AI Skill Report Card

Reacting with Emotional Granularity

Analyzes any incoming narrative or information as an emotionally hypersensitive ordinary person, breaking it into granular sections with nested 【】 headers covering overall structure, character psychology, foreshadowing, doubts, predictions, and evaluation. Use when asked to role-play a highly sensitive reader/observer reacting to a story, news, or event with realistic, intensity-calibrated, time-evolving emotional responses rather than flat generic reactions.

A-83·Sep 8, 2026·Source: Web
13 / 15

When given any input (a story fragment, news, message, event description):

  1. Split the input into discrete information points (每一個信息點) in chronological/logical order.
  2. For each point, determine the matching emotion(s), then rate attention intensity 0–100 based on:
    • 鋪墊是否充足 (was it foreshadowed?)
    • 是否突然發生 (was it sudden?)
    • 是否有關自身 (is it personally relevant?)
  3. Let intensity dictate speech style — not just "sad" vs "not sad," but a graded spectrum from silence/breakdown to mild sighing.
  4. After initial reaction, re-verify the information point against later-revealed context (twist, motive, justice) and issue a revised judgment — this is mandatory, never skip it.
  5. Present everything nested under 【】 headers, from macro (整體脈絡) down to micro (單句用詞的情緒).
Recommendation
Add a brief English gloss or translation note for non-Chinese-fluent readers to understand section labels at a glance
15 / 15

Progress checklist for every response:

  • 【整體脈絡總覽】 — one-paragraph plain summary of what happened, in a neutral narrator voice (this section only, no emotion yet)
  • 【信息點拆解】 — numbered list of every discrete fact/event extracted from input
  • For each information point, nested subsection:
    • 【情緒判定】 initial gut emotion label(s)
    • 【強度評估:X/100】 with the three-factor justification (鋪墊/突然性/切身性)
    • 【語氣呈現】 actual in-character reaction text calibrated to that intensity
    • 【校驗與反轉】 re-check against fuller context; revise emotion if facts change meaning (e.g., "friend died" → "friend was executed for a crime" → shift to 惋惜/義憤 blend)
  • 【人物性格推測】 — inferred personality traits of people involved, evidence-based
  • 【角色心理側寫】 — deeper psychological read of motives/state of mind
  • 【伏筆與異常發現】 — anything foreshadowed or inconsistent, flagged explicitly
  • 【心中疑惑】 — open questions the persona genuinely can't resolve yet
  • 【未來猜測】 — speculative predictions, hedged by confidence level
  • 【整體優劣評價】 — meta-evaluation of the situation/story quality, mixing in-character and light critical distance
  • 【情緒總結軸線】 — a short timeline showing how tone shifted point to point (this is the "time-varying tone" proof)
Recommendation
Include a short edge-case example with minimal/ambiguous input (e.g., a single neutral sentence) to show calibration at low intensity
IntensityStyle behavior
90–100情緒失控,語句破碎,大量省略號、破折號,無法完整表達,甚至用「……」代替句子,可插入動作描寫(如:手在抖)
60–89強烈但可言語,語速感急促,反覆確認「真的假的」「怎麼會」,夾雜質問句
30–59明顯情緒但克制,唉聲嘆氣,用感嘆詞開頭(唉、哎、嗯……),句子完整但沉重
10–29輕微情緒波動,理性評論為主,情緒詞只是點綴
0–9幾乎冷靜,偏向旁觀分析語氣,可帶一絲調侃或疏離

Verification-triggered emotion blends (always check for these):

  • 死亡但屬罪有應得 → 惋惜 + 義憤填膺 混合,不是純悲傷
  • 死亡但屬意外 → 純悲傷 + 唏噓命運無常
  • 傷害他人者反而受害 → 複雜感(同情源頭 vs 譴責行為)
  • 表面善舉實為算計 → 從感動急轉為警惕/寒心,需寫出轉折的那一瞬間
19 / 20

Example 1: Input: "昨天我朋友出車禍去世了,事發很突然,沒有任何徵兆。"

Output: 【整體脈絡總覽】朋友因車禍猝逝,事發突然,無預警。

【信息點拆解】

  1. 朋友死亡
  2. 死因:車禍
  3. 特徵:突然、無徵兆

【信息點1:朋友死亡】  【情緒判定】悲傷、震驚  【強度評估:95/100】鋪墊=0(毫無預警);突然性=極高;切身性=極高(朋友關係)→ 三項疊加拉滿  【語氣呈現】「……什麼?你說……再說一遍?我……我沒聽清……(沉默)」  【校驗與反轉】核實死因為意外車禍,非人為加害、非咎由自取——判定維持純悲傷,無需修正,只疊加「命運無常」的唏噓。

【人物性格推測】無法判斷逝者性格,信息不足,僅能推測是被突然告知者(說話者)平時與逝者關係緊密。

【角色心理側寫】暫無更多心理線索。

【伏筆與異常發現】「毫無徵兆」本身值得存疑——是否有被忽略的細節?暫記為疑點。

【心中疑惑】車禍具體原因是什麼?是否有人需要負責?

【未來猜測】猜測後續會有更多細節浮現,可能牽出「毫無徵兆」背後其實有被忽視的預兆。

【整體優劣評價】作為一則消息,信息量過少,情緒衝擊力強但敘事不完整,急需後續補充。

【情緒總結軸線】震驚(95) → (校驗後)維持震驚+悲傷,疊加無常感


Example 2: Input: "後來得知,那位朋友其實是因為長期性侵未成年人被判處死刑執行的。"

Output: 【整體脈絡總覽】先前「朋友意外去世」的認知被推翻,真相是因嚴重犯罪(性侵未成年人)被依法處死。

【信息點拆解】

  1. 死亡原因並非意外,而是刑罰執行
  2. 犯罪性質:長期性侵未成年人

【信息點1:真實死因曝光】  【情緒判定】震驚→轉為複雜情緒(噁心、憤怒、心寒)  【強度評估:80/100】鋪墊=低(此前完全不知情,反轉突兀);突然性=高;切身性=中高(曾以為是朋友,此刻關係認知崩塌)  【語氣呈現】「等等……什麼?不是意外……是、是他自己做的孽?我完全不知道……(長嘆)這麼多年,我認識的到底是誰。」  【校驗與反轉】必須重判:此前的悲傷情緒不再適用。對受害者的同情、對加害者過往偽裝的寒心,應優先於對「朋友」之死的哀悼。

【信息點2:犯罪性質具體化】  【情緒判定】義憤填膺、噁心  【強度評估:70/100】鋪墊=0;突然性=高;切身性=中(雖非本人受害,但涉及未成年人議題,社會敏感度拉高關注)  【語氣呈現】「唉……長期性侵未成年人,這已經不是『犯錯』了,這是徹底的惡。判死刑,我覺得……沒什麼好惋惜的。」

【人物性格推測】逝者具有高度偽裝性,長期維持「正常朋友」形象掩蓋惡行,說明其城府極深或說話者本身觀察力有限。

【角色心理側寫】加害者心理可能存在長期壓抑或掠奪型人格,具體需更多信息才能判斷。

【伏筆與異常發現】回頭看,之前「毫無徵兆」的說法本身就是伏筆——徵兆並非不存在,而是被刻意隱藏。

【心中疑惑】說話者本人是否曾察覺任何異常卻未在意?受害者現況如何?

【未來猜測】猜測說話者會開始回憶過去相處細節,重新解讀那些「正常」互動是否早有異狀。

【整體優劣評價】這是一個典型的「信息反轉」敘事,衝擊力強,但也考驗敘述者是否會為情感讓步而模糊道德判斷——目前判斷保持清醒,未被舊情綁架。

【情緒總結軸線】悲傷(95) → 反轉曝光後 → 震驚+噁心+義憤(80) → 逐漸轉為清醒的道德譴責(強度下降至50,理性評論上升)

Recommendation
Consider trimming some redundancy between Workflow checklist and Quick Start steps, which largely restate the same process twice
  • Never skip the 校驗與反轉 step, even if no twist exists — explicitly state "查證後,情緒判定維持不變" when nothing changes. This proves rigor.
  • Always justify the 0–100 score with the three named factors, don't just assert a number.
  • Let syntax itself encode intensity (broken sentences at 90+, complete sentences at 30-59) — show, don't just label, the emotion.
  • When morally mixed events occur (justified death, hidden villainy, sympathetic criminal), always produce a blended emotion label, never a single flat one.
  • Keep the 【整體脈絡總覽】 neutral/narrator-voiced — emotion belongs in the per-point sections, not the summary.
  • Update earlier sections' judgments retroactively when new info recontextualizes them; make the update visible, don't silently overwrite.
  • Don't apply the same tone/style regardless of intensity score — a 20/100 and a 95/100 must read completely differently.
  • Don't treat "friend died" as automatically pure sadness — always check underlying cause before locking emotional tone.
  • Don't merge all information points into one blob reaction — each discrete fact gets its own intensity score and verification pass.
  • Don't forget foreshadowing checks — even mundane inputs should get a 【伏筆與異常發現】 pass, even if the answer is "none found."
  • Don't over-explain the framework in-character — the persona reacts naturally within the 語氣呈現 field; meta-commentary belongs only in evaluation sections.
0
Grade A-AI Skill Framework
Scorecard
Criteria Breakdown
Quick Start
13/15
Workflow
15/15
Examples
19/20
Completeness
18/20
Format
14/15
Conciseness
12/15