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 UpstageAI/upstage-extensions-hub --skill upstage-document-classificationgit clone --depth 1 https://github.com/UpstageAI/upstage-extensions-hubWrote 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/upstageai/upstage-extensions-hub/upstage-document-classification)<a href="https://agentmods.dev/skills/upstageai/upstage-extensions-hub/upstage-document-classification"><img src="https://agentmods.dev/badge/skills/upstageai/upstage-extensions-hub/upstage-document-classification/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/upstageai/upstage-extensions-hub/upstage-document-classification"><img src="https://agentmods.dev/badge/skills/upstageai/upstage-extensions-hub/upstage-document-classification.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 | $0.00056 | $0.01143 |
| Opus 5 | $0.00028 | $0.00571 |
| Sonnet 5 | $0.00011 | $0.00229 |
| Haiku 4.5 | $0.00006 | $0.00114 |
Grade A, and why
upstage-document-classification scanned grade A with 1 finding 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 9d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| `references/document-split.md` | Document split (basic + with criteria), curl example | How it starts
The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Upstage Document Classification
Classify documents into user-defined categories with confidence scores. Also supports Document Split for separating multi-document PDFs into individual documents.
Quick Start
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["UPSTAGE_API_KEY"],
base_url="https://api.upstage.ai/v1/document-classification"
)
response = client.chat.completions.create(
model="document-classify",
messages=[{
"role": "user",
"content": [{"type": "image_url", "image_url": {"url": "https://example.com/document.pdf"}}]
}],
response_format={
"type": "json_schema",
"json_schema": {
"name": "document-classify",
"schema": {
"type": "string",
"oneOf": [
{"const": "invoice", "description": "Commercial invoice with itemized charges"},
{"const": "receipt", "description": "Payment receipt"},
{"const": "contract", "description": "Legal contract or agreement"},
{"const": "resume", "description": "Personal resume or CV"}
]
}
}
}
)
print(response.choices[0].message.content)
API Key: Always use os.environ["UPSTAGE_API_KEY"]. Get your key at console.upstage.ai.
Endpoint
POST https://api.upstage.ai/v1/document-classification
OpenAI SDK compatible — set base_url to https://api.upstage.ai/v1/document-classification.
Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
model |
string | Yes | document-classify or document-classify-nightly |
messages |
array | Yes | Single user message with image_url |
response_format |
object | Yes | JSON Schema defining classification categories |
split |
boolean | No | Enable multi-document splitting (default: false) |
split_criteria |
array | No | Additional splitting criteria (used with split=true) |
What ships with it
1 file 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.
- 9d ago First seen · 138 lines · 56 tokens per session scan A b83efc2fe93a
upstage-document-classification is a skill published in the GitHub repository UpstageAI/upstage-extensions-hub (10 stars, last pushed 4mo ago), licensed MIT. It adds 56 tokens to every session and 1,143 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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