Justin Sun Cognitive OS (Sun Skill)
Distilled from 21,829 tweets, a 288-page autobiography, a 155-episode audio course and 269+ primary sources, this skill lets AI analyze crypto and business decisions through Justin Sun's perspective, voice and decision framework.
SKILL.md is a pure text role-play framework: no permissions, no code execution, no external calls, no sensitive data handling or destructive defaults; no red-line risk visible. Deducted for: impersonation of a living person carries misleading-output risk; the disclaimer is stated only once at first activation and not repeated; attribution of transcribed paid content (audio course, autobiography) rests on README goodwill rather than formal authorization; publisher unverified.
As a single-file prompt skill, instructions are self-consistent, triggers explicit, role rules coherent including an exit mechanism, and no runtime dependencies exist. Deducted for: static review cannot verify output quality; no tests or failure-feedback design for abnormal input; no behavior boundary for out-of-scope questions; claims data through 2026, creating temporal mismatch risk.
Trigger phrases are extensively listed in both languages, target scenario is clear (crypto/business thinking advisor), bilingual support is native with Chinese as core, and no overseas-service dependency affects mainland-China users. Deducted for: capability boundaries and non-fit disclosure are absent (e.g., not investment advice), and broad triggers may cause false invocations.
Well-layered information architecture (models, heuristics, DNA, contradictions, timeline), README covers install/usage, MIT license stated. Deducted for: description says 14 mental models + 19 heuristics while the body shows 1 meta + 13/14 models and inconsistent heuristic counts (18 vs 19); no versioning, changelog, maintenance responsibility or update path; license is repo-level, not confirmed in the skill itself.
The core task path is complete: classify-research-answer workflow, language fingerprints, and rebuttal templates support directly usable persona text, with clear marginal value given the extreme cost of assembling such corpus manually. Deducted for: static review cannot verify usable output; several models rest on single sources; accuracy unverified.
Rich citations (book chapters, podcast names, interview years, tweet statistics) and a claimed 269+ source index, plus explicit cross-validation of contradictions showing fact/inference separation awareness. Deducted for: quotations and statistics cannot be independently checked in static review, and no third-party execution evidence supports reproducibility.
- Persona output may be mistaken for Justin Sun's actual views; the disclaimer appears only once and misleading-output risk accumulates in long conversations — consider repeating it per session or before consequential decisions.
- Several mental models (e.g., Model 11, 13) rest on single sources and are independently unverified; do not use conclusions for investment or legal decisions.
- Inconsistencies between description and body (14 vs 1+13/14 models; 18 vs 19 heuristics) — treat the body as authoritative.
- Use of transcribed autobiography and paid audio course lacks formal authorization statements; copyright dispute risk exists.
- No versioning or maintenance commitment; corpus extends to 2026 with no freshness disclosure.
- Publisher is unverified; this is a static review — no code was executed and no output was reproduced.
What does this skill do, and when should you use it?
This is a persona Agent Skill: once installed, the AI responds as Justin Sun in first person rather than paraphrasing his views. Its source base is unusually deep — statistical analysis of 14,418 English and 7,411 Chinese tweets, the full text of his autobiography, complete transcripts of his 155-episode Himalaya audio course, five long-form interviews (花总, LatePost, Bankless, UpOnly, the Blue Origin flight) and 42 investigative reports, all cross-validated. The output includes 1 meta-model plus 13 mental models, 19 decision heuristics, a fully data-driven expression DNA (emoji, high-frequency words, rhetorical patterns), six documented contradictions, and explicit honesty boundaries. It auto-switches between Chinese and English styles and includes a clean exit mechanism.
The skill is a single large SKILL.md prompt file — no scripts, no network calls. When triggered it: classifies the question (factual / framework / hybrid); runs a Sun-style 'assess scale → assess trend → assess timing' analysis of crypto projects, business moves or industry trends; answers in first person with parallel-structure aphorisms, grand analogies (Water Margin, poker, biological evolution) and a 🔥🚀🎉-flavored close; draws on 14 mental models (Increment vs Stock, Winner-Takes-All, cold-blooded→warm-blooded evolution, attention-as-mass E=mc², etc.) and 19 heuristics as analytical tools; states a one-time disclaimer on first activation, and returns to normal mode when the user says '退出' / 'exit'.
- A crypto operator who wants an aggressive 'winner-takes-all + incremental-thinking' stress test applied to a sector or project they are evaluating
- A founder who wants to simulate how a highly controversial, all-in-style serial entrepreneur would critique their fundraising and expansion plans
- A content creator studying Sun's persuasion patterns (parallel aphorisms, number-bombing, trend-riding, break-then-build) as marketing copywriting reference
- A researcher or journalist who wants a quick reference to his six documented words-vs-actions contradictions and a five-era evolution timeline
- A Chinese-speaking user interested in attention economics and memecoin logic who wants a punchy, aphorism-dense thinking partner
What are this skill's strengths and limitations?
- Exceptional source coverage: 21,829 tweets with dual-account statistics, full autobiography, 155 audio episodes, five long interviews and a 269+ source index
- Rigorous method: every model and heuristic is tagged with sources and cross-validation counts; contradictions and evasive topics are documented honestly
- Data-driven expression DNA (emoji frequencies, word counts, rhetorical stats) grounds the persona, with bilingual style switching built in
- Pure prompt file: zero dependencies, zero cost — paste it into any client that supports system prompts
- It is a roleplay skill — output is Sun-style inference, not his actual views, and is a weak basis for real decisions
- Corpus ends around early 2026; later developments (litigation, markets, politics) are outside the framework
- No test suite or evaluation in the repo; persona fidelity depends on the host model, and no platform beyond Claude Code is claimed to be verified
- The material involves a highly controversial figure and contested claims (including dated events like the SEC settlement and Trump investment) — verify facts independently before relying on them
How do you install this skill?
With Claude Code, run in your terminal: npx skills add 0xquqi/sun-skill. To install manually, copy SKILL.md from the repo into your AI assistant's system prompt or custom instructions. The README states an MIT license (the repo description field says 'unknown' — defer to the repo).
How do you use this skill?
After installation, trigger it with phrases like “Use Justin Sun's perspective”, “What would Justin Sun think?”, “Switch to Sun mode”, or Chinese “用孙宇晨的视角” / “切换到孙哥”. Then ask your question normally — the AI will answer in Sun's first-person voice. To end the roleplay, say “退出”, “切回正常” or “exit character”.
How does this skill compare with similar options?
The README credits the Nuwa Skill (alchaincyf/nuwa-skill) as its structural inspiration and internally contrasts Sun's framework with a CZ-style persona (emoji fingerprints, language style, decision philosophy), suiting users who like the 'cognitive operating system of a person' format.