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-health-checkgit 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-health-check)<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/alphagbm-health-check"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/alphagbm-health-check/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-health-check"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/alphagbm-health-check.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 | $0.00129 | $0.01535 |
| Opus 5 | $0.00064 | $0.00767 |
| Sonnet 5 | $0.00026 | $0.00307 |
| Haiku 4.5 | $0.00013 | $0.00153 |
Grade A, and why
alphagbm-health-check 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-health-check — 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AlphaGBM Knowledge Base Health Check
Periodic audit of a user's research workspace — stale profiles, drifted theses, orphan pages — with an overall 0-100 score and concrete recommendations.
When to use
- User asks for an overview of what's broken / out of date in their KB
- User wants to manually trigger a fresh health report
- User asks about stale profiles, thesis drift, or orphan items
- User mentions "健康体检" / "体检" / "audit" / "health check" / "什么需要更新"
Prerequisites
- API Key: env
ALPHAGBM_API_KEY(formatagbm_xxxx…). - Base URL: default
https://alphagbm.zeabur.app. Override viaALPHAGBM_BASE_URL. - Tier requirement for generate:
POST /health/generateis Pro-only. Free/Plus users get 403 withupgrade_required: true. Free/Plus users can still read the latest auto-generated weekly report viaGET /health.
API Endpoints
All endpoints require Authorization: Bearer $ALPHAGBM_API_KEY.
1. Get latest health report
GET /api/research/health
Response when a report exists:
{
"success": true,
"has_report": true,
"report_date": "2026-04-13",
"overall_score": 78,
"stale_profiles": [
{"ticker": "AAPL", "days_since_update": 21}
],
"thesis_drift": [
{"ticker": "NVDA", "drift_reason": "Revenue growth now 12% vs 25% when thesis was written"}
],
"orphan_pages": [
{"ticker": "XYZ", "issue": "Profile has no thesis after 30 days"}
],
"recommendations": [
{"action": "refresh", "ticker": "AAPL", "reason": "21 days stale"},
{"action": "review_thesis", "ticker": "NVDA", "reason": "growth decelerated"},
{"action": "archive", "ticker": "XYZ", "reason": "orphan for 30+ days"}
],
"created_at": "2026-04-13T02:00:00Z"
}
Response when no report yet:
{
"success": true,
"has_report": false
}
2. Generate fresh report (Pro-only)
POST /api/research/health/generate
Kicks off immediate audit across the user's profiles + theses + themes. Returns the new report in the same shape as GET.
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 451 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 · 168 lines · 129 tokens per session scan A b029b0705379
alphagbm-health-check is a skill published in the GitHub repository leecyno1/boutique-skills (5 stars, last pushed today), licensed MIT. It adds 129 tokens to every session and 1,535 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to alphagbm-health-check, differing in 0 lines, and is treated as a copy.
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