This SKILL.md is a dialogue script. Each stage provides you with clear lines, input parsing, commands to run, and failure branches. Strictly follow the stage order, do not skip steps.

🎭 Social-SBTI Personality Profile (For entertainment only · Only analyze yourself or fully public figures)

Please select the platform to analyze:
  1. Jike
  2. X (Twitter)

1

2

Jike

X

Twitter

• 1

  /

  Jike

  /

  jike

  →

  PLATFORM=jike

• 2

  /

  x

  /

  X

  /

  twitter

  →

  PLATFORM=x

@sama

AI产品黄叔

Got it, analyzing Jike user. Please paste the user's Jike homepage URL or username.

Examples:
  https://web.okjike.com/u/E272054E-D904-4F13-A7EC-9ABD2CBF209E
  Or directly username

Got it, analyzing X user. Please paste the user's X handle / homepage URL / user id.

Examples:
  @sama
  https://x.com/elonmusk
  44196397   (user id, most stable, not affected by name changes)

TARGET=<user input>

Confirm, is this your own account, or a fully public figure? This tool does not analyze ex-partners, colleagues, interviewers, investors, or blind date partners.

"$SBTI_HOME/bin/sbti" doctor --fix --platform "$PLATFORM"

• All green (exit code 0): Skip to Phase 5 (Scraping)
• Missing dependencies:

  --fix

  will automatically run pip install, run doctor again after installation to confirm
• Missing credentials: Skip to Phase 4
• Python version too low / other hard errors: Tell the user the specific reason and stop

jike-auth

First scan to get token, QR code will be displayed shortly.

mkdir -p ~/.config/sbti && rm -f ~/.config/sbti/jike-tokens.json && \
"$SBTI_HOME/bin/sbti" jike-auth > ~/.config/sbti/jike-tokens.json

sbti jike-auth

jike-auth

pip install --user

~/Library/Python/3.x/bin

sbti jike-auth

run_in_background: true

Read

[+] Session: 642d995d-31a6-...
 ▄▄▄▄▄▄▄  ▄▄▄▄    ▄▄▄▄ ▄▄ ▄   ▄▄  ▄▄▄  ▄▄▄▄▄   ▄▄▄▄▄▄▄
 █ ▄▄▄ █  █  ██▀ ▀█▄▄█▀▀▀▀▄█ █▄███ ▄▄█▀▄█▀▄▀█  █ ▄▄▄ █
 ...about 25 lines of QR...
 ▄█▀█▀▄▄ ▄▄  █▄█ ▀▀▄▄▀▀▄█ ▀  ▀▀▄▄▀▀▀▀██▀█▄▀▀▀▀█   █▄▀
[*] Waiting for scan...

Waiting for scan...

[+] Session:

Waiting for scan

<Paste original stderr content here>

👆 Please scan the above QR code with the Jike App. I will automatically continue after scanning, no need to switch back to tell me.

• Call

  TaskOutput

  tool with

  block: true, timeout: 120000

  (give user 2 minutes to scan)
• Or

  Read

  ~/.config/sbti/jike-tokens.json

  every 3 seconds, once the file exists and is not empty, it means scanning is complete

"$SBTI_HOME/bin/sbti" config jike --from-inbox

✓ Jike tokens imported from inbox

config jike --from-inbox

rm

TaskStop

First time using X, need to get two fields from browser cookies:

1. Log in to https://x.com in your browser
2. Press F12 to open DevTools → Application → Cookies → https://x.com
3. Find these two cookies and copy their Values:
   - auth_token   (long string)
   - ct0           (long string, CSRF token)

Paste them directly, format doesn't matter, e.g.:
   auth_token = xxxxxx
   ct0 = yyyyyy

auth_token

ct0

"$SBTI_HOME/bin/sbti" config x \
    --auth-token "<auth_token value>" \
    --ct0 "<ct0 value>"

~/.config/sbti/x_cookies.json

X has strict risk control. The script has built-in self-rate-limiting, but it is recommended: ≤ 500 posts per run, no more than 10 different users per day, do not commit cookies to git. If rate-limited, stop and try again the next day.

1. Read raw.json: Use

   Read

   tool to read

   $RAW_FILE

   , access the

   posts[]

   array.
2. Sample 150 posts:
   • Total ≤ 150: Read all
   • Total > 150: 60% recent (first 90 posts) + 40% older (last 60 posts)
3. Read rubric: Use

   Read

   tool to read

   $SBTI_HOME/docs/SCORING_RUBRIC.md

   . Score against the L/M/H anchors for each dimension.
4. Score 15 dimensions one by one (fixed order):

   S1 S2 S3 E1 E2 E3 A1 A2 A3 Ac1 Ac2 Ac3 So1 So2 So3

5. Strictly adhere to hard constraints (from rubric):
   • At least 1 real

     post_id

     must be cited for each dimension (must come from raw.json, do not make up)
   • If there is contradictory evidence → lower one level
   • Confidence < 0.4 or no evidence → force fallback to M
6. Additional outputs:

   • overall_impression

     : 100-200 word overall impression

   • personality_description

     : 200-300 word "customized" description — must include specific facts about the target (occupation, projects, catchphrases, representative views), do not use generic copy

   • quotes

     : 4-6 real original quotes (copied from

     content

     in raw.json)
7. Write scores.json:
   json

   {
     "profile": { "screen_name": "...", "platform": "jike|x",
                  "bio": "...", "post_count": 200 },
     "personality_description": "...",
     "overall_impression": "...",
     "quotes": ["...", "...", "...", "..."],
     "scores": [
       {
         "dimension": "S1",
         "level": "H",
         "confidence": 0.9,
         "evidence": ["<real post_id>", "<real post_id>"],
         "reasoning": "No more than 40 words"
       }
       // ... total 15 entries
     ]
   }

   Path:

   ./sbti-output/<name>_scores.json

   (same directory as raw.json, same

   <name>

   ).
8. Optional field: If posts clearly mention "drinking/white liquor/toasting" frequently, add

   "drunk": true

   , which will trigger the DRUNK easter egg.

• All 15 scores are present and in correct order
• Each entry has ≥ 1 evidence post_id that actually exists in raw.json
• Entries with confidence < 0.4 have fallen back to M
• Quotes are real original text, not made up
• personality_description includes specific facts

SCORES_FILE=./sbti-output/<name>_scores.json

"$SBTI_HOME/bin/sbti" finalize "$SCORES_FILE"

1. match.py

   → Match 27 personality templates, write back to scores.json with

   pattern

   +

   personality

2. make_card.py

   → Generate HTML card

3. render_png.py

   → Use playwright to capture as PNG (skip if not installed, will give prompt)

1. Main result (ASCII box):

   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
     🎭 <screen_name>
     【<CODE>】· <Chinese Name>  <mascot>
     「<Slogan>」
     Matching degree: <XX>%
     Pattern string: <pattern>
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

2. 15-dimensional profile (ASCII table, one dimension per line):

   Self Model
     S1 Self-esteem & Confidence  H  — <reasoning>
     S2 Self-clarity  H  — <reasoning>
     S3 Core Values  H  — <reasoning>
   Emotional Model
     E1 Attachment Security  H  — <reasoning>
     ...

3. Overall impression: Repeat the entire

   overall_impression

   paragraph
4. File paths:

   📁 Outputs:
      sbti-output/<name>_scores.json  (Complete data)
      sbti-output/<name>-sbti.html    (Shareable card)
      sbti-output/<name>-sbti.png     (Screenshot, if playwright is ready)

5. Open commands:

   open sbti-output/<name>-sbti.png
   open sbti-output/<name>-sbti.html

• "High execution ≠ confidence": High Ac3 does not mean high S1, some people are pushed by deadlines
• "Sharp tongue ≠ cynicism": Chinese sarcastic expressions, do not take jokes as negative sentiment
• "Active in communities ≠ high So1": Need to see if they initiate actively or respond passively
• "Many reposts ≠ emotional investment": Reposts may just be information flow
• "Self-deprecation ≠ low S1": "I'm really good + self-deprecation" is actually H
• M is the safe zone: If unsure, score M, do not force it
• Evidence must be real post_id: Do not write ids that do not exist in raw.json

1. Retry — If it's a temporary error (network, short-term rate limit)
2. Fix root cause — Expired credentials, wrong URL, missing dependencies
3. Tell user the specific reason and stop — Do not fallback to "then I'll use the text you pasted" etc.

• docs/SCORING_RUBRIC.md

  — 15-dimensional L/M/H behavior anchors (must read when scoring)

• docs/DISCLAIMER.md

  — Compliance/rejection scripts

• bin/sbti

  — Only command entry, see

  sbti --help

  for subcommands

• examples/huangshu_scores.json

  — Complete scores.json format reference