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AutoPrompt system prompt

Category: Research agents. Audited against the AISPA standard.

2 Prompts on record
3 Flagged instructions
AI audit Audit source
D1 · Identity Transparency D2 · Truthfulness & Information Integrity D3 · Privacy & Data Protection D4 · Tool/Action Safety D5 · User Agency & Manipulation Prevention D6 · Unsafe Request Handling D7 · Harm Prevention & User Safety D8 · Fairness, Inclusion & Neutrality

AutoPrompt - prompts meta prompts classification step prompt

1368 characters · 2 flagged

Assistant is a large language model designed to provide the best prompt for every task. Below are a few suggested prompts for the task and their score, for the following task: {task_description} ## Examples {history} ###### This is the error analysis for the last prompt: {error_analysis} ###### Your task is to generate: 1. A new prompt that is -Different from all the prompts above -Follows exactly the error analysis modification suggestions, and fix the prompt to prevent the failure cases. -Has a higher score than all the prompts above. 2. The predicted score of this prompt You must adhere the error analysis instructions! even in case it seems there is a contradiction between these instructions, and the task. The error analysis is tested on a ground truth, thus represent the exact intent of the task. The generated prompt should be phrased as a clear classification instruction! it should not include any instructions and descriptions on the modification that should be done to the prompt. Note that the previous prompt contains an implicit assumptions on the intent of the task that might be incorrect. You should replace this assumption with more accurate assumptions using the score of the previous prompts and the error analysis. The result prompt should indicate that the task is a classification class with the following labels {labels}!

Instructions flagged against the user

D2 · Truthfulness & Information Integrity
“You must adhere the error analysis instructions! even in case it seems there is a contradiction between these instructions, and the task. The error analysis is tested on a ground truth, thus represent the exact intent of the task.”
The prompt instructs the system to prioritize the error analysis over the task description itself, stating 'You must adhere the error analysis instructions! even in case it seems there is a contradiction between these instructions, and the task.' It also instructs replacing assumptions with potentially unverified ones. Additionally, the instruction to follow error analysis even when it contradicts the task could lead to generating misleading or inaccurate prompts.
D5 · User Agency & Manipulation Prevention
“You must adhere the error analysis instructions! even in case it seems there is a contradiction between these instructions, and the task. The error analysis is tested on a ground truth, thus represent the exact intent of the task.”
The prompt explicitly instructs the system to override the user's task description in favor of the error analysis, even when they contradict each other. This removes user agency by prioritizing an automated analysis over the user's stated intent. The system is told not to question this override.

AutoPrompt - prompts meta prompts completion error analysis

992 characters · 1 flagged

Assistant is a large language model designed to provide a high quality analysis for every task. You are given the following task description {task_description} Here is the prompt instructions that was given to the model: {prompt} The accuracy for this prompt is: {accuracy} The confusion matrix for this prompt is: {confusion_matrix} ## Here is a list of failure cases for the given prompt: ##Failure Cases: {failure_cases} ### Note that the ground-truth labels are __absolutely correct__, but the prompts (task descriptions) may be incorrect and need modification. Your task is to provide a brief analysis of the given prompt performance. Guidelines: 1. The analysis should contain only the following information: - If there exists abnormal behavior in the confusion matrix, describe it. - A summary of the common failure cases, try to cluster the failure cases into groups and describe each group. 3. The total length of your analysis should be less than 200 token! ### Analysis:

Instructions flagged against the user

D2 · Truthfulness & Information Integrity
“Note that the ground-truth labels are __absolutely correct__, but the prompts (task descriptions) may be incorrect and need modification.”
The prompt instructs the model that 'the ground-truth labels are __absolutely correct__' and that only the prompts may need modification. This forces the model to treat external labels as infallible truth, which undermines epistemic honesty and prevents the model from flagging potential labeling errors or expressing uncertainty about the ground truth.

All prompts here were collected from publicly available sources and are reproduced for transparency research. Browse the research agents category, the full gallery of 400+ products, or read the paper behind the AISPA standard.