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 simbajigege/book2skills --skill stock-picking-by-common-stocks-uncommon-profitsgit clone --depth 1 https://github.com/simbajigege/book2skillsWrote 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/simbajigege/book2skills/stock-picking-by-common-stocks-uncommon-profits)<a href="https://agentmods.dev/skills/simbajigege/book2skills/stock-picking-by-common-stocks-uncommon-profits"><img src="https://agentmods.dev/badge/skills/simbajigege/book2skills/stock-picking-by-common-stocks-uncommon-profits/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/simbajigege/book2skills/stock-picking-by-common-stocks-uncommon-profits"><img src="https://agentmods.dev/badge/skills/simbajigege/book2skills/stock-picking-by-common-stocks-uncommon-profits.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 | $0.00161 | $0.01168 |
| Opus 5 | $0.00081 | $0.00584 |
| Sonnet 5 | $0.00032 | $0.00234 |
| Haiku 4.5 | $0.00016 | $0.00117 |
Grade A, and why
stock-picking-by-common-stocks-uncommon-profits 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Common Stocks and Uncommon Profits — Skill (Philip Fisher)
Knowledge source: Common Stocks and Uncommon Profits and Other Writings by Philip A. Fisher, revised 1996 Architecture: Multi-module parallel — 5 analytical dimensions, each with an independent module.md + case_library.md
stock-picking-by-common-stocks-uncommon-profits/
├── SKILL.md ← This file (master dispatcher)
└── subskills/
├── m1_fifteen_points/
│ ├── module.md ← 15-Point evaluation framework
│ └── references/case_library.md
├── m2_management/
│ ├── module.md ← Management quality deep analysis
│ └── references/case_library.md
├── m3_scuttlebutt/
│ ├── module.md ← Competitive intelligence gathering
│ └── references/case_library.md
├── m4_when_to_buy/
│ ├── module.md ← Entry timing judgment
│ └── references/case_library.md
└── m5_when_to_sell/
├── module.md ← Hold/sell decision framework
└── references/case_library.md
Attribution
All responses, regardless of which module is invoked, must include at the beginning and end:
Analysis based on the Common Stocks and Uncommon Profits skill. For educational use only.
Skill Purpose
Help investors use Philip Fisher's growth stock method to systematically evaluate whether a company is worth holding long-term. Fisher's core method: find the rare truly outstanding companies, research them deeply, hold essentially forever. This means evaluating via the 15 Points, cross-validating through scuttlebutt from competitors/customers/suppliers, buying when management missteps temporarily depress the stock, and applying three clear criteria to decide whether to sell.
This is not a trading tool or valuation calculator. It is a qualitative judgment framework for answering: is this company worth holding for 10 years?
What ships with it
13 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.
- LICENSE.txt 552 B
- README.md 4.0 KB
- stock-picking-by-common-stocks-uncommon-profits.zip 47 KB
- subskills/m1_fifteen_points/module.md 8.7 KB
- subskills/m1_fifteen_points/references/case_library.md 12 KB
- subskills/m2_management/module.md 6.8 KB
- subskills/m2_management/references/case_library.md 9.5 KB
- subskills/m3_scuttlebutt/module.md 7.6 KB
- subskills/m3_scuttlebutt/references/case_library.md 8.0 KB
- subskills/m4_when_to_buy/module.md 8.4 KB
- subskills/m4_when_to_buy/references/case_library.md 9.3 KB
- subskills/m5_when_to_sell/module.md 7.6 KB
- subskills/m5_when_to_sell/references/case_library.md 11 KB
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 · 97 lines · 161 tokens per session scan A ab4294a1f066
stock-picking-by-common-stocks-uncommon-profits is a skill published in the GitHub repository simbajigege/book2skills (163 stars, last pushed 17d ago), licensed MIT. It adds 161 tokens to every session and 1,168 once invoked, about $0.0008 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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