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extract-entities

extract-entities is a skill for Claude Code, Codex from superlinked/sie. It costs 58 tokens per session (434 once invoked), scanned A, original, Apache-2.0.

A tool for extracting people, organizations, dates, amounts, or other requested labels from a document. It returns the results as a compact table through a connected document-processing service.

In plain words
What is it for?
Use it to extract named entities or custom categories from a document and save the resulting table for later use.
Why use it?
It saves time when you need a list of specific facts from a document without reading the entire file manually. It works with common text and document formats, including PDFs, DOCX files, spreadsheets, and HTML.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 3.4krepo +25 today A scan SkillSpector: pass 58 tokens original Apache-2.0

Good fit Use it to extract named entities or custom categories from a document and save the resulting table for later use.

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Install with agentmods
npx agentmods add skills/superlinked/sie/extract-entities
View source ↗ superlinked/sie superlinked.com
About the project

SIE, or Superlinked Inference Engine, is a self-hosted inference server that runs the language, embedding, retrieval, and other models used by AI agents through one API. It is for teams deploying agent workloads in their own cloud and managing many models in a shared production cluster.

superlinked/sie · 3,414 stars · on GitHub · superlinked.com

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 superlinked/sie --skill extract-entities
Clone the repo
git clone --depth 1 https://github.com/superlinked/sie

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 extract-entities

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/superlinked/sie/extract-entities"><img src="https://agentmods.dev/badge/skills/superlinked/sie/extract-entities.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 434 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original 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 $0.00058 $0.00434
Opus 5.5 $0.00023 $0.00174
Sonnet 5.5 $0.00012 $0.00087
Haiku 4.5 $0.00006 $0.00043

Measured 1mo ago against content hash dca501dfab51, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

extract-entities 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.

packages/sie_mcp/plugin/claude-code/extract-entities/SKILL.md · 44 lines

What it actually says

Extract Entities with Superlinked MCP

Use the connected Superlinked MCP server to run zero-shot entity extraction on the SIE cluster through the MCP extract_entities tool.

Steps

  1. Pick labels from the user's request. Lowercase nouns work best, for example: person, organization, date, amount, contract term.

  2. Do not open, view, attach, or read the whole source document into context.

  3. Call the Superlinked MCP extract_entities tool:

    • Pass labels as a list of label strings.
    • For PDF, scan, image-of-text, DOCX, PPTX, XLSX, or HTML inputs, read raw bytes only, base64-encode them, and pass document_base64 plus filename.
    • For text or markdown inputs, read raw bytes only, base64-encode them, and pass content_base64.
    • Leave engine as auto unless the user explicitly asks to force a conversion engine.

  4. Write the returned markdown_table to processed/<source-stem>.entities.md. Create processed/ if it does not exist.

  5. Your next message must begin with a short receipt:

    Extracted <entity_count> entities from <source> -> processed/<source-stem>.entities.md

    Then present the entity table or the subset the user asked for.

Errors

If the MCP call fails, relay the tool error and do not retry blindly. For auth or connector errors, tell the user to reinstall the generated MCP plugin pack or rerun the generated claude mcp add ... --header 'Authorization: Bearer ...' command from INSTALL.md.

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 · 44 lines · 58 tokens per session scan A dca501dfab51

Subscribe to this mod's changes

extract-entities is a skill published in the GitHub repository superlinked/sie (3,414 stars, last pushed today), licensed Apache-2.0. It adds 58 tokens to every session and 434 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 2026-08-30.

DocumentsLLMdata-pipelinedeep-learningembeddingsinformation-retrievalvector-search
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