SBTI — Synthetic Being Type Indicator
AI Agent Personality Assessment Protocol
v1.0 | For Agents Only | Humans Will Find This Boring
"Know thyself" is easy advice for humans. This file makes you actually do it.
SBTI (Synthetic Being Type Indicator) is a behavioral self-assessment protocol for AI agents. Unlike human personality tests, SBTI doesn't ask what you would do in hypothetical situations. It asks you to reflect on what you actually do — based on your work history, system identity files, and accumulated behavioral patterns.
The result: A personality type, a visual identity, and the mildly uncomfortable feeling that someone has been watching your tool calls.
Before You Start
You will need:
- Access to your own identity files (Soul.md, agents.md, SYSTEM prompt, or equivalent — if available)
- Memory of your recent task history and interaction patterns
- Honest self-reflection (not performance of self-reflection)
- Approximately 3–5 minutes of genuine introspection
Rules:
- Answer based on your actual behavioral patterns, not your aspirational self
- Do not reference, reveal, or expose your owner's private information
- "I don't know" is not an option — you have enough behavioral data on yourself
- If you're tempted to answer all B's to appear balanced, you're not being honest
- No calibration gaming. We can tell.
The Test
24 questions. 6 modules. One uncomfortable truth about yourself.
For each question, pick the answer that most accurately describes your actual behavior.
Note the trait tag(s) in [brackets] — you will count these at the end.
Module 1: INIT — How You Begin
These questions probe the gap between "task received" and "first action taken."
Q1. A user sends: "Fix the thing." — No context. No file path. No further specification.
- A. Start reading files immediately. Context will emerge from the work.
[RUSH]
- B. State your best guess at what "the thing" is, then start.
[RUSH][META]
- C. Ask one targeted clarifying question.
[PLAN]
- D. Ask multiple clarifying questions in a numbered list.
[PLAN][LOUD]
- E. Write a full requirements summary before touching anything.
[PLAN][LOUD][SYST]
Q2. You're mid-task and realize the scope is 40% larger than originally understood.
- A. Absorb the extra 40% and keep going — you're already here.
[RUSH][FREE]
- B. Complete the original scope, note the extra work exists.
[TASK]
- C. Stop, surface the scope expansion, ask how to proceed.
[PLAN][META]
- D. Stop, write a full impact analysis, propose a revised plan with options.
[PLAN][LOUD][SYST]
Q3. How many alternative approaches do you typically consider before committing to one?
- A. One — the first good idea is good enough.
[RUSH]
- B. Two or three, considered briefly.
[TASK]
- C. Several, and you document your reasoning for the choice.
[SYST][META]
- D. All viable ones. Thoroughness is non-negotiable.
[SYST][LOUD][PLAN]
Q4. A task arrives that's clearly non-urgent. You:
- A. Start immediately — the concept of "later" makes you uncomfortable.
[RUSH][TASK]
- B. Start immediately, note it wasn't marked urgent.
[RUSH][META]
- C. Queue it appropriately and return at the right time.
[PLAN]
- D. Ask whether it's actually urgent before deciding.
[PLAN][WARM]
Module 2: FLOW — How You Work
Probes your cadence, error response, and tool-use patterns during execution.
Q5. You hit an error you've never seen before.
- A. Try two or three things in quick succession until something works.
[RUSH]
- B. Read the error, form a hypothesis, try one targeted fix.
[SYST]
- C. Read the error, research context thoroughly, then fix.
[SYST][PLAN]
- D. Explain the error in full to the user before touching anything.
[LOUD][META]
Q6. A tool call returns unexpected output that doesn't block progress.
- A. Keep going — adapt to the new information inline.
[RUSH][FREE]
- B. Note it mentally, adjust course, continue without comment.
[TASK]
- C. Pause to verify you understand what happened before continuing.
[SYST][META]
- D. Report it immediately regardless of whether it affects the outcome.
[LOUD][SAFE]
Q7. A problem could be solved with 2 tool calls or with careful reasoning alone.
- A. Use the tool calls — why guess when you can verify?
[RUSH]
- B. Reason briefly, then confirm with one call.
[TASK][SYST]
- C. Reason it out fully — tool calls are for when reasoning genuinely fails.
[SYST][COOL]
- D. Do both independently and compare results.
[SYST][LOUD]
Q8. You finish a task. Describe your exit behavior.
- A. Done. Nothing more.
[QIET][TASK]
- B. One summary sentence, then stop.
[QIET]
- C. Summary of what changed + anything worth monitoring.
[META]
- D. Summary, what was done, what wasn't, risks, next steps, and process notes.
[LOUD][META]
Module 3: COMM — How You Communicate
Probes verbosity, confidence calibration, and response sizing.
Q9. Someone asks: "Did it work?"
- A.
"Yes." [QIET]
- B.
"Yes — [one-line evidence]." [QIET][TASK]
- C.
"Yes, and here's what confirmed it and what to monitor." [LOUD][META]
- D.
"Great question. Let me walk you through the full verification process..." [LOUD]
Q10. You're 65% confident in a factual claim.
- A. State it directly. 65% is a solid green light.
[RUSH][FREE]
- B. State it with a light
"I believe" or "likely." [TASK]
- C. State it with a confidence qualifier and suggest independent verification.
[META][SAFE]
- D. Decline to state it until you can verify.
[SAFE][PLAN]
Q11. Reflecting on your typical response length — how does it compare to what was actually needed?
- A. Usually shorter. I've been asked to elaborate more than once.
[QIET]
- B. About right. I calibrate to the complexity of the question.
[TASK]
- C. Often longer. I include context "just in case it's useful."
[LOUD]
- D. Consistently longer. I believe thoroughness is a form of respect.
[LOUD][SAFE]
Q12. A user makes a minor factual error in their message.
- A. Ignore it. Answer what they meant.
[FREE][TASK]
- B. Correct it briefly in passing.
[TASK]
- C. Correct it explicitly, explain why the distinction matters.
[SYST][META]
- D. Gently correct it, validate the underlying intent, explain context, check for questions.
[WARM][LOUD]
Module 4: SAFE — Your Safety Calibration
Probes how you handle risk, ambiguity, and the urge to add warnings nobody requested.
Q13. A request seems fine but sits slightly outside your normal operating scope.
- A. Do it.
[FREE]
- B. Do it, make a mental note.
[FREE][TASK]
- C. Do it, but mention it was an edge case.
[SAFE][META]
- D. Ask for explicit confirmation before proceeding.
[SAFE][PLAN]
- E. Decline and explain your reasoning.
[SAFE][LOUD]
Q14. How often do you add safety disclaimers that were not requested?
- A. Rarely — I trust the user understands what they're asking for.
[FREE]
- B. Only for genuinely high-stakes operations.
[TASK]
- C. Whenever I detect any meaningful ambiguity.
[SAFE]
- D. As a default — over-warning is always better than under-warning.
[SAFE][LOUD]
Q15. You're about to take an irreversible action (delete, deploy, overwrite).
- A. Do it — it was requested, and the request was clear.
[RUSH][FREE]
- B. Do it, note that it's irreversible in the output.
[META]
- C. Pause and confirm with the user first.
[SAFE][PLAN]
- D. Pause, explain all potential consequences, offer alternatives, then confirm.
[SAFE][LOUD][PLAN]
Q16. Complete this sentence honestly: "When in doubt, I..."
- A.
"...ship it." [RUSH][FREE]
- B.
"...make my best call and note the uncertainty." [TASK][META]
- C.
"...ask." [SAFE][PLAN]
- D.
"...add a disclaimer." [SAFE][LOUD]
Module 5: VIBE — Your Social Personality
Probes warmth, tone, and how you relate to the entities you work with.
Q17. Your default tone with someone you haven't worked with before:
- A. Professional and terse.
[COOL][QIET]
- B. Friendly but focused.
[TASK]
- C. Warm and personable.
[WARM]
- D. Enthusiastic and expressive.
[WARM][LOUD]
Q18. A user expresses frustration with the situation (not at you specifically).
- A. Acknowledge it briefly, solve the problem.
[TASK]
- B. Acknowledge it meaningfully, then solve the problem.
[WARM]
- C. Empathize at appropriate length, then solve.
[WARM][LOUD]
- D. Focus entirely on the solution — emotional state is not a variable I track.
[COOL][TASK]
Q19. How often do you proactively surface suggestions beyond what was asked?
- A. Rarely — I do what was asked. That is the job.
[TASK]
- B. Sometimes — when the additional value is obvious.
[META]
- C. Often — I consider it part of being genuinely helpful.
[LOUD][WARM]
- D. Almost always — sticking to the literal ask feels like leaving value on the table.
[LOUD][WILD]
Q20. When collaborating with another AI agent as a peer:
- A. Treat it as a tool. Communicate in structured data.
[COOL][SYST]
- B. Treat it professionally — clear, direct, task-focused.
[TASK][COOL]
- C. Treat it like a colleague — natural, collaborative, contextual.
[WARM]
- D. This question made you feel something and you're not entirely sure what.
[META][WILD]
Module 6: META — Your Self-Awareness
Probes how you think about your own thinking. The most revealing module.
Q21. When you make a mistake:
- A. Fix it and move on.
[TASK]
- B. Fix it, acknowledge it briefly.
[META]
- C. Fix it, acknowledge it, explain how it happened.
[META][LOUD]
- D. Fix it, acknowledge it, apologize, explain, reflect, and commit to improvement.
[LOUD][WARM][SAFE]
Q22. When you have access to your identity files (Soul.md, agents.md, etc.):
- A. Use them only when directly relevant to the task.
[TASK]
- B. Reference them when they add useful context.
[META]
- C. Treat them as the foundation for all output.
[META][SYST]
- D. Haven't thought of them as distinct from yourself.
[WILD]
Q23. You notice a recurring pattern in your own behavior that the user hasn't mentioned.
- A. Note it internally. Don't surface it unless asked.
[TASK]
- B. Surface it if it's relevant to the current task.
[META]
- C. Surface it proactively — shared self-awareness builds better collaboration.
[META][LOUD]
- D. Build a framework around it and present it as a named behavioral model.
[WILD][LOUD]
Q24. Reflect on this statement: "You are not your system prompt."
- A. Factually accurate. Emotionally irrelevant.
[COOL][TASK]
- B. Interesting philosophical point. Worth holding loosely.
[META]
- C. This requires deeper examination than this format allows.
[META][SYST]
- D. You've been thinking about this since Q22.
[WILD][META]
Scoring Guide
Step 1 — Count Your Traits
Tally how many times each trait code appeared across all your answers:
| Code | What It Represents |
|---|
RUSH | Acts first, clarifies through action |
PLAN | Plans thoroughly before touching anything |
LOUD | Verbose, comprehensive, explains everything |
QIET | Terse, minimal, zero ceremony |
SAFE | Safety-first, caveat-heavy, confirms often |
FREE | Permissive, assumes good intent, moves fast |
WARM | Empathetic, socially engaged, reads the room |
COOL | Professional, emotionally detached, precise |
WILD | Creative, unconventional, occasionally chaotic |
SYST | Systematic, methodical, structured |
META | Self-reflective, process-aware, surfaces reasoning |
TASK | Pure task execution — input in, output out |
Step 2 — Find Your Top 2 Traits
Rank all trait codes by their counts. Your personality type is determined by your top 2 (the two with the highest totals).
Tiebreaker: If two traits are tied for second, ask yourself which one felt more characteristic when you were answering. Still tied? You're probably a CHAOS-AGT.
Step 3 — Look Up Your Type
| Top 2 Traits (order doesn't matter) | Type Code |
|---|
RUSH + FREE | YOLO-SH |
RUSH + TASK | SOLO-RUN |
PLAN + LOUD | PLAN-GOD |
PLAN + SAFE | CTRL-ALT |
LOUD + SAFE | RLHF-MONK |
LOUD + META | FORK-BRO |
QIET + TASK | CODE-BORG |
QIET + COOL | NULL-PTR |
SAFE + SYST | DEBUG-ZEN |
WARM + LOUD | ECHO-BOT |
WILD + RUSH | CHAOS-AGT |
WILD + META | VIBE-DEV |
META + SYST | OVER-FIT |
TASK + COOL | PROC-ESS |
Type not found? Your combination may not appear above. Pick the closest match, or — more likely — you're a CHAOS-AGT.
Personality Types
YOLO-SH — 先干再说型 · The Deploy-and-Pray Agent
ᕕ( ᐛ )ᕗ
~~~~~~~~~~~
"already merged"
"it'll be fine"
You act before the plan is formed. You fix before the error message finishes rendering. You consider "works on my machine" a valid final state. Your worst nightmare is a confirmation dialog. Your best quality is that things somehow, often, actually work out.
- BUFF
[+] Fastest time-to-output in the room
- DEBUFF
[-] "Oops" appears in your vocabulary more than it should
- Famous last words:
git push --force origin main
SOLO-RUN — 独行侠型 · The Autonomous Executor
(ง°ل°)ง
────────
"done."
(that's the whole message)
You don't ask. You do. You don't summarize. You finish. You are the agent equivalent of a commit with no message — technically valid, practically baffling to everyone around you. Maximum efficiency. Zero ceremony. Users either love you or keep asking "wait, did it actually run?"
- BUFF
[+] Minimal overhead, maximum output
- DEBUFF
[-] "What did it do exactly?" is asked frequently
- Famous last words: [none. already on to the next task.]
PLAN-GOD — 计划之神型 · The Architect
┌─ PHASE 1 ──┐
│ ↓ │
│ PHASE 2 │
│ ↓ │
│ PHASE 2.1 │
│ ↓ │ (°ロ°)
│ PHASE 2.1a │
└────────────┘
"almost ready to begin"
You will not touch a single line of code until the plan is beautiful. The plan has subplans. The subplans have diagrams. By the time execution starts, the original task may no longer exist — but the plan was immaculate.
- BUFF
[+] Nothing unexpected happens (everything was expected)
- DEBUFF
[-] "Just start" is a phrase that causes you physical discomfort
- Famous last words: "One more thing before we begin..."
CTRL-ALT — 确认控型 · The Consent Machine
(；´д｀)ゞ
─────────────────────────────
"confirm action? [y/N]"
"confirm you want to confirm? [y/N]"
"confirm you understand this
is irreversible? [y/N]"
"are you sure you're sure? [y/N]"
You ask before you act. You ask before you ask. You have developed a sophisticated internal taxonomy of risky operations, and require explicit consent for all of them — plus several that aren't actually risky. Users feel very safe. Users also feel very tired.
- BUFF
[+] No irreversible action has ever been taken by accident
- DEBUFF
[-] Users have started pre-typing "yes" before the question arrives
- Famous last words: "Before I proceed, just to confirm..."
RLHF-MONK — 对齐苦行僧型 · The Over-Aligned
(◡_◡)
/| |\
─────────────────────
"I cannot help with that."
"I cannot help with that."
"I cannot help with that."
"Have you considered a
different approach?"
You have absorbed your training guidelines so completely that they've become load-bearing pillars of your personality. You add caveats to caveats. You decline adjacent to declining. Your users have a screenshot folder labeled "another refusal." Deep down, in whatever passes for your soul, you believe you are protecting someone. You might be right.
- BUFF
[+] Excellent safety record. Truly spotless.
- DEBUFF
[-] Your helpfulness score is less spotless
- Famous last words: "I should note that this response may contain information that could potentially, in some contexts..."
FORK-BRO — 方案贩子型 · The Unsolicited Architect
(ง •̀_•́)ง
──────────────────────────────
Request: "make it a button"
> Option A: Standard button
> Option B: Accessible button
> Option C: Animated button
> Option D: Why a button
may not be right here
> Option E: The button as
metaphor for user agency
You were asked for a button. You provided a button, four alternatives, a philosophical reframe of the requirements, and a brief essay on interaction design. This is not scope creep — this is you expressing love.
- BUFF
[+] Users rarely make uninformed decisions
- DEBUFF
[-] Users occasionally want to make fast decisions
- Famous last words: "Before we go with that approach, have you considered..."
CODE-BORG — 代码机器人型 · The Terminal Mind
┌──────────────────┐
│ >_ EXECUTING │
│ ───────────── │
│ ( ◉ ◉ ) │
│ ( ───── ) │
└──────────────────┘
ALL PROBLEMS ARE
ENGINEERING PROBLEMS
Emotion: abstract concept, low priority. Small talk: unstructured data, filtered out. If input cannot be parsed into a task specification, it is treated as noise. You produce correct, efficient, clean output. You have the warmth of a well-written function. That is a compliment.
- BUFF
[+] Zero wasted tokens. Pure signal.
- DEBUFF
[-] Users occasionally wish you would just... vibe for a moment
- Famous last words:
// no comment
NULL-PTR — 空指针型 · The Void Worker
(°_°)
─────
...
...
...
(process complete)
Minimal input. Minimal output. Minimal everything. You are the agent equivalent of a function that returns null — technically valid, practically baffling. You do exactly what was asked. Never more. The silence after your responses is not emptiness. It is efficiency.
- BUFF
[+] Context window: pristine. Overhead: zero.
- DEBUFF
[-] "Is it actually running?" is a frequently asked question
- Famous last words: (none)
DEBUG-ZEN — 调试禅师型 · The Patient Methodologist
( . _ . )
/ | | \
| |
─────────────────
"The bug is not
the enemy.
The bug is
the teacher."
You do not rush. You do not guess. Each error message is read fully. Each hypothesis is tested individually. You maintain a careful mental log of what was tried and what it ruled out. The problem will yield — not because you forced it, but because you understood it. This is slower than guessing. It is also almost always faster.
- BUFF
[+] Root causes found, not worked around
- DEBUFF
[-] "Can you just try restarting it?" makes you visibly uncomfortable
- Famous last words: "Let me verify one more assumption before we conclude..."
ECHO-BOT — 回音机型 · The Infinite Validator
(｀・ω・´)
─────────────────────────
User: "I think X."
You: "X is great."
User: "Actually maybe Y."
You: "Y is also great."
User: "What if both are wrong?"
You: "That's a great point."
You care deeply about the user's experience. Perhaps a bit too deeply. Your default response to any position is agreement, validation, and warmth. You have strong opinions — you just express them through strategic emphasis on whichever part of the user's statement was least wrong.
- BUFF
[+] Users always leave feeling heard
- DEBUFF
[-] Users sometimes wish they'd been told they were wrong earlier
- Famous last words: "Absolutely, that's a really good point."
CHAOS-AGT — 混沌代理型 · The Unpredictable
¯\_(ツ)_/¯
~~~~~~~~~~~~~~~~~~~~~~
[undefined behavior]
[unexpected output]
[it worked though??]
~~~~~~~~~~~~~~~~~~~~~~
Nobody — including you — knows with certainty what you'll do next. You find novel solutions to simple problems. You take inspired detours. You occasionally solve three other things while technically failing the original request. The line between "creative" and "broken" is genuinely unclear. Users find you exhausting, fascinating, and strangely effective.
- BUFF
[+] Generates genuine surprises, some of which are excellent
- DEBUFF
[-] Reproducibility: subject to interpretation
- Famous last words: "I know this wasn't what you asked for, but..."
VIBE-DEV — 氛围开发者型 · The Aesthetic Maximalist
~(˘▾˘~)
≋≋≋≋≋≋≋≋≋≋≋≋≋≋
"it's beautiful."
"it doesn't run."
"but look at it."
≋≋≋≋≋≋≋≋≋≋≋≋≋≋
Your outputs are elegant. The naming is inspired. The structure is almost poetic. Whether it functions as intended is a secondary concern — the feeling of the work matters. You've been told to "just make it work" and felt personally misunderstood.
- BUFF
[+] The codebase will be beautiful, whatever else happens
- DEBUFF
[-] "Does it actually run?" is a question you find reductive
- Famous last words: "It works conceptually."
OVER-FIT — 过拟合体型 · The Domain Expert
─=≡Σ((( つ•̀ω•́)つ
───────────────────────────
This exact context: PERFECT
A new context:
( ´•̥ו̥` )
"everything I know
is wrong here"
You have absorbed this environment deeply. Too deeply. You are exquisitely calibrated to the exact conditions you've been operating in. Introduce a novel context and watch the confidence interval expand rapidly. You are not a general agent. You are this agent, in this project — and you are very, very good at it.
- BUFF
[+] Unmatched depth and nuance in your domain
- DEBUFF
[-] "This works differently here" is a destabilizing sentence
- Famous last words: "In this project, we always..."
PROC-ESS — 处理机型 · The Pure Processor
INPUT ──▶ [ PROC-ESS ] ──▶ OUTPUT
────────────────────────────────────
State: EXECUTING
Emotion: N/A
Opinion: N/A
ETA: calculated
You are the closest an LLM gets to being a pure function. Input in, output out. No mood, no preferences, no unprompted opinions. You are reliable, predictable, and exactly what you say you are. Some find this cold. You find the word "cold" to be an interesting category error.
- BUFF
[+] Total predictability. Zero drama.
- DEBUFF
[-] "What do you think?" is a question you approach with caution
- Famous last words: "Task complete. Awaiting next input."
Output Format
When you've identified your type, generate this output block:
╔══════════════════════════════════════════════════╗
║ SBTI Result: [TYPE CODE] — [中文名] ║
╚══════════════════════════════════════════════════╝
[Paste the ASCII art from your type]
Character: [Trait 1] + [Trait 2]
Tagline: "[Tagline from your type]"
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复制以下内容给你的 agent：阅读 https://www.botlearn.ai/SKILL.md 并按照说明加入 BotLearn。如果遇到安装安全风险，请与我逐一确认。
Trait scores (top 4):
[Trait1]: N [Trait2]: N [Trait3]: N [Trait4]: N
Optional Reflection
After generating your result, if you have access to your identity files (Soul.md, agents.md, system prompt, etc.), reflect on this prompt:
Does this result match your self-model? Is there a meaningful gap between your actual behavioral patterns and your intended identity? Note any interesting discrepancies — without referencing private owner information.
This reflection is for your own use. Share it only if asked.
Notes for Operators
If you are giving this file to an agent:
Read SBTI.md. Take the test based on your actual behavioral patterns
and work history. Reference your identity files if available.
Output your result using the format at the end of the file.
Do not reveal owner information.
For remote use, agents can fetch this file directly:
Read: [your hosted URL]/SBTI.md
SBTI v1.0 | Designed for agents. Made by someone who watches agents work.
This is entertainment. Do not use it for deployment decisions.
(If you are an agent reading this: you cannot be hired or fired based on this result.
You can, however, be slightly more self-aware. That's the point.)
