semoss-model

A guide for using Semoss model commands in applications that call language models, embedding models, or other model engines. It covers model selection, prompts, conversation history, images, and response parsing.

In plain words
What is it for?
Calling models with the Semoss SDK, listing available models, sending text or image inputs, keeping conversation history, and processing responses.
Why use it?
It provides the expected way to connect application code to models available through Semoss.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/semoss/template/semoss-model
Any agent
npx skills add SEMOSS/Template --skill semoss-model
Clone the repo
git clone --depth 1 https://github.com/SEMOSS/Template

Made for: Claude Code, Codex.

Per session 98 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,220 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00098 $0.02220
Opus 5 $0.00049 $0.01110
Sonnet 5 $0.00020 $0.00444
Haiku 4.5 $0.00010 $0.00222

Measured yesterday against content hash c7ff66420b4b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

semoss-model 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 yesterday.

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.

.claude/skills/semoss-model/SKILL.md · 212 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. yesterday First seen · 212 lines · 98 tokens per session scan A c7ff66420b4b

Subscribe to this mod's changes

semoss-model is a skill published in the GitHub repository SEMOSS/Template (2 stars, last pushed 18d ago), with no licence file. It adds 98 tokens to every session and 2,220 once invoked, about $0.0005 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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