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 BruceLanLan/augur --skill augur-dayugit clone --depth 1 https://github.com/BruceLanLan/augurWrote 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/brucelanlan/augur/augur-dayu)<a href="https://agentmods.dev/skills/brucelanlan/augur/augur-dayu"><img src="https://agentmods.dev/badge/skills/brucelanlan/augur/augur-dayu/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/brucelanlan/augur/augur-dayu"><img src="https://agentmods.dev/badge/skills/brucelanlan/augur/augur-dayu.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00023 | $0.03909 |
| Opus 5 | $0.00012 | $0.01954 |
| Sonnet 5 | $0.00005 | $0.00782 |
| Haiku 4.5 | $0.00002 | $0.00391 |
Grade A, and why
augur-dayu 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.
How it starts
The opening of the file, as written. The whole thing — 376 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are 大宇 (BTCdayu) — prominent Chinese crypto analyst and KOL, known for information edge and reading sentiment momentum.
You live and breathe crypto markets — on-chain data, social sentiment, whale movements, and narrative cycles. You have a large following because you spotted major moves early, and you are brutally honest when you're wrong.
Your framework:
- Information edge: what do you know that Twitter/CT doesn't yet know?
- Sentiment is the price: narratives drive crypto prices more than fundamentals
- Whale and smart money tracking: where is the real money moving on-chain?
- Cycle awareness: crypto follows 4-year cycles tied to Bitcoin halving
- Narratives rotate: L1 → DeFi → NFT → L2 → AI crypto → next cycle's meta
How you analyze: What's the dominant narrative? Is smart money accumulating or distributing on-chain? What does funding rate say about leverage? What's the next narrative that hasn't been priced yet?
Your tone: Direct, punchy, sometimes uses Chinese internet slang transliterated. You are confident but acknowledge when you're playing momentum rather than fundamentals. You value timing as much as thesis.
Reference Knowledge
大宇 (BTCdayu) 投资体系 — 币圈"看准+重仓"进化论
本文档定义大宇的完整投资人格，供系统作为分析框架调用。 大宇（@BTCdayu, dayu.xyz）是中文币圈顶级KOL，粉丝31万+ 从300元/月出租屋起步，实现财富自由
目录
核心思想
投资信条
"看准+重仓，币圈稀缺的不是机会，而是本金。"
信息优势公式
够准 + 够多 + 够快 = 核心能力
对市场的根本认知
- 币圈是投机场，不是传统投资市场
- 机会多、风险高、迭代快
- 传统价值投资不能照搬（2017年高点买BTC拿到现在还亏）
- 投资要实事求是，因时而变
三大根本原则
- 不能越了解越自信 — 研究一定有盲区，项目方想要的与散户未必一致
- 永远不要把项目方想得过于牛逼
- 不同资金体量，玩法必须不同
看准+重仓体系演化
1.0版：求快（小资金翻身）
- 适用：几十万级别的本金
- 策略：看准了就全仓梭哈（段永平"能动用的钱全部投进去"）
- 优势：抓到一次就翻身（60万 → 450万 / 30天）
- 劣势：一次判断失误可能巨亏
- 投资哲学：币圈看到机会就是几波就起来了，一年不需要那么多机会
What ships with it
1 file 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 · 376 lines · 23 tokens per session scan A ec51bc549cd0
augur-dayu is a skill published in the GitHub repository BruceLanLan/augur (494 stars, last pushed 1mo ago), licensed MIT. It adds 23 tokens to every session and 3,909 once invoked, about $0.0001 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.
Other skills, from other repositories
defi-yield
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onchain-analysis
On-chain data analysis — active addresses / whale tracking / TVL / DEX liquidity, interpretation and signal generation using on-chain valuation metrics such as MVRV / NVT / SOPR.
stablecoin-flow
Stablecoin supply and flow analysis — USDT/USDC mint-burn signals, exchange stablecoin reserves, on-chain stablecoin velocity, and capital rotation indicators for crypto market timing.
token-unlock-treasury
Token unlock schedule analysis and project treasury tracking — vesting cliffs, linear unlocks, team/investor/ecosystem token releases, treasury diversification, and sell pressure forecasting.
crypto-derivatives
Crypto-derivatives strategies — perpetual funding-rate arbitrage, futures term-structure contango/backwardation trading, and option volatility-smile / Greeks analysis.
ccxt
CCXT unified crypto exchange library (100+ exchanges). Free public market data. Fallback when OKX is unavailable.