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/install to-agent-service-designer
Description
Design, analyze, or document products where AI agents are the primary operator. Use this skill whenever the user asks to design a SaaS, API, platform, or too...
Usage Guidance
This skill is a coherent, instruction-only design guide and does not ask for credentials or install code — overall low risk. Before using its copy-paste examples in production: (1) avoid storing API keys in plaintext files or unprotected env vars; prefer secret managers and rotated tokens; (2) do not blindly execute curl/install commands from unknown URLs without reviewing the target; (3) when producing a Skill Spec for a real service, include clear security controls (token scopes, rotation, human approval gates) rather than the minimal examples; (4) if you allow agents to act autonomously with services built from these specs, enforce human-in-the-loop approval for sensitive actions. If you want a deeper audit, provide any real SKILL.md you intend to publish (the actual URLs, install commands, and auth flows) and I can point out specific insecure patterns.
Capability Analysis
Type: OpenClaw Skill
Name: to-agent-service-designer
Version: 1.0.0
The skill is a comprehensive design framework for creating 'agent-native' services, providing structured templates and instructions for building machine-readable interfaces. It emphasizes security best practices, such as requiring explicit security warnings and authentication contracts in the services being designed. No malicious code, data exfiltration, or suspicious execution patterns were found in SKILL.md or the supporting documentation.
Capability Assessment
Purpose & Capability
Name/description (agent-native product design) matches the content: SKILL.md, README, and examples are all design guidance. The skill declares no binaries, env vars, or installs — which is reasonable for a documentation/design helper.
Instruction Scope
The SKILL.md prescribes how service authors should structure skill bundles, including explicit guidance on install curl commands, credential storage paths (e.g., ~/.config/<service>/credentials.json or env var), and sample registration flows. This is within scope for a design skill, but it explicitly encourages concrete credential storage patterns and copy-paste install commands — practices that could lead to insecure deployments if followed blindly.
Install Mechanism
No install spec or code files are present; the skill is instruction-only. That minimizes filesystem/execution risk.
Credentials
The skill requests no environment variables or secrets. However, it instructs authors to document credential locations and example auth flows (including env var usage) in SKILL.md files; this is expected for a design guide but could encourage designs that rely on storing secrets in plain files or env vars unless the designer adds secure alternatives.
Persistence & Privilege
always is false and the skill does not request persistent presence or modify agent/system configs. Autonomous invocation is allowed by platform default but is not combined with any risky privileges here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install to-agent-service-designer - After installation, invoke the skill by name or use
/to-agent-service-designer - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of the To-Agent Service Designer skill.
- Provides a structured framework to design, analyze, or document products where AI agents are the primary users.
- Outlines required design principles, modeling defaults, and key differences from human-first SaaS design.
- Defines the essential output structure, including VISION, Frontend, Onboarding, Backend, and a detailed Skill Spec.
- Details the required files for agent-native service specs (SKILL.md, auth.md, openapi.json, skill.json) and optional extensions.
- Provides explicit instructions for agent-first communication, security warnings, onboarding flows, and verification/anti-abuse measures.
- Includes templates, writing rules, and metadata schema for consistent agent-native service documentation.
Metadata
Frequently Asked Questions
What is TASD?
Design, analyze, or document products where AI agents are the primary operator. Use this skill whenever the user asks to design a SaaS, API, platform, or too... It is an AI Agent Skill for Claude Code / OpenClaw, with 90 downloads so far.
How do I install TASD?
Run "/install to-agent-service-designer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is TASD free?
Yes, TASD is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does TASD support?
TASD is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created TASD?
It is built and maintained by Sors (@rare-sors); the current version is v1.0.0.
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