LLM

LLM is a skill for Claude Code, Codex from JiuTian-dev/SupplyChainCortex. It costs 59 tokens per session (5,035 once invoked), scanned A, original, no licence file.

A skill for adding large language model chat completions with the z-ai-web-dev-sdk. Large language models generate text and can hold conversations across multiple turns.

In plain words
What is it for?
Use it to build chatbots, AI assistants, conversational applications, or other features that generate text.
Why use it?
It helps when an application needs to generate replies while keeping system instructions and conversation context.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to build chatbots, AI assistants, conversational applications, or other features that generate text.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jiutian-dev/supplychaincortex/llm
Install

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.

Any agent
npx skills add JiuTian-dev/SupplyChainCortex --skill llm
Clone the repo
git clone --depth 1 https://github.com/JiuTian-dev/SupplyChainCortex

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for LLM

README.md
[![agentmods](https://agentmods.dev/badge/skills/jiutian-dev/supplychaincortex/llm/github.svg)](https://agentmods.dev/skills/jiutian-dev/supplychaincortex/llm)
Your own site
<a href="https://agentmods.dev/skills/jiutian-dev/supplychaincortex/llm"><img src="https://agentmods.dev/badge/skills/jiutian-dev/supplychaincortex/llm/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.

agentmods 80×15 button for LLM

Your own site · 80×15
<a href="https://agentmods.dev/skills/jiutian-dev/supplychaincortex/llm"><img src="https://agentmods.dev/badge/skills/jiutian-dev/supplychaincortex/llm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,035 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00059 $0.05035
Opus 5.5 $0.00024 $0.02014
Sonnet 5.5 $0.00012 $0.01007
Haiku 4.5 $0.00006 $0.00504

Measured 1mo ago against content hash 4759d1257c25, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

LLM 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/chat.ts), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/LLM/SKILL.md · 857 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

2 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.

Changes

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.

  1. 1mo ago First seen · 857 lines · 59 tokens per session scan A 4759d1257c25

Subscribe to this mod's changes

LLM is a skill published in the GitHub repository JiuTian-dev/SupplyChainCortex (6 stars, last pushed 3mo ago), with no licence file. It adds 59 tokens to every session and 5,035 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.

Related

Other skills, from other repositories

agents-meet-rl

Troubleshooter for agentic-RL training, evaluation, and experiment design on LLM agents (single or multi-agent, multi-turn, tool-augmented). Routes a user's symptom to fixes anchored in the corpus. TRIGGER when: user is training, evaluating, or designing experiments for an RL-trained LLM agent; symptoms like reward…

thinkwee/AgentsMeetRL · 220 tokens

data-analyzer

Guidance for analyzing structured data, generating statistics and producing data-driven insights. Use when the user asks to analyze data, compute statistics, find patterns, or generate analytical reports.

vixues/LeAgent · 39 tokens

code_interpreter

A tool for running Python code in an isolated environment. Python is a programming language often used for calculations, data processing, file-format conversion, and preparing chart data.

wanmol/goal-flow · 42 tokens

yait-aichain

Build AI features in Python — an LLM call, a multi-step pipeline, the same work over many items, or an agent that uses tools (web search, page fetching, your own functions, any REST API or MCP server, a working folder), asks a human before risky actions, stays within a money budget, or pauses and resumes — on any…

yaitio/aichain · 193 tokens

gpt-image-2-style-library

Choose GPT-Image2 / gpt-image-2 visual styles and industrial prompt templates from the awesome-gpt-image-2 style library. Use when an agent needs to create, rewrite, classify, or improve image-generation prompts with repository-backed templates, categories, style tags, scene tags, pitfalls, and example cases.

OWWZO/ai-agent · 72 tokens

alibabacloud-data-agent-mcp-skill

Alibaba Cloud Data Agent MCP skill (alibabacloud-data-agent-mcp-skill, data-agent MCP) for enterprise database/file analysis. Use when the user asks (in any language, including Chinese) to query/analyze DMS-managed databases, run SQL/data analysis, start quick-query (lite) or deep-analysis (pro/ultra) sessions…

aliyun/data-agent-skill · 199 tokens