metadata-extractor

metadata-extractor is a command for Claude Code from aborroy/aiup-alfresco. It costs 42 tokens per session (2,030 once invoked), scanned A, original, Apache-2.0.

A generator for Alfresco Content Services metadata extractors, which read values from uploaded files and save them as document properties. It creates the needed Java project pieces for the in-process Platform JAR.

In plain words
What is it for?
Use it to scaffold a metadata extractor or optional embedder, including a properties mapping, Spring registration, and a unit test, from requirements in REQUIREMENTS.md.
Why use it?
It reduces the manual setup needed to connect a custom file format to Alfresco. It also checks whether the standard extraction tools already cover the format.

Command for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the aiup-alfresco plugin — 38 skills, 25 commands, 3 agents, 3 hooks shipped together

Good fit Use it to scaffold a metadata extractor or optional embedder, including a…

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/aborroy/aiup-alfresco/metadata-extractor
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.

Clone the repo
git clone --depth 1 https://github.com/aborroy/aiup-alfresco

Made for: Claude Code.

Or install aiup-alfresco, the plugin that ships this one along with the rest of its 38 skills, 25 commands, 3 agents, 3 hooks.

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 metadata-extractor

README.md
[![agentmods](https://agentmods.dev/badge/commands/aborroy/aiup-alfresco/metadata-extractor.svg)](https://agentmods.dev/commands/aborroy/aiup-alfresco/metadata-extractor)
Your own site
<a href="https://agentmods.dev/commands/aborroy/aiup-alfresco/metadata-extractor"><img src="https://agentmods.dev/badge/commands/aborroy/aiup-alfresco/metadata-extractor.svg" alt="Measured on agentmods" height="20"></a>
Per session 42 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,030 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 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 $0.00042 $0.02030
Opus 5 $0.00021 $0.01015
Sonnet 5 $0.00008 $0.00406
Haiku 4.5 $0.00004 $0.00203

Measured 6d ago against content hash 1529524d9895, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

metadata-extractor 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 6d 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.

commands/metadata-extractor.md · 201 lines

How it starts

The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/metadata-extractor — Metadata Extractor Generator

In-Process SDK only — metadata extractors deploy inside the ACS JVM as part of the Platform JAR. They map values found in a file's content into node properties at upload time — distinct from renditions/transforms (/transforms), which convert content into other content.

Generate a custom metadata extractor (and optional embedder) from requirements.

Input

Read REQUIREMENTS.md to identify metadata extraction requirements:

  1. Resolve the Platform JAR project's Root path from Section 2 (Project Architecture).

    • If Section 2 contains no Platform JAR project, stop and explain that /metadata-extractor only applies to the in-process Platform JAR project.
  2. Read the "Metadata extraction requirements" sub-section (Section 7 Behaviour Requirements or a dedicated section).

    • If none are present, stop and ask the user to run /requirements first (or provide a description as $ARGUMENTS).
    • Check coverage first: ACS routes extraction for common formats (Office, PDF, images, audio/video) through the Transform Service's Tika engine. Only scaffold a custom in-process extractor for a bespoke format or a custom source→property mapping that the standard extractors do not provide.
  3. From Section 2, derive:

    • {platform-project-root}. for Platform JAR only mode; {name}-platform/ for Mixed mode
    • {module-id} — the Platform JAR artifactId (bare artifact ID, e.g. my-extension). Read from <artifactId> in the platform pom.xml or derive as {platform-artifactId} from Section 2. Never use the full module.id property value as the directory name.
    • {java-package} — the Java package declared in Section 2
    • {package-path}{java-package} with dots replaced by slashes (resource path)
    • {prefix} — the namespace prefix declared in Section 5 (Content Model Requirements)
  4. Derive from extraction requirements:

    • {Name} — PascalCase extractor name (e.g. Contract, Invoice)
    • {sourceMimetype} — the MIME type(s) the extractor supports
    • The source→target mapping: each raw key in the file → a content-model property QName (e.g. vendor{prefix}:vendor)

Read the full file on GitHub · 201 lines

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. 6d ago First seen · 201 lines · 42 tokens per session scan A 1529524d9895

Subscribe to this mod's changes

metadata-extractor is a command published in the GitHub repository aborroy/aiup-alfresco (13 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 42 tokens to every session and 2,030 once invoked, about $0.0002 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 2026-08-30.