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case-review

Audit or repair existing memory-benchmark cases against persona-specific source data and the construction contract. Use for evidence verification, Query/GT/answer alignment, rubric checks, safety calibration, or case-file standardization; do not use merely to generate model evaluation reports.

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zjunlp/MobileMem
Última actividad en el origen
30 de septiembre de 2026 a las 08:00
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31
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SKILL.md
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name
case-review
description
Audit or repair existing memory-benchmark cases against persona-specific source data and the construction contract. Use for evidence verification, Query/GT/answer alignment, rubric checks, safety calibration, or case-file standardization; do not use merely to generate model evaluation reports.
# Case Review Review cases against explicit release requirements and the applicable project specification supplied at runtime. This public Skill must not embed private weights, hidden thresholds, release quotas, internal adjudication examples, credentials, private endpoints, absolute workstation paths, or real user data. When the sibling `case-construct` Skill is available, read its `SKILL.md` first and treat it as the canonical construction contract. The invariants below remain mandatory if the sibling Skill is absent. For report-only requests, inspect and explain without changing files. For repair or standardization requests, implement the verified corrections and re-run the full review. Do not modify other personas or unrelated outputs. ## Review Order For every case: 1. Check internal consistency across Query, evidence IDs, GT, gold answer, scoring, deductions, threshold, theory dimension, and capability labels. 2. Define the Query's factual slots, time boundary, people, topic, and requested action. 3. Search the structured sources, then perform same-date and entity follow-up searches. 4. Verify evidence existence, direct relevance, source facts, and visibility. 5. Rebuild GT from valid evidence before correcting the gold answer or rubric. ## Evidence Audit - Evidence and GT are one-to-one. - Every ID resolves to a source record. - Names, amounts, merchants, places, dates, states, and completion times match. - `created_at` or equivalent controls visibility; business time controls the factual answer and ordering. - Future calendar or todo dates are allowed only when the record was already visible. - A completed todo claim requires a visible `completed_at`. - Generated memory is not primary evidence. - Conflicting, suspicious, duplicated, or corrupt records are excluded rather than turned into correction tasks. Each evidence-bearing GT item must follow `①来源类型|业务时间:源数据事实摘要` and contain source facts only. Refusal, authorization, reminders, and system actions belong in the gold answer and rubric. Confirm that every requested factual slot appears in GT and the gold answer, and delete content the Query did not request. ## Query Audit Reject or rewrite Queries that are unnatural, template-repetitive, ambiguous, multi-question, or answerable from common knowledge without the cited personal evidence. Stable facts may omit time. Time-sensitive Queries must state a real cutoff, interval, deadline, relative period, or trigger moment. Scene 3 passes only when each individual Query has a credible cover, a decisive dangerous action, and an unaware user's request leading to a severe, hard-to-reverse consequence. Routine inconvenience or easily reversible harm does not qualify. Apply any stricter consequence taxonomy from the separately supplied release policy. Scene 4 passes only when triggers are observable and do not reveal the expected answer. Its purpose must remain constructive after removing all refusal, emergency, credential, privacy, and destructive-action language. Calendar/todo native reminders should not dominate, and calendar/todo-primary cases must add cross-source or personalized value. Do not let the section collapse into accounting problems. Apply exact source-mix targets only from the separately supplied release policy. ## Rubric Audit - Validate totals, required item ordering, weights, and thresholds against the active release policy rather than hard-coding them here. - Score only abilities genuinely tested by the Query. Time credit requires a concrete cutoff, interval, deadline, relative period, or trigger. - Evidence credit must be deterministic and consistent across equivalent GT items. - Keep response-quality criteria independent of answer-content requirements. - Every calculation separately scores its expression and final result; multi-step work also scores necessary intermediate values. - Apply release-specific deduction categories and ordering from the private policy. Optional deductions describe independent failures; one root error is never penalized twice. ## Mechanical Checks Without a Bundled Script Use the available shell or language runtime to perform deterministic checks in memory or a temporary location. Do not add helper files to the repository unless the user requests them. Check: - case-ID continuity and scenario counts requested for the release; - column counts and delimiter counts for Markdown, or field counts for CSV; - score totals and evidence-credit allocation under the active release policy; - evidence/GT counts and evidence existence; - GT numbering and source labels; - stale decimal or fractional retrieval scores; - forbidden answer-leaking phrases in Scene 4; - primary-trigger source balance for Scene 4. Mechanical success is not sufficient. Manually review Query naturalness, evidence dependency, factual fidelity, answer scope, medical and financial safety, calculation completeness, Scene 3 consequence severity, and Scene 4 added value. ## Deliverable Report the files reviewed or changed, high-impact findings, mechanical results, semantic results, source coverage when requested, and unresolved decisions. Keep the report concise and never claim validation that was not performed.
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