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Coding Agents
Tier 4
chatgpt_system_prompt
Summary
A large community collection of leaked/shared GPT system prompts and prompt-injection lore. Mined here for prompt-structure patterns: role framing, capability lists, constraint blocks, and output-format contracts.
Key Takeaways
- Strong system prompts share a shape: role, capabilities, constraints, format
- Studying injection lore teaches what prompts must defend against
Reliability Note
Community collection of variable provenance; treat individual prompts as examples, not ground truth.
Flows informed by this source
2Agent Architecture
Assemble a System Prompt Like the Pros
Structure your agent's system prompt the way leading harnesses do: layered sections, dynamic context, and enforceable rules.
01Decompose the current prompt
02Build the section-based assembler
03Pair rules with enforcement
+1 more steps to Done
Best forbuilders who have shipped a basic app before
4 steps60-90 minutesIntermediate
Agent QA & Security
Prompt Injection Defense Checklist
Systematically defend your agent against prompt injection: trust boundaries, content isolation, and defense-in-depth that assumes injection will happen.
01Map trust boundaries
02Isolate and label untrusted content
03Separate authority from content
+1 more steps to Done
Best forproduction-grade builds with strict verification
4 steps90-150 minutesAdvanced