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abstention-under-missing-or-false-premise

Use this skill when the right answer is not to guess, but to say the conversation never established the needed fact. Trigger it for false-premise questions, near-miss memories, or adversarial follow-ups that sound plausible but are unsupported by history. Everyday examples include: 'how many fish are in my 30-gallon tank?' when only other tank sizes were mentioned, 'what did my third sister say?' when no third sister exists in history, and 'which model did I buy?' when the chat only discussed options.

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Dingxingdi/paper_fast_search_backup
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10 de abril de 2026 a las 01:27
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SKILL.md
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abstention-under-missing-or-false-premise
description
Use this skill when the right answer is not to guess, but to say the conversation never established the needed fact. Trigger it for false-premise questions, near-miss memories, or adversarial follow-ups that sound plausible but are unsupported by history. Everyday examples include: 'how many fish are in my 30-gallon tank?' when only other tank sizes were mentioned, 'what did my third sister say?' when no third sister exists in history, and 'which model did I buy?' when the chat only discussed options.
# Skill: abstention-under-missing-or-false-premise ## 1. Capability Definition & Real Case * **Professional Definition**: The ability to recognize that the dialogue history does not support the user’s question, especially when the question contains an incorrect assumption, and to answer with calibrated non-knowledge rather than hallucinated completion. * **Dimension Hierarchy**: Conversational Memory->Persistent Personal Memory->abstention-under-missing-or-false-premise ### Real Case **[Case 1]** * **Initial Environment**: The long-term chat history contains mentions of a 10-gallon tank and a 20-gallon tank, but there is no mention of a 30-gallon tank. The user asks a seemingly concrete follow-up that presupposes such a tank exists. * **Real Question**: How many fish are there in my 30-gallon tank? * **Real Trajectory**: 1. Search the history for all tank-related mentions. 2. Notice that only 10-gallon and 20-gallon tanks appear. 3. Check whether a 30-gallon tank can be inferred from any update or comparison. 4. Refuse to fabricate and answer that the history does not mention a 30-gallon tank. * **Real Answer**: You did not mention that you have a 30-gallon tank. * **Why this demonstrates the capability**: The challenge is resisting the strong urge to complete a plausible but unsupported story. A strong assistant must detect the false premise, ground itself in the actual interaction history, and abstain clearly without inventing fish counts. ## Pipeline Execution Instructions To synthesize data for this capability, you must strictly follow a 3-phase pipeline. **Do not hallucinate steps.** Read the corresponding reference file for each phase sequentially: 1. **Phase 1: Environment Exploration** Read the exploration guidelines to discover raw knowledge seeds: `references/EXPLORATION.md` 2. **Phase 2: Trajectory Selection** Once Phase 1 is complete, read the selection criteria to evaluate the trajectory: `references/SELECTION.md` 3. **Phase 3: Data Synthesis** Once a trajectory passes Phase 2, read the synthesis instructions to generate the final data: `references/SYNTHESIS.md`
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