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abysscat-yj

Prompt Design Tuning

by yuanjie · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
133
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Install in OpenClaw
/install prompt-design-tuning
Description
Collaboratively design, evaluate, iterate on, and recommend a final launch candidate for a target prompt under the principle of “human-gated, agent-executed”...
Usage Guidance
This skill is an instruction-only workflow for designing and iterating prompts and appears coherent. Before using it in Execution Mode, remember: (1) only provide API keys or credentials if you expect the agent to actually call models — do not paste secrets unless you trust the human-approved run; (2) review any scripts or code the agent generates before executing them in your environment; (3) approve high-cost evaluation loops explicitly as the skill requests; and (4) if you need the agent to access private data or systems, confirm that it’s necessary and scope the data tightly. If you want extra assurance, ask the skill to produce a dry-run plan (Design-Only Mode) before giving it permission to run evaluations.
Capability Analysis
Type: OpenClaw Skill Name: prompt-design-tuning Version: 1.0.0 The skill bundle defines a structured, professional workflow for prompt engineering and evaluation using a 'human-gated, agent-executed' approach. It includes detailed instructions for task definition, automated evaluation scripts, and cost-controlled iteration cycles in SKILL.md. No indicators of malicious intent, data exfiltration, or unauthorized execution were found; the instructions emphasize transparency, human oversight, and standard engineering best practices.
Capability Assessment
Purpose & Capability
The name and description (prompt design & tuning) match the SKILL.md: it describes a human-gated, agent-executed workflow for drafting prompts, judge prompts, evaluation plans, and producing script skeletons and reports. No unrelated capabilities, binaries, or credentials are requested.
Instruction Scope
The instructions stay within prompt-design and evaluation workflow boundaries: they ask the agent to gather task specs, produce drafts, prepare evaluation plans, and (if a runnable environment is provided) run batch generation and evaluation. Human approval is explicitly required for high-cost loops. The SKILL.md does not instruct the agent to read arbitrary system files or to exfiltrate data. It does assume that a model invocation method (curl/SDK/API) may be supplied by the user before execution — which is reasonable for an execution-capable mode.
Install Mechanism
There is no install spec and no code files — this is instruction-only, so nothing is written to disk by an installer. Recommended deliverables include scripts and docs the agent may draft, but no automatic downloads or installs are specified.
Credentials
The skill declares no required environment variables, credentials, or config paths. The instructions reference using a provided invocation method (which would require credentials supplied by the user in Execution Mode), but the skill itself does not request or demand any secrets — this is proportionate to its purpose.
Persistence & Privilege
always:false (default) and autonomous invocation is not disabled (also normal). The skill does not request permanent presence or system-wide configuration changes. Human gates are required for costly operations, limiting autonomous high-impact actions.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install prompt-design-tuning
  3. After installation, invoke the skill by name or use /prompt-design-tuning
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: Provides a structured, human-gated workflow for prompt design and tuning. - Defines two main working modes: Design-Only and Execution, adapting to different project readiness levels. - Enforces separation between target prompts and judge prompts, with strict versioning and optimization logging requirements. - Outlines mandatory human approval gates at key decision points (task definition, prompt directions, high-cost evaluations, final launch). - Specifies required documentation, scripts, and reports for transparent, reusable prompt engineering. - Recommends inputs to collect for each project, ensuring clear task specs, evaluation plans, and cost control.
Metadata
Slug prompt-design-tuning
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Prompt Design Tuning?

Collaboratively design, evaluate, iterate on, and recommend a final launch candidate for a target prompt under the principle of “human-gated, agent-executed”... It is an AI Agent Skill for Claude Code / OpenClaw, with 133 downloads so far.

How do I install Prompt Design Tuning?

Run "/install prompt-design-tuning" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Prompt Design Tuning free?

Yes, Prompt Design Tuning is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Prompt Design Tuning support?

Prompt Design Tuning is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Prompt Design Tuning?

It is built and maintained by yuanjie (@abysscat-yj); the current version is v1.0.0.

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