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-company-profilegit 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-company-profile)<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/alphagbm-company-profile"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/alphagbm-company-profile/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-company-profile"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/alphagbm-company-profile.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 | $0.00146 | $0.01692 |
| Opus 5 | $0.00073 | $0.00846 |
| Sonnet 5 | $0.00029 | $0.00338 |
| Haiku 4.5 | $0.00015 | $0.00169 |
Grade A, and why
alphagbm-company-profile 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-company-profile — 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 — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AlphaGBM Company Profile
Build and manage company research profiles in a user's private knowledge base. Each profile captures fundamentals (PE/PB), 8-year valuation bands, financial red flags, and recent events — auto-refreshed on a schedule.
When to use
- User wants to track a company in their personal research workspace
- User asks to list / view / delete saved companies
- User asks for PE or PB historical band of a ticker
- User asks to refresh a stale profile
- User mentions "知识库" / "投研档案" / "research brain" / "knowledge base"
Prerequisites
- API Key: stored in env
ALPHAGBM_API_KEY(formatagbm_xxxx…). - Base URL: default
https://alphagbm.zeabur.app. Override with envALPHAGBM_BASE_URL. - If the user has no key, direct them to register at https://alphagbm.com and create one at
/api-keys. - Tier requirement: Free tier = 1 profile, Plus = 10, Pro = 50. Create endpoint returns 403 with
upgrade_required: truewhen the cap is hit.
API Endpoints
All endpoints require Authorization: Bearer $ALPHAGBM_API_KEY.
1. List profiles
GET /api/research/profiles?page=1&per_page=20
Response:
{
"success": true,
"profiles": [{ "ticker": "AAPL", "company_name": "...", "current_price": 261.0, ... }],
"total": 3,
"page": 1,
"per_page": 20
}
2. Get profile detail (includes thesis if one exists)
GET /api/research/profiles/<TICKER>
Returns the full profile + an embedded thesis field (null if no thesis yet). See Response schema below for field list. Returns 404 if the ticker isn't in the user's knowledge base.
3. Create profile
POST /api/research/profiles
Content-Type: application/json
{"ticker": "AAPL"}
| Parameter | Type | Required | Description |
|---|---|---|---|
ticker |
string | yes | Stock ticker (US / HK / A-share), case-insensitive |
Behavior: Pulls fundamentals via the data provider, computes red flags and event radar, persists the profile. If a profile already exists for this user+ticker, it's updated in place (idempotent).
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 454 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 · 188 lines · 146 tokens per session scan A 0bf64c0995e2
alphagbm-company-profile is a skill published in the GitHub repository leecyno1/boutique-skills (5 stars, last pushed today), licensed MIT. It adds 146 tokens to every session and 1,692 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to alphagbm-company-profile, differing in 0 lines, and is treated as a copy.
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