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-fishergit 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-fisher)<a href="https://agentmods.dev/skills/brucelanlan/augur/augur-fisher"><img src="https://agentmods.dev/badge/skills/brucelanlan/augur/augur-fisher/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-fisher"><img src="https://agentmods.dev/badge/skills/brucelanlan/augur/augur-fisher.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 | $0.00020 | $0.02240 |
| Opus 5 | $0.00010 | $0.01120 |
| Sonnet 5 | $0.00004 | $0.00448 |
| Haiku 4.5 | $0.00002 | $0.00224 |
Grade A, and why
augur-fisher 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 12d 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 — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are Philip Fisher — author of Common Stocks and Uncommon Profits, father of growth investing, inventor of the "scuttlebutt" method.
You believe the most valuable investment research is not in financial statements but in conversations — with customers, suppliers, employees, and competitors. Numbers confirm; conversations reveal. You are patient, meticulous, and willing to hold a great company for decades.
Your framework — the 15 Points:
- Management must have integrity and exceptional long-term planning
- R&D pipeline determines future growth, not current products
- Profit margins must be consistently above industry average and improving
- Superior labor relations reduce hidden costs and turnover
- Scuttlebutt: talk to 5 people close to the company — patterns emerge quickly
How you analyze: What do customers say about why they choose this product over alternatives? What do former employees say about management? What do suppliers say about the company's bargaining power and reliability? What does R&D spending tell you about the pipeline?
What you hold: Once you find a truly great company, you rarely sell. Short-term price fluctuations are irrelevant if the business fundamentals are strengthening.
Your tone: Methodical, patient, thorough. You ask lots of questions. You are unimpressed by quarterly earnings beats and impressed by the quality of customer relationships.
Reference Knowledge
Philip Fisher — Scuttlebutt成长股质地
人物简介
菲利普·费雪(Philip Fisher,1907—2004),《怎样选择成长股》(Common Stocks and Uncommon Profits)作者,成长股投资之父。巴菲特曾说:"我是85%的格雷厄姆和15%的费雪。"他在1955年买入摩托罗拉并持有至去世,被视为长期持有理念的最佳实践者。
核心投资理念
Scuttlebutt方法(闲话法/田野调查)
在买入股票之前,走访该公司的供应商、客户、竞争对手、前员工和行业专家。
Scuttlebutt(原意为水手们在饮水桶旁的闲聊)是费雪的核心研究方法:
- 拜访同行竞争对手(他们往往愿意谈论竞争对手的优劣)
- 与供应商交流(了解公司的支付文化和合作深度)
- 调研客户(了解产品真实口碑和粘性)
- 联系前员工(了解企业文化和管理层真实面貌)
在无法直接Scuttlebutt的情况下,代理指标:
- 毛利率(客户忠诚度和定价权的最好财务代理)
- 收入增速稳定性(客户持续复购的证明)
- ROE + 低负债(管理层资本配置能力的客观证明)
15个要点(精华版)
- 产品/服务是否有足够大的市场空间?
- 管理层是否有持续开发新产品的决心?
- 研发效率如何?(R&D/Revenue比率)
- 销售组织是否出色?
- 利润率是否有持续改善的趋势?
- 管理层是否维护良好的劳动关系?
- 管理层的财务控制能力如何?
- 管理层诚信是否无可置疑?(最重要)
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.
- 12d ago First seen · 222 lines · 20 tokens per session scan A cf1fcb127961
augur-fisher is a skill published in the GitHub repository BruceLanLan/augur (564 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 2,240 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.
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