent, and never silently downgrade to demo. Use AGENTKIT_DEPLOY_MODE=demo only when the user explicitly authorizes an infrastructure-only fallback, and label that result incomplete.
  • Keep model values out of the public config, project .env, Git, Docker build context, logs, and prompts. Use the deployment script's transient 0600 config or a platform Runtime Secret.
  • Do not manually docker pull or proactively require docker login. If agentkit launch actually returns token expired, unauthorized, invalid token claims, or authentication required, stop and explicitly guide the user to refresh the target Registry's temporary docker login, confirm Login Succeeded, and rerun launch. This manual login is the required recovery path after an observed authentication failure, not a prohibited action. Never ask the user to paste the token into chat or save it in the repository.
  • Never silently reuse a global Region for Runtime creation. Require the user to confirm VOLCENGINE_REGION, preferably through scripts/deploy_interactive.sh; show any detected global value only as a hint.
  • Before launch, detect an exact same-name Runtime in the confirmed Region. In an interactive session, ask whether to update that Runtime or enter a new unique name; check the new name before creation and never silently overwrite. In automation, require an explicit AGENTKIT_RUNTIME_ID or reuse authorization. Persist only the non-secret launch_types.hybrid.runtime_name and runtime_id after a successful launch so later runs update rather than hit InvalidParameter.DuplicateName; keep endpoint and API/model keys transient.
  • Treat scripts/deploy_interactive.sh as the single first-deployment entry point for a human. It may reuse a confirmed existing CLI target or collect OpenAPI scheme/host, hidden AK/SK, Region, model profile, and hidden model key interactively. Do not require users to prepare exports or an Agent Prompt for this first deployment. After it succeeds, route later validation and capability work through the roadmap Prompts, which load this project Skill.
  • Build and publish linux/amd64, including from Apple Silicon.
  • Treat agentkit launch output as insufficient proof. Require Runtime Ready, service RUNNING, health Healthy, and a successful /invoke.
  • Distinguish connection transport from Agent data mode: transport=remote, mode=demo proves the remote Runtime was called but still uses the deterministic demo; only transport=remote, mode=live proves the live Agent data plane handled the request.
  • After runtime update, run runtime release and wait for Ready/Healthy.
  • List platform resources with explicitly limited non-sensitive fields. Never dump full Tool JSON or environment variables.
  • Do not delete, destroy, reset, or overwrite resources unless the user explicitly authorizes the exact target.

Read the full file on GitHub · 204 lines

Files

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.

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.

  1. 8d ago First seen · 204 lines · 79 tokens per session scan A ee1e54fe811a

Subscribe to this mod's changes

agentkit-hybrid-cloud-demo is a skill published in the GitHub repository bytedance/agentkit-samples (450 stars, last pushed 5d ago), licensed Apache-2.0. It adds 79 tokens to every session and 4,035 once invoked, about $0.0004 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 2026-08-31.

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