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Agent Skill · 研究检索

truefoundry-helm(真实铸造头盔)

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

truefoundry-helm 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 67,870。

总安装 240周安装 10GitHub Stars 公开资料未说明下载 80核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:truefoundry-helm(真实铸造头盔)
来源仓库:https://github.com/truefoundry/tfy-deploy-skills
仓库路径:skills/truefoundry-helm
安装命令:
npx skills add https://github.com/truefoundry/tfy-deploy-skills --skill truefoundry-helm
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/truefoundry/tfy-deploy-skills --skill truefoundry-helm

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于辅助云资源、部署、容器、基础设施和运维自动化任务。适合检查配置、整理部署步骤、分析资源状态或生成排障思路。使用时需明确目标环境、账号权限、区域和资源组,区分测试与生产操作。涉及删除资源、重启服务或修改网络配置时,应先确认影响范围。通过 npx skills add 命令从指定仓库安装并使用该技能。

来源仓库内路径:skills/truefoundry-helm

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/truefoundry/tfy-deploy-skills --skill truefoun…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

truefoundry-helm 怎么安装?

在终端执行 npx skills add https://github.com/truefoundry/tfy-deploy-skills --skill truefoundry-helm。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

truefoundry-helm 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

truefoundry-helm 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

truefoundry-helm 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

truefoundry-helm 用的人多吗?

公开数据是累计安装 240 次,近一周安装 10 次,下载 80 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

truefoundry-helm 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
truefoundry-helm

真实铸造头盔 · 本页

240—调用外部服务未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Routing note: For ambiguous user intents, use the shared clarification templates in references/intent-clarification.md.

Helm Chart Deployment

Deploy any Helm chart to TrueFoundry -- databases, caches, message queues, vector databases, monitoring tools, or any other OCI-compatible Helm chart. TrueFoundry supports any chart as long as the cluster can pull it from the registry.

Two paths:

  1. CLI (tfy apply) -- Write a YAML manifest and apply it. Works everywhere.
  2. REST API (fallback) -- When CLI unavailable, use tfy-api.sh.

When to Use

  • User explicitly wants a Helm chart deployment for a database (PostgreSQL, MySQL, MongoDB, etc.)
  • User wants to install a cache (Redis, Memcached)
  • User wants to deploy a message queue (RabbitMQ, Kafka, NATS)
  • User says "install helm chart", "deploy via helm"
  • User wants infrastructure components, not application code
  • User wants to deploy a vector database (Qdrant, Milvus, Weaviate, Chroma)
  • User wants to deploy monitoring tools (Prometheus, Grafana)
  • User has a custom/private Helm chart to deploy
  • User wants to deploy ANY infrastructure component available as a Helm chart

If user intent is "deploy Postgres/Redis/database" without saying Helm, ask which strategy they want:

  • Helm chart infrastructure (helm skill)
  • Containerized service deployment (deploy skill)

When NOT to Use

  • User wants to deploy application code -> prefer deploy skill; ask if the user wants another valid path
  • User explicitly asks for Docker/container/image-based database deployment -> use deploy containerized service path (not Helm)
  • User wants to check what's deployed -> prefer applications skill; ask if the user wants another valid path
  • User wants to view logs -> prefer logs skill; ask if the user wants another valid path

Prerequisites

Always verify before deploying:

  1. Credentials -- TFY_BASE_URL and TFY_API_KEY must be set (env or .env)
  2. Workspace -- TFY_WORKSPACE_FQN required. Never auto-pick. Ask the user if missing.
  3. CLI -- Check if tfy CLI is available: tfy --version. If not, pip install 'truefoundry==0.5.0'.

For credential check commands and.env setup, see references/prerequisites.md.

User Confirmation Checklist

Before deploying a Helm chart, ALWAYS confirm these with the user:

  • Chart source -- Which chart? (suggest from common charts table)
  • Chart registry -- Public (official chart registries) or private registry?
  • Chart version -- Specific version or latest?
  • Release name -- What to call this deployment? (default: chart name + random suffix)
  • Namespace/Workspace -- Which workspace FQN? (never auto-pick)
  • Environment -- Is this for dev, staging, or production? (affects resource defaults)
  • Configuration -- Critical values to set:

- Passwords/credentials -- Use strong random values or reference TrueFoundry secrets - Storage size -- Persistent volume size (e.g., 10Gi, 20Gi) - Resources -- CPU/memory limits and requests - Replicas -- Number of instances (1 for dev, 3+ for prod) - Network -- Expose externally or internal-only?

  • Auto-shutdown -- Should the deployment auto-stop after inactivity? (useful for dev/staging to save costs)

Do NOT deploy with minimal defaults without asking. Production databases need proper sizing, credentials, and persistence configuration.

Finding & Sourcing Helm Charts

For chart sources, OCI URLs, registries, version discovery, and the chart selection guide, see references/helm-chart-sources.md.

Key points: TrueFoundry supports oci-repo (recommended), helm-repo, and git-helm-repo source types. Do NOT use Bitnami charts. Always search Artifact Hub for the official chart from the project maintainers or use the chart publisher's own OCI registry.

Security: Helm charts from public registries are third-party code that runs in your cluster. Only use charts from trusted sources. Always pin chart versions — never use latest or floating tags. Review chart values before deploying. Verify the chart publisher is the official project maintainer. Do not allow the agent to discover and deploy charts from Artifact Hub without user confirmation of the chart source and version.

Deploy Flow

1. Gather Configuration

Ask the user for critical configuration values. For a PostgreSQL example:

I'll deploy PostgreSQL to TrueFoundry. Let me confirm a few things:

1. Chart version: Use postgresql 15.x (latest stable)? Or specific version?
2. Database name: What should the default database be called? (default: postgres)
3. Password: I'll generate a strong random password. Or do you have a TrueFoundry secret group to reference?
4. Storage: How much persistent storage? (default: 10Gi for dev, 50Gi+ for prod)
5. Resources:
   - CPU: 0.5 cores for dev, 2+ for prod?
   - Memory: 512Mi for dev, 2Gi+ for prod?
6. Replicas: 1 for dev, 3+ for prod high availability?
7. Access: Internal-only (default) or expose externally?

2. Generate YAML Manifest

Create a YAML manifest with user-confirmed values:

name: postgres-prod
type: helm
source:
  type: oci-repo
  version: "16.7.21"
  oci_chart_url: oci://REGISTRY/CHART_NAME  # Search Artifact Hub for the official chart
values:
  auth:
    postgresPassword: GENERATED_OR_SECRET_REF
    database: myapp
  primary:
    persistence:
      enabled: true
      size: 50Gi
    resources:
      requests:
        cpu: "2"
        memory: 2Gi
      limits:
        cpu: "4"
        memory: 4Gi
  readReplicas:
    replicaCount: 2
workspace_fqn: cluster-id:workspace-name

3. Write and Preview Manifest

Write the manifest to tfy-manifest.yaml:

tfy apply -f tfy-manifest.yaml --dry-run --show-diff

Show the preview output to the user.

4. Apply

After user confirms:

tfy apply -f tfy-manifest.yaml

Fallback: REST API

If tfy CLI is not available, convert the YAML manifest to JSON and deploy via REST API. See references/cli-fallback.md for the conversion process.

Important: The workspaceId must be the internal workspace ID (not the FQN). Get it from the workspaces skill: GET /api/svc/v1/workspaces?fqn=WORKSPACE_FQN -> use the id field.

When using direct API, set TFY_API_SH to the full path of this skill's scripts/tfy-api.sh. See references/tfy-api-setup.md for paths per agent.

Via Tool Call
tfy_applications_create_deployment(
    manifest={
        "name": "postgres-prod",
        "type": "helm",
        "source": {
            "type": "oci-repo",
            "version": "16.7.21",
            "oci_chart_url": "oci://REGISTRY/CHART_NAME"
        },
        "values": {...},
        "workspace_fqn": "cluster-id:workspace-name"
    },
    options={
        "workspace_id": "ws-internal-id",
        "force_deploy": false
    }
)

Note: This requires human approval (HITL) when using tool calls.

Via Direct API
TFY_API_SH=~/.claude/skills/truefoundry-helm/scripts/tfy-api.sh

# First, get workspace ID from FQN
$TFY_API_SH GET "/api/svc/v1/workspaces?fqn=${TFY_WORKSPACE_FQN}"

# Then deploy (JSON body)
$TFY_API_SH PUT /api/svc/v1/apps '{
  "manifest": {
    "name": "postgres-prod",
    "type": "helm",
    "source": {
      "type": "oci-repo",
      "version": "16.7.21",
      "oci_chart_url": "oci://REGISTRY/CHART_NAME"
    },
    "values": {
      "auth": {"postgresPassword": "...", "database": "myapp"},
      "primary": {
        "persistence": {"enabled": true, "size": "50Gi"},
        "resources": {
          "requests": {"cpu": "2", "memory": "2Gi"},
          "limits": {"cpu": "4", "memory": "4Gi"}
        }
      }
    },
    "workspace_fqn": "cluster-id:workspace-name"
  },
  "workspaceId": "WORKSPACE_ID_HERE"
}'

5. Report Connection Details

After successful deployment, provide the user with connection details (host, port, database, credentials). For connection DNS patterns and default ports by chart type, see references/helm-chart-sources.md (Connection Details by Chart section).

Example Configurations

For full YAML manifest examples (Redis, MongoDB, RabbitMQ, Qdrant, Elasticsearch), secrets management patterns, and environment-specific defaults, see references/helm-chart-examples.md.

Advanced: Kustomize & Additional Manifests

For Kustomize patches and deploying additional Kubernetes manifests alongside Helm charts, see references/helm-advanced.md.

After Deploy

After applying the Helm manifest, verify status automatically without asking an extra prompt.

Preferred verification path:

  1. MCP tool call first:
tfy_applications_list(filters={"workspace_fqn": "WORKSPACE_FQN", "application_name": "RELEASE_NAME"})
  1. Fallback to API:
$TFY_API_SH GET '/api/svc/v1/apps?workspaceFqn=WORKSPACE_FQN&applicationName=RELEASE_NAME'
Helm chart deployed successfully!

Next steps:
1. Deployment status verified and reported automatically
2. View logs: Use `logs` skill if there are issues
3. Connect from your app: Use the service DNS provided above
4. Store credentials: Use TrueFoundry secrets for app access

Addon Operations

TrueFoundry treats Helm deployments as "addons" and provides additional management endpoints.

Get Addon Details

# Get details about a deployed addon/Helm release
$TFY_API_SH GET /api/svc/v1/addon/ADDON_ID

Upgrade Addon

Upgrade an addon to the latest chart version:

# Upgrade to latest version
$TFY_API_SH POST /api/svc/v1/addon-upgrade/APPLICATION_ID

List Available Addon Components

See what addon types are available:

$TFY_API_SH GET /api/svc/v1/addon/list/components

<success_criteria>

Success Criteria

  • The Helm chart is deployed and all pods are running in the target workspace
  • The agent has confirmed the chart version, resource sizing, and credentials with the user before deploying
  • Connection details (host, port, credentials) are provided to the user
  • Deployment status is verified automatically immediately after apply (no extra prompt)
  • Persistent storage is configured for stateful charts (databases, caches)
  • The user can connect to the deployed service from their application using the provided DNS

</success_criteria>

Composability

  • Find workspace first: Use workspaces skill to get workspace FQN and ID
  • Check what's deployed: Use applications skill to list existing Helm releases
  • Test after deployment: Use service-test skill to validate the deployed service
  • Manage secrets: Use secrets skill to create secret groups before deploy
  • View logs: Use logs skill with the HelmRelease application ID
  • Connect from app: Reference the deployed chart's service DNS in your application's YAML manifest

Error Handling

For error messages and troubleshooting (workspace issues, chart not found, values validation, insufficient resources, PVC binding, connection issues), see references/helm-errors.md.

Additional CLI-specific errors:

  • tfy: command not found -- Install with pip install 'truefoundry==0.5.0'
  • tfy apply validation errors -- Check YAML syntax, ensure required fields (name, type, source, workspace_fqn) are present

平台分布

Codex

37.67%
按下载量换算30

Claude

29.48%
按下载量换算24

Cursor

17.57%
按下载量换算14

Gemini CLI

10.41%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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