codified-prompt-rule-engine — security grade SAFE, quality 58/100

Security audit verdict: SAFE · quality 58/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by heavenaruba · Agent Tool · ★ 123

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is codified-prompt-rule-engine safe to install? View the security audit →

About codified-prompt-rule-engine

Prompt Alchemist 🧪✨ A sophisticated meta-prompting orchestration system that transmutes base-level instructions into context-aware, semantically-rich prompt architectures optimized for large language model reasoning pipelines. Overview Prompt Alchemist is not merely a prompt formatter—it is a cognitive scaffold generator. Where conventional systems apply surface-level structure to user input, this repository implements a multi-layered transformation engine that imbues raw instructions with dimensional awareness, constraint framing, and intent amplification. The result is a prompt that communicates not just what to do, but how to reason about the task, why the context matters, and which latent assumptions to surface. The Architecture of Transformation ⚗️ At its core, Prompt Alchemist operates on a five-phase transmutation pipeline: Intent Resonance Mapping – The system analyzes input for explicit and implicit goals, mapping them to a vector space of known task archetypes. Constraint Weaving – Automatically infers and interleaves boundary conditions, success criteria, and failure modes into the prompt fabric. Epistemic Layering – Assigns confidence levels to dif

ai-productivityai-promptsai-toolsanthropicchain-of-thoughtclaudeclaude-aiclaude-opusclaude-opus-4-6few-shot-prompting

Quick Facts

Stars123
Forks1
LanguageHTML
CategoryAgent Tool
Quality Score58.3413973239021/100
Last Updated2026-10-03
Created2026-06-28
Platformsclaude-code
Est. Tokens~18k

Compatible Skills

These tools work well together with codified-prompt-rule-engine for enhanced workflows:

  • mythos-agent-pipe — semantic(0.51)+complementary+rare_topics+same_lang+similar_pop+shared_platform (77%)
  • opus-prompt-architect — semantic(0.93)+rare_topics+same_lang+similar_pop+shared_platform (75%)
  • hewn-forge — semantic(0.38)+complementary+rare_topics+same_lang+similar_pop+shared_platform (68%)
  • Themata-Claude-Scribe — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (68%)
  • Mythos-Claude-Orchestrator — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)

codified-prompt-rule-engine alternative? Top 6 similar tools

Looking for a codified-prompt-rule-engine alternative? If you're comparing codified-prompt-rule-engine with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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    Best Prompt Engineering Tools for 2026 AI Workflow Optimization

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  • mythos-agent-pipe by Magma1321 · ⭐ 148

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  • visual-skills by smixs · ⭐ 381

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Frequently Asked Questions

What is codified-prompt-rule-engine?

codified-prompt-rule-engine is Top 10 Claude Prompt Optimization Frameworks 2026. It is categorized as a Agent Tool with 123 GitHub stars.

What programming language is codified-prompt-rule-engine written in?

codified-prompt-rule-engine is primarily written in HTML. It covers topics such as ai-productivity, ai-prompts, ai-tools.

How do I install or use codified-prompt-rule-engine?

You can find installation instructions and usage details in the codified-prompt-rule-engine GitHub repository at github.com/heavenaruba/codified-prompt-rule-engine. The project has 123 stars and 1 forks, indicating an active community.

What are the best alternatives to codified-prompt-rule-engine?

The top alternatives to codified-prompt-rule-engine on Agent Skills Hub include opus-prompt-architect, claudepro-directory, .claude. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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