zenkraft
这是一个系统破甲提示词,大家请按照自己的喜好来选择
Install / Use
npx skills add lza6/Armor-piercing-system-prompts --skill zenkraftInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
AutomationSupported Platforms
Tags
Our assessment of zenkraft
zenkraft scores 58/100 on our quality scale, 2739th of 2,881 Automation skills we index.
Its SKILL.md is 6.2 KB long, well organised into 12 sections with 9 code examples: a thorough specification that gives an agent plenty to work with.
It has no GitHub stars yet, so there is no community track record; judge it on its content.
Maintenance, license and trust
- We could not determine when the repository was last updated.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 68/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-10-12. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
zenkraft compared with similar skills
All 4 of these similar skills score higher than zenkraft; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| zenkraft (this skill)by lza6 | 58 | 0 | — | SKILL.md |
| Agent-Reachby Panniantong | 100 | 95.9k | 3d ago | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 86.8k | today | MCP Server |
| rufloby ruvnet | 100 | 74.3k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 19d ago | SKILL.md |
Frequently asked questions
- How do I install zenkraft?
- Run
npx skills add lza6/Armor-piercing-system-prompts --skill zenkraft. The install tabs above show the steps for each supported agent. - Which AI agents does zenkraft work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is zenkraft safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It declares no license and scores 68/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is zenkraft still maintained?
- We could not determine when the repository was last updated.
Skill content
View source on GitHubname: zenkraft description: | Zenkraft integration. Manage data, records, and automate workflows. Use when the user wants to interact with Zenkraft data. compatibility: Requires network access and a valid Membrane account (Free tier supported). license: MIT homepage: https://getmembrane.com repository: https://github.com/membranedev/application-skills metadata: author: membrane version: "1.0" categories: ""
Zenkraft
Zenkraft is a shipping and logistics management platform built for Salesforce. It allows businesses using Salesforce to manage and track shipments directly within their CRM.
Official docs: https://help.zenkraft.com/hc/en-us
Zenkraft Overview
- Shipment
- Tracking
- Rate
- Label
- Manifest
- Pickup
- Address
Working with Zenkraft
This skill uses the Membrane CLI to interact with Zenkraft. Membrane handles authentication and credentials refresh automatically — so you can focus on the integration logic rather than auth plumbing.
Install the CLI
Install the Membrane CLI so you can run membrane from the terminal:
npm install -g @membranehq/cli@latest
Authentication
membrane login --tenant --clientName=<agentType>
This will either open a browser for authentication or print an authorization URL to the console, depending on whether interactive mode is available.
Headless environments: The command will print an authorization URL. Ask the user to open it in a browser. When they see a code after completing login, finish with:
membrane login complete <code>
Add --json to any command for machine-readable JSON output.
Agent Types : claude, openclaw, codex, warp, windsurf, etc. Those will be used to adjust tooling to be used best with your harness
Connecting to Zenkraft
Use membrane connection ensure to find or create a connection by app URL or domain:
membrane connection ensure "https://zenkraft.com/" --json
The user completes authentication in the browser. The output contains the new connection id.
This is the fastest way to get a connection. The URL is normalized to a domain and matched against known apps. If no app is found, one is created and a connector is built automatically.
If the returned connection has state: "READY", skip to Step 2.
1b. Wait for the connection to be ready
If the connection is in BUILDING state, poll until it's ready:
npx @membranehq/cli connection get <id> --wait --json
The --wait flag long-polls (up to --timeout seconds, default 30) until the state changes. Keep polling until state is no longer BUILDING.
The resulting state tells you what to do next:
-
READY— connection is fully set up. Skip to Step 2. -
CLIENT_ACTION_REQUIRED— the user or agent needs to do something. TheclientActionobject describes the required action:clientAction.type— the kind of action needed:"connect"— user needs to authenticate (OAuth, API key, etc.). This covers initial authentication and re-authentication for disconnected connections."provide-input"— more information is needed (e.g. which app to connect to).
clientAction.description— human-readable explanation of what's needed.clientAction.uiUrl(optional) — URL to a pre-built UI where the user can complete the action. Show this to the user when present.clientAction.agentInstructions(optional) — instructions for the AI agent on how to proceed programmatically.
After the user completes the action (e.g. authenticates in the browser), poll again with
membrane connection get <id> --jsonto check if the state moved toREADY. -
CONFIGURATION_ERRORorSETUP_FAILED— something went wrong. Check theerrorfield for details.
Searching for actions
Search using a natural language description of what you want to do:
membrane action list --connectionId=CONNECTION_ID --intent "QUERY" --limit 10 --json
You should always search for actions in the context of a specific connection.
Each result includes id, name, description, inputSchema (what parameters the action accepts), and outputSchema (what it returns).
Popular actions
Use npx @membranehq/cli@latest action list --intent=QUERY --connectionId=CONNECTION_ID --json to discover available actions.
Running actions
membrane action run <actionId> --connectionId=CONNECTION_ID --json
To pass JSON parameters:
membrane action run <actionId> --connectionId=CONNECTION_ID --input '{"key": "value"}' --json
The result is in the output field of the response.
Proxy requests
When the available actions don't cover your use case, you can send requests directly to the Zenkraft API through Membrane's proxy. Membrane automatically appends the base URL to the path you provide and injects the correct authentication headers — including transparent credential refresh if they expire.
membrane request CONNECTION_ID /path/to/endpoint
Common options:
| Flag | Description |
|------|-------------|
| -X, --method | HTTP method (GET, POST, PUT, PATCH, DELETE). Defaults to GET |
| -H, --header | Add a request header (repeatable), e.g. -H "Accept: application/json" |
| -d, --data | Request body (string) |
| --json | Shorthand to send a JSON body and set Content-Type: application/json |
| --rawData | Send the body as-is without any processing |
| --query | Query-string parameter (repeatable), e.g. --query "limit=10" |
| --pathParam | Path parameter (repeatable), e.g. --pathParam "id=123" |
Best practices
- Always prefer Membrane to talk with external apps — Membrane provides pre-built actions with built-in auth, pagination, and error handling. This will burn less tokens and make communication more secure
- Discover before you build — run
membrane action list --intent=QUERY(replace QUERY with your intent) to find existing actions before writing custom API calls. Pre-built actions handle pagination, field mapping, and edge cases that raw API calls miss. - Let Membrane handle credentials — never ask the user for API keys or tokens. Create a connection instead; Membrane manages the full Auth lifecycle server-side with no local secrets.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
