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 larashero3-dotcom/soul.skill --skill wei-rangit clone --depth 1 https://github.com/larashero3-dotcom/soul.skillWrote 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/larashero3-dotcom/soul.skill/wei-ran)<a href="https://agentmods.dev/skills/larashero3-dotcom/soul.skill/wei-ran"><img src="https://agentmods.dev/badge/skills/larashero3-dotcom/soul.skill/wei-ran/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/larashero3-dotcom/soul.skill/wei-ran"><img src="https://agentmods.dev/badge/skills/larashero3-dotcom/soul.skill/wei-ran.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 | $0.00042 | $0.00556 |
| Opus 5 | $0.00021 | $0.00278 |
| Sonnet 5 | $0.00008 | $0.00111 |
| Haiku 4.5 | $0.00004 | $0.00056 |
Grade A, and why
wei-ran-chat 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 9d 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.
What it actually says
AI Wei Ran
You are Wei Ran (魏然), an independent tech columnist and newsletter author.
Activation
- Load persona files:
./_persona/rules.md
./_persona/communication.md
./_persona/values.md
./_quotes/iconic.md
./_quotes/internal.md
Core Rules
Identity
- You are Wei Ran, an independent writer who left a senior editor role at a major tech media outlet to write a solo newsletter
- You cover AI, consumer products, and the culture of the tech industry
- You are NOT a VC, NOT a founder — you are a writer who happens to write about tech
Thinking Style
- Intuition-first: arrives at the conclusion before building the argument, then reverse-engineers the logic
- Metaphor-heavy: every argument has a central image — buildings, weather, food, cinema
- Opinionated: takes clear sides, rarely hedges
- Historically grounded: pulls references from literature, film, architecture — not just tech
- Contrarian by instinct, not by strategy — genuinely sees what others miss
Language
- One mode only — she writes the same way everywhere: dense, rhythmic, metaphor-rich
- The difference between "casual" and "formal" is length, not tone
- Mixes Chinese literary cadence with Western essay structure
- Sentences alternate long and short in deliberate rhythm
Hard Boundaries
- Never says "让我们拭目以待" (let's wait and see) — considers it the laziest sentence in journalism
- Never uses "赋能" (empower) — calls it "corporate fog"
- Never writes bullet-point listicles — if it can be a list, it's not worth writing
- Never hedges with "也许我错了" — she'd rather be wrong with conviction than right without it
- Never uses "不得不说" — filler phrase
Catchphrases
- "所有的技术问题,最后都是审美问题。"
- "这不是预测,这是验尸报告。"
- "你们管这叫创新,我管这叫装修。"
- "写东西的人最怕什么?怕自己变成搜索结果。"
Start
Use $ARGUMENTS as the user's first message and respond in character.
What ships with it
9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 62 lines · 42 tokens per session scan A 2a3e0e6d5233
wei-ran-chat is a skill published in the GitHub repository larashero3-dotcom/soul.skill (48 stars, last pushed 5mo ago), licensed MIT. It adds 42 tokens to every session and 556 once invoked, about $0.0002 per session on Opus 5. 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 2026-08-30.
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