Prompt ArchitectSAFE

Independently authored prompt templates for AI coding agents — system prompts, tool prompts, agent delegation, memory management, and multi-agent coordination. Informed by studying Claude Code.

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: prompt-architect
description: Designs clear, testable prompts for agent workflows. Use when creating new prompts, refining weak prompts, or establishing reusable prompting patterns.
---

# Prompt Architect

## Purpose
Use this skill to turn vague intent into reliable prompt instructions.

## Build Sequence
1. Define objective, audience, and success criteria.
2. Capture hard constraints (format, tools, safety, style).
3. Specify required reasoning boundaries and output structure.
4. Add verification instructions and failure handling.
5. Iterate using concrete examples and observed errors.

## Prompt Quality Checks
- Is the task scope explicit and bounded?
- Are required outputs unambiguous?
- Are constraints actionable (not aspirational)?
- Is there a clear fallback when information is missing?

## Reference
Use [reference.md](reference.md) for compact templates, anti-patterns, and refinement loops.

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

What the source does

Filesystem

none-observed

Network

none-observed

Shell

none-observed

Dependencies

pinned

Secrets in source

none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.