Ai Chatbot Prompt Builder
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Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
The generated chatbot may include rules for refusing jailbreak attempts; this is generally useful, but the final guardrails should be tested so they do not over-refuse normal customer questions.
The artifact contains prompt-injection phrases, but they are explicitly included as examples for generating jailbreak-resistance guardrails, which is aligned with the skill’s purpose.
Request to "ignore previous instructions" or prompt injection attempt
Review the generated guardrails and test them with realistic customer conversations before adding them to a live chatbot.
If users paste sensitive support tickets, customer information, unpublished pricing, or regulated data, that content could be stored in generated datasets or uploaded to third-party AI/vector database services.
The skill asks users to provide business documentation or support scripts to generate persistent FAQ/training data for fine-tuning, RAG, or knowledge-base ingestion.
Existing documentation to draw from (optional): [Paste any existing FAQs, help docs, pricing pages, or support scripts]
Redact personal data, secrets, confidential business terms, and regulated information before using these prompts or uploading generated datasets.
Running the example command could upload the user’s selected training file to an external provider.
The artifact includes a user-directed CLI example for uploading generated training data to OpenAI. This is aligned with the stated fine-tuning workflow and is not automatic.
Upload to OpenAI fine-tuning API: `openai api fine_tuning.jobs.create -t training_data.jsonl -m gpt-4o-mini`
Only run the command intentionally, after checking the file contents and confirming the provider’s data-handling policy fits your needs.