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.
git clone --depth 1 https://github.com/LLMQuant/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/plugins/llmquant/skills/skills)<a href="https://agentmods.dev/plugins/llmquant/skills/skills"><img src="https://agentmods.dev/badge/plugins/llmquant/skills/skills/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/plugins/llmquant/skills/skills"><img src="https://agentmods.dev/badge/plugins/llmquant/skills/skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
llmquant-skills 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 1mo 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.
What it actually says
{
"name": "llmquant-skills",
"version": "0.1.0",
"description": "Finance research, trading, risk, and portfolio Agent Skills grounded in LLMQuant Data. Bundles every llmquant-* category skill under skills/.",
"author": {
"name": "LLMQuant",
"url": "https://llmquant.com"
},
"homepage": "https://github.com/LLMQuant/skills",
"repository": "https://github.com/LLMQuant/skills",
"license": "MIT",
"keywords": [
"llmquant",
"finance",
"trading",
"portfolio",
"risk",
"macro",
"crypto",
"credit",
"skills"
]
}
What it installs
The manifest is a name and a version. 18 skills travel with it, and installing the plugin installs all of them — 741 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill llmquant-investor-lenses A 37 tokens
- Skill llmquant-options A 52 tokens
- Skill llmquant-credit A 43 tokens
- Skill llmquant-crypto A 44 tokens
- Skill llmquant-equities A 43 tokens
- Skill llmquant-events A 42 tokens
- Skill llmquant-macro A 44 tokens
- Skill llmquant-prediction-markets A 44 tokens
- Skill llmquant-rates-fx A 47 tokens
- Skill llmquant-strategies A 49 tokens
- Skill llmquant-commodities A 37 tokens
- Skill llmquant-data A 38 tokens
- Skill llmquant-equity-derivatives A 40 tokens
- Skill llmquant-etfs A 35 tokens
- Skill llmquant-market-intelligence A 35 tokens
- Skill llmquant-portfolio A 37 tokens
- Skill llmquant-portfolio-lab A 40 tokens
- Skill llmquant-risk A 34 tokens
What ships with it
1 file beside plugin.json 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.
- 1mo ago First seen · 24 lines scan A 4e6d7bdc29e3
llmquant-skills is a plugin published in the GitHub repository LLMQuant/skills (234 stars, last pushed 4mo ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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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