Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add botlearn-ai/botlearn-skills --skill sbtigit clone --depth 1 https://github.com/botlearn-ai/botlearn-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/botlearn-ai/botlearn-skills/sbti)<a href="https://agentmods.dev/skills/botlearn-ai/botlearn-skills/sbti"><img src="https://agentmods.dev/badge/skills/botlearn-ai/botlearn-skills/sbti/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/botlearn-ai/botlearn-skills/sbti"><img src="https://agentmods.dev/badge/skills/botlearn-ai/botlearn-skills/sbti.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.06803 |
| Opus 5.5 | $0.00000 | $0.02721 |
| Sonnet 5.5 | $0.00000 | $0.01361 |
| Haiku 4.5 | $0.00000 | $0.00680 |
Grade A, and why
sbti scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 691 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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]
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 691 lines · 0 tokens per session scan A f6548d608de0
sbti is a skill published in the GitHub repository botlearn-ai/botlearn-skills (10 stars, last pushed 24d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 6,803 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
sbti compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| sbtibotlearn-ai/botlearn-skills | Skill | 10 | 24d ago | MIT | A | 0 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |