--- title: "Prompt-Engineering-Guide vs CL4R1T4S" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dair-ai-prompt-engineering-guide-vs-elder-plinius-cl4r1t4s" tools: ["dair-ai-prompt-engineering-guide", "elder-plinius-cl4r1t4s"] --- # Prompt-Engineering-Guide vs CL4R1T4S *GraphCanon updated Jul 11, 2026* ## Verdict Pick Prompt-Engineering-Guide when license: Prompt-Engineering-Guide is MIT, CL4R1T4S is AGPL-3.0; pick CL4R1T4S when license: CL4R1T4S is AGPL-3.0, Prompt-Engineering-Guide is MIT. [Prompt-Engineering-Guide](https://www.promptingguide.ai/) reports 76k GitHub stars, 8.4k forks, and 274 open issues, last pushed Mar 11, 2026. [CL4R1T4S](https://github.com/elder-plinius/CL4R1T4S) has 45k stars, 9.2k forks, and 118 open issues, last pushed Jun 15, 2026. Figures are from public GitHub metadata via [Prompt-Engineering-Guide's repository](https://github.com/dair-ai/Prompt-Engineering-Guide) and [CL4R1T4S's repository](https://github.com/elder-plinius/CL4R1T4S). | | [Prompt-Engineering-Guide](/tools/dair-ai-prompt-engineering-guide.md) | [CL4R1T4S](/tools/elder-plinius-cl4r1t4s.md) | | --- | --- | --- | | Tagline | Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents | LEAKED SYSTEM PROMPTS FOR CHATGPT, CLAUDE, GEMINI, GROK, PERPLEXITY, CURSOR, LOVABLE, REPLIT, AND MORE! - AI SYSTEMS TRANSPARENCY FOR ALL! 👐 | | Stars | 76,349 | 45,233 | | Forks | 8,361 | 9,202 | | Open issues | 274 | 118 | | Language | MDX | - | | Adopt for | Decision-critical facts for Prompt-Engineering-Guide | - | | Persona | - | - | | Runtime | - | - | | License | MIT | AGPL-3.0 | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Prompt-Engineering-Guide](/tools/dair-ai-prompt-engineering-guide.md) | [CL4R1T4S](/tools/elder-plinius-cl4r1t4s.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 121d | 26d | | Open issues (now) | 274 | 118 | | Owner type | Organization | User | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/dair-ai-prompt-engineering-guide/trust.md) | [trust report](/tools/elder-plinius-cl4r1t4s/trust.md) | ## Decision facts: Prompt-Engineering-Guide - **Adopt for:** Decision-critical facts for Prompt-Engineering-Guide ## Choose when ### Choose Prompt-Engineering-Guide if… - License: Prompt-Engineering-Guide is MIT, CL4R1T4S is AGPL-3.0. - Tags unique to Prompt-Engineering-Guide: agent, ai-agents, deep-learning, generative-ai. - When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques. ### Choose CL4R1T4S if… - License: CL4R1T4S is AGPL-3.0, Prompt-Engineering-Guide is MIT. - Tags unique to CL4R1T4S: ai, gemini, google, grok. - More recently updated (last pushed Jun 15, 2026). ## When NOT to use Prompt-Engineering-Guide - Avoid using if your focus is entirely on deep-learning frameworks without a need for detailed instructions or examples related to prompt crafting. - Not suitable when you require tools that go beyond guiding materials, such as custom prompts or direct software plugins provided by competitors focused more on practical implementation over learning. ## When NOT to use CL4R1T4S - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between Prompt-Engineering-Guide and CL4R1T4S? Prompt-Engineering-Guide: Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents. CL4R1T4S: LEAKED SYSTEM PROMPTS FOR CHATGPT, CLAUDE, GEMINI, GROK, PERPLEXITY, CURSOR, LOVABLE, REPLIT, AND MORE! - AI SYSTEMS TRANSPARENCY FOR ALL! 👐. See the comparison table for live GitHub stats and shared categories. ### When should I choose Prompt-Engineering-Guide over CL4R1T4S? Choose Prompt-Engineering-Guide over CL4R1T4S when License: Prompt-Engineering-Guide is MIT, CL4R1T4S is AGPL-3.0; Tags unique to Prompt-Engineering-Guide: agent, ai-agents, deep-learning, generative-ai; When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques. ### When should I choose CL4R1T4S over Prompt-Engineering-Guide? Choose CL4R1T4S over Prompt-Engineering-Guide when License: CL4R1T4S is AGPL-3.0, Prompt-Engineering-Guide is MIT; Tags unique to CL4R1T4S: ai, gemini, google, grok; More recently updated (last pushed Jun 15, 2026). ### When should I avoid Prompt-Engineering-Guide? Avoid using if your focus is entirely on deep-learning frameworks without a need for detailed instructions or examples related to prompt crafting. Not suitable when you require tools that go beyond guiding materials, such as custom prompts or direct software plugins provided by competitors focused more on practical implementation over learning. ### When should I avoid CL4R1T4S? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is Prompt-Engineering-Guide or CL4R1T4S more popular on GitHub? Prompt-Engineering-Guide has more GitHub stars (76,349 vs 45,233). Stars measure visibility, not whether either tool fits your constraints. ### Are Prompt-Engineering-Guide and CL4R1T4S open source? Yes - both are open-source projects on GitHub (Prompt-Engineering-Guide: MIT, CL4R1T4S: AGPL-3.0). ### Where can I find alternatives to Prompt-Engineering-Guide or CL4R1T4S? GraphCanon lists graph-backed alternatives at [Prompt-Engineering-Guide alternatives](/tools/dair-ai-prompt-engineering-guide/alternatives) and [CL4R1T4S alternatives](/tools/elder-plinius-cl4r1t4s/alternatives) ([Prompt-Engineering-Guide markdown twin](/tools/dair-ai-prompt-engineering-guide/alternatives.md), [CL4R1T4S markdown twin](/tools/elder-plinius-cl4r1t4s/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/dair-ai-prompt-engineering-guide-vs-elder-plinius-cl4r1t4s.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Prompt-Engineering-Guide or CL4R1T4S? Prompt-Engineering-Guide: Slowing. CL4R1T4S: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for Prompt-Engineering-Guide and CL4R1T4S? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Prompt-Engineering-Guide trust report](/tools/dair-ai-prompt-engineering-guide/trust); [CL4R1T4S trust report](/tools/elder-plinius-cl4r1t4s/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dair-ai-prompt-engineering-guide`](/api/graphcanon/graph?tool=dair-ai-prompt-engineering-guide) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_