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 leecyno1/boutique-skills --skill alphagbm-investment-thesisgit clone --depth 1 https://github.com/leecyno1/boutique-skillsWrote 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/leecyno1/boutique-skills/alphagbm-investment-thesis)<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/alphagbm-investment-thesis"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/alphagbm-investment-thesis/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/leecyno1/boutique-skills/alphagbm-investment-thesis"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/alphagbm-investment-thesis.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 | $0.00156 | $0.01617 |
| Opus 5 | $0.00078 | $0.00809 |
| Sonnet 5 | $0.00031 | $0.00323 |
| Haiku 4.5 | $0.00016 | $0.00162 |
Grade A, and why
alphagbm-investment-thesis 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.
This is a copy
100% identical to alphagbm-investment-thesis — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AlphaGBM Investment Thesis
Turn "I bought this because…" into a tracked, monitored record. Each thesis pairs a prose buy-reason with structured sell conditions so the system can auto-detect when the reasoning no longer holds.
When to use
- User wants to document why they bought a stock
- User wants to set exit triggers (price, PE, fundamental breach)
- User asks which theses are still valid vs triggered
- User asks to update / refine an existing thesis
- User mentions "论据" / "买入理由" / "卖出条件" / "thesis" / "exit trigger"
Prerequisites
- API Key: env
ALPHAGBM_API_KEY(formatagbm_xxxx…). - Base URL: default
https://alphagbm.zeabur.app. Override viaALPHAGBM_BASE_URL. - Profile required: A thesis must attach to an existing company profile. If the user hasn't created a profile for the ticker, call
POST /api/research/profilesfirst (seealphagbm-company-profile).
API Endpoints
All endpoints require Authorization: Bearer $ALPHAGBM_API_KEY.
1. List theses
GET /api/research/theses?status=active
| Query | Values | Description |
|---|---|---|
status |
active / triggered / closed |
Optional filter |
Response:
{
"success": true,
"theses": [
{ "id": 12, "ticker": "NVDA", "buy_thesis": "...", "status": "active", ... }
]
}
2. Get thesis by ticker
GET /api/research/theses/<TICKER>
Returns the active thesis for a ticker. 404 if none exists.
3. Create thesis
POST /api/research/theses
Content-Type: application/json
{
"ticker": "NVDA",
"buy_thesis": "AI capex cycle; data-center GPU moat; FCF > $60B.",
"sell_conditions": [
{ "type": "price_drop_pct", "value": 20 },
{ "type": "pe_above", "value": 60 },
{ "type": "growth_below", "value": 15 },
{ "type": "thesis_breach", "value": "cloud capex guidance cut > 20%" }
]
}
| Parameter | Type | Required | Description |
|---|---|---|---|
ticker |
string | yes | Must match an existing profile |
buy_thesis |
string | yes | Free-form prose, recommend 2-4 sentences |
sell_conditions |
array | no | Structured triggers (see types below) |
What ships with it
17 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 1.0 KB
- mock-data/AAPL.json 6.7 KB
- mock-data/buffett-analysis/example-ko.json 1.9 KB
- mock-data/fear-score/example-calm.json 661 B
- mock-data/fear-score/example-signal-triggered.json 663 B
- mock-data/hedge-advisor/example-gain-protection.json 1.5 KB
- mock-data/marks-cycle/example-neutral.json 366 B
- mock-data/META.json 8.8 KB
- mock-data/NVDA.json 8.4 KB
- mock-data/SPY.json 7.5 KB
- mock-data/take-profit/example-leveraged-etf.json 1.1 KB
- mock-data/tepper-signal/example-armed.json 589 B
- mock-data/tepper-signal/example-cold.json 488 B
- mock-data/TSLA.json 9.4 KB
- mock-data/vix-status/example-extreme-fear.json 528 B
- mock-data/vix-status/example-sweet-spot.json 506 B
- SOURCE.txt 456 B
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 · 179 lines · 156 tokens per session scan A 7d3e4b46f760
alphagbm-investment-thesis is a skill published in the GitHub repository leecyno1/boutique-skills (5 stars, last pushed today), licensed MIT. It adds 156 tokens to every session and 1,617 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to alphagbm-investment-thesis, differing in 0 lines, and is treated as a copy.
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