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 ssmurfgg04-gif/context-m --skill llmgit clone --depth 1 https://github.com/ssmurfgg04-gif/context-mWrote 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/ssmurfgg04-gif/context-m/llm)<a href="https://agentmods.dev/skills/ssmurfgg04-gif/context-m/llm"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/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.
<a href="https://agentmods.dev/skills/ssmurfgg04-gif/context-m/llm"><img src="https://agentmods.dev/badge/skills/ssmurfgg04-gif/context-m/llm.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 | $0.00059 | $0.05035 |
| Opus 5 | $0.00030 | $0.02518 |
| Sonnet 5 | $0.00012 | $0.01007 |
| Haiku 4.5 | $0.00006 | $0.00504 |
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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 857 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LLM (Large Language Model) Skill
This skill guides the implementation of chat completions functionality using the z-ai-web-dev-sdk package, enabling powerful conversational AI and text generation capabilities.
Skills Path
Skill Location: {project_path}/skills/llm
this skill is located at above path in your project.
Reference Scripts: Example test scripts are available in the {Skill Location}/scripts/ directory for quick testing and reference. See {Skill Location}/scripts/chat.ts for a working example.
Overview
The LLM skill allows you to build applications that leverage large language models for natural language understanding and generation, including chatbots, AI assistants, content generation, and more.
IMPORTANT: z-ai-web-dev-sdk MUST be used in backend code only. Never use it in client-side code.
Prerequisites
The z-ai-web-dev-sdk package is already installed. Import it as shown in the examples below.
CLI Usage (For Simple Tasks)
For simple, one-off chat completions, you can use the z-ai CLI instead of writing code. This is ideal for quick tests, simple queries, or automation scripts.
Basic Chat
# Simple question
z-ai chat --prompt "What is the capital of France?"
# Save response to file
z-ai chat -p "Explain quantum computing" -o response.json
# Stream the response
z-ai chat -p "Write a short poem" --stream
With System Prompt
# Custom system prompt for specific behavior
z-ai chat \
--prompt "Review this code: function add(a,b) { return a+b; }" \
--system "You are an expert code reviewer" \
-o review.json
With Thinking (Chain of Thought)
# Enable thinking for complex reasoning
z-ai chat \
--prompt "Solve this math problem: If a train travels 120km in 2 hours, what's its speed?" \
--thinking \
-o solution.json
CLI Parameters
--prompt, -p <text>: Required - User message content--system, -s <text>: Optional - System prompt for custom behavior--thinking, -t: Optional - Enable chain-of-thought reasoning (default: disabled)--output, -o <path>: Optional - Output file path (JSON format)--stream: Optional - Stream the response in real-time
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.
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.
- 10d ago First seen · 857 lines · 59 tokens per session scan A 4759d1257c25
LLM is a skill published in the GitHub repository ssmurfgg04-gif/context-m (1 stars, last pushed yesterday), licensed Apache-2.0. It adds 59 tokens to every session and 5,035 once invoked, about $0.0003 per session on Opus 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.
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