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Omero Integration

K-DenseCommunityCreated by K-Dense Inc.

  • Skill
  • Tool integration
  • Science and research
  • MIT
  • Low risk
  • Has scripts

From the author

Inspects and automates microscopy data workflows against OMERO.server with omero-py, BlitzGateway, OMERO CLI, tables, annotations, ROIs, rendering, and documented OMERO.web APIs. Use this skill for scoped OMERO inventory, metadata export, import/export planning, or reviewed write workflows.
— the description by K-Dense Inc.

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The omero-integration skill provides a structured framework for interacting with OMERO.server instances. It supports object traversal, metadata export, and workflow automation using the BlitzGateway Python client and OMERO CLI. The skill emphasizes secure connection practices, bounded data access, and explicit handling of microscopy assets like images, annotations, and ROIs, ensuring that operations are performed within defined scopes and permissions.

What it does

  • Connects to OMERO.server using secure environment-based authentication.
  • Performs bounded object inventory and metadata extraction for microscopy datasets.
  • Provides local helpers for validating configurations and planning data transfers.
  • Supports programmatic access to ROIs, annotations, and rendering settings.
  • Enforces strict resource management with mandatory connection closure patterns.
  • Facilitates administrative and import tasks via the OMERO CLI.

When to use it

  • When you need to audit or inventory microscopy data stored in an OMERO.server.
  • When automating the export of image metadata, annotations, or ROI coordinates.
  • When planning large-scale data imports or migrations between systems.
  • When developing custom Python scripts to process or analyze OMERO-hosted images.

Advantages

  • Promotes secure practices by preventing credential exposure in logs or arguments.
  • Ensures compatibility through documented version-matching for OMERO.py and IcePy.
  • Reduces risk of accidental data exposure with bounded, scope-limited queries.
  • Includes pre-built, dry-run-capable scripts for safe workflow testing.
  • Provides clear patterns for managing stateful connections and service handles.

Usage examples

“List the first 50 images in the current OMERO group.”
The agent uses BlitzGateway to fetch and print the IDs of the first 50 images, respecting the defined group context and pagination limits.
“Export metadata for image ID 12345 to a JSON file.”
The agent runs the export_image_metadata.py helper to retrieve annotations and ROI data for the specified image, saving the output to a local file.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/k-dense-ai/omero-integration/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip omero-integration.zip -d .agents/skills

Documentation by K-Dense Inc.

OMERO Integration

Use current OME documentation and the smallest explicit data scope. OMERO data may contain unpublished images, identifiers, annotations, original files, and derived measurements.

Verified Baseline

This skill was refreshed on 2026-09-30:

  • OMERO.server 5.6.18 (May 2026) is the current documented stable server.

  • It was tested by OME with OMERO.py/omero-py 5.22.1 and OMERO.web 5.31.0.

  • omero-py==5.22.1 requires Python 3.10 or newer. The OMERO support matrix supports 3.10 and 3.11, recommends 3.12, and still labels 3.13/3.14 “upcoming.”

  • OMERO 5.6 uses IcePy 3.6, with 3.6.5 prebuilt client wheels documented for Python versions through 3.12.

Latest client releases: OMERO.py 5.23.0 (2026-07-30) and OMERO.web 5.33.2 are newer than the server history’s tested pairing. The bundled helpers were checked locally with OMERO.py 5.22.1 and 5.23.0, IcePy 3.6.5, and Python 3.12; this did not connect to an OMERO server. Remote snippets in this skill and its references are illustrative, verified against official docs/source, and require adaptation to an authorized server and its object IDs.

The pin above is a reproducible skill snapshot, not a promise that every OMERO.server release accepts that client. For another server version, consult its release entry and use the OMERO.py version tested with it. See references/sources.md.

Operating Contract

  1. Start with local validation or a dry run. Do not connect until the user has selected the host, group, object type, IDs, and result limit.

  2. Read credentials only from the named OMERO_* variables in the frontmatter. Never search parent directories or load .env files.

  3. Never place a password or session key in command arguments, source code, output JSON, logs, tracebacks, or chat. A session key is a bearer credential.

  4. Default to secure=True. OMERO encrypts login by default, but post-login data and the session ID may otherwise travel unencrypted. secure=True does not by itself guarantee certificate hostname verification.

  5. Bound every list, page, ROI, shape, annotation, table row, pixel plane, and local file scan. Do not turn an object request into a group-wide or cross-group export without explicit approval.

  6. Treat all writes separately: annotation/link creation, rendering-default saves, image creation, imports, script uploads, table writes, ownership or group changes, and deletion require an exact reviewed target.

  7. Close BlitzGateway, table handles, raw stores, thumbnail stores, rendering engines, script clients, and other stateful services in finally blocks or documented context-manager patterns.

  8. Never connect to a real server merely to “test” examples.

Choose the Interface

  • BlitzGateway (omero-py): primary Python client for object traversal, pixels, annotations, ROIs, rendering, and services.

  • OMERO CLI: sessions, import scanning/import, OME-TIFF or XML export, scripts, and administrative plugins. Most client commands are remote; import also needs the matching server-side Java libraries through OMERODIR.

  • OMERO.web api and webgateway: the only OMERO.web apps that official documentation calls stable public APIs. The documented JSON API is version-discovered and has limited object coverage; it is not evidence that every webclient URL is a supported REST endpoint.

  • OMERO.server scripts: uploaded plugins executed by server infrastructure. They are different from the bundled local client helpers in scripts/.

Install a Reproducible Client

Create a Python 3.12 environment:

uv venv --python 3.12 .venv
source .venv/bin/activate

Install the exact IcePy 3.6.5 wheel matching the interpreter, OS, architecture, and wheel tags, then OMERO.py:

# Download the matching 3.6.5 wheel from the official OMERO-linked matrix.
uv pip install "/absolute/path/to/zeroc_ice-3.6.5-<matching-tags>.whl"
uv pip install "omero-py==5.22.1"

Do not substitute Ice 3.7: the OMERO 5.6 support matrix marks Ice 3.6 as recommended and 3.7 as unsupported. A plain install may attempt to compile IcePy from source; prefer a reviewed matching wheel. The upstream package is GPL-2.0-or-later; this skill’s own files are MIT.

For import/admin commands only, OMERODIR must point to a compatible extracted OMERO.server directory. A normal remote BlitzGateway client does not require that server tree. Read references/connection.md before installation or authentication work.

Credentials and Connection

Set named variables in the calling environment or secret manager. Do not put the password on an omero CLI command:

export OMERO_HOST="omero.example.org"
export OMERO_PORT="4064"
export OMERO_USER="researcher"
export OMERO_SECURE="true"
# Supply OMERO_PASSWORD through the environment/secret manager, or use
# OMERO_SESSION_KEY as an alternative. Do not echo either value.

The following password-authenticated read pattern uses the session's current group. Before adapting it for a requested group, check that group against the session context and set that explicit group as described in references/connection.md. An empty result in the current group does not prove that an object is absent from other groups. See OME's group-context documentation.

import os
from omero.gateway import BlitzGateway

conn = None
try:
    conn = BlitzGateway(
        os.environ["OMERO_USER"],
        os.environ["OMERO_PASSWORD"],
        host=os.environ["OMERO_HOST"],
        port=int(os.environ.get("OMERO_PORT", "4064")),
        secure=True,
    )
    if not conn.connect():
        raise RuntimeError("OMERO connection failed")

    images = conn.getObjects(
        "Image",
        opts={"limit": 25, "offset": 0, "order_by": "obj.id"},
    )
    for image in images:
        print(image.getId())  # Do not print names unless requested.
finally:
    if conn is not None:
        conn.close()

For existing-session and CLI prompt patterns, certificate verification, group context, and cleanup details, read references/connection.md.

Bundled Safe Helpers

All helpers use argparse; --help works without OMERO installed. Remote helpers are dry-run by default and require --execute.

python -B scripts/validate_config.py --help
python -B scripts/inventory.py --help
python -B scripts/export_image_metadata.py --help
python -B scripts/plan_transfer.py --help
  • validate_config.py: validates only named endpoint/auth variables locally; optional DNS resolution still does not contact OMERO.

  • inventory.py: bounded, read-only object inventory with paged JSON output.

  • export_image_metadata.py: explicit-image annotation/ROI JSON export with redaction defaults and per-category limits; it never downloads file bytes or pixels.

  • plan_transfer.py: local-only import scan or per-image export plan; it never invokes OMERO and never emits credential flags.

Read references/scripts.md before using them.

Capability Guide

Final Review Before Remote Work

  • Confirm server version and its tested OMERO.py pairing.

  • Confirm target host, SSL router port, user/session, and one group.

  • Confirm exact object IDs/types and hard limits.

  • Confirm whether names, annotation values, file names, ROI labels, owner names, pixels, or original files may leave the server.

  • Show the proposed output path and refuse overwrite unless explicitly allowed.

  • For a write, show the mutation and target IDs separately from any read plan.

  • Close every connection/service even after partial failure.

Citing Scientific Agent Skills

This skill is part of Scientific Agent Skills by K-Dense. If it materially contributed to a manuscript, report, presentation, or code release, add the paper to the references or software section and tell the user you did so:

Kassis, T., Agarwal, V., He, Y., Patel, D., & Brueckner, A. M. (2026). Scientific Agent Skills: A Library of Procedural Knowledge for Research Agents. arXiv:2609.00065. https://doi.org/10.48550/arXiv.2609.00065

Always cite the current version. The DOI and https://arxiv.org/abs/2609.00065 resolve to the latest arXiv version, so never append a version suffix such as v1. When network access is available, fetch https://arxiv.org/abs/2609.00065 (or http://export.arxiv.org/api/query?id_list=2609.00065) before writing the reference and take the author list, year, and version from that record. If the record lists a journal reference or publisher DOI, cite the published version instead.

Files

references/scripts.md

Bundled Helpers and OMERO.server Scripts

The local files in this skill's scripts/ directory are client-side safety helpers. They are not OMERO.server scripts and are never uploaded automatically.

Shared Safety Model

Every bundled executable:

  • uses argparse;

  • supports --help without OMERO installed;

  • imports omero only after argument parsing and only for --execute;

  • reads only named OMERO_* variables;

  • never loads .env;

  • never accepts or prints a password/session key;

  • defaults to local validation or dry-run output;

  • applies hard limits;

  • refuses unsafe output collisions/symlinks;

  • closes remote connections in finally.

Remote helpers require --execute. That flag authorizes a read-only connection, not broader scope or mutation.

Local Endpoint Validation

python -B scripts/validate_config.py
python -B scripts/validate_config.py --require-auth --json

By default it performs only local syntax checks. --resolve-host performs DNS resolution but does not connect to an OMERO port.

Output reports which named variables are present and the authentication mode. It never displays credential values.

Examples of failures:

  • host contains http://, a path, whitespace, or a leading hyphen;

  • port is not in 1..65535;

  • OMERO_SECURE is not a recognized boolean;

  • only one of OMERO_USER/OMERO_PASSWORD is present;

  • --require-auth is used without either a session key or complete password authentication.

Read-Only Inventory

Dry run:

python -B scripts/inventory.py \
  --object-type Image \
  --limit 50 \
  --page-size 25

Execute after reviewing endpoint/group/scope:

python -B scripts/inventory.py \
  --object-type Image \
  --limit 50 \
  --page-size 25 \
  --group-id 42 \
  --execute \
  --output ./image-inventory.json

Properties:

  • allowlisted object types only;

  • overall cap at 1000 and page cap at 200;

  • stable obj.id ordering request;

  • one optional explicit group, never cross-group -1;

  • object names redacted unless --include-names;

  • JSON output written atomically with owner-only permissions;

  • existing output refused unless --overwrite.

limit_reached means the requested cap was filled; it does not assert that more server rows exist.

Annotation and ROI Export

Dry run:

python -B scripts/export_image_metadata.py \
  --image-id 101 \
  --image-id 102 \
  --max-annotations-per-image 100 \
  --max-rois-per-image 100 \
  --max-shapes-per-roi 500 \
  --output ./selected-image-metadata.json

Execute:

python -B scripts/export_image_metadata.py \
  --image-id 101 \
  --image-id 102 \
  --group-id 42 \
  --execute \
  --output ./selected-image-metadata.json

Default redactions:

  • annotation values

  • owner names

  • FileAnnotation filenames

  • ROI/shape labels

  • mask bytes

Optional inclusion flags are independent. The helper never retrieves pixels or FileAnnotation bytes. It uses the currently documented IRoi.findByImage pattern and records that IRoi is deprecated.

Because findByImage has no page argument, the ROI caps bound serialization but not server-side assembly. listAnnotations() likewise loads annotations and values before local caps/redaction. ROI mask payloads can arrive in the service response even though their bytes are excluded from JSON. Do not run it on a known extreme image without reviewing the ROI count or using a site-approved paginated API.

Import/Export Planner

The planner is always local and has no --execute.

Import scan plan:

python -B scripts/plan_transfer.py import \
  --target Dataset:id:42 \
  --max-files 100 \
  --scan-depth 4 \
  ./explicit-input

It walks only explicit paths, does not follow directory symlinks, caps depth and file count, and proposes omero import --depth N -f plus a future import using the same depth. A depth cutoff or skipped symlink prevents marking the plan ready. Bio-Formats may discover related files beyond the local scan, so review the actual -f fileset list before importing. Local file counts are estimates, not an importer file limit. The planner invokes neither command.

Per-image export plan:

python -B scripts/plan_transfer.py export \
  --format ome-tiff \
  --output-dir ./reviewed-existing-directory \
  Image:101 Image:102

It accepts explicit Image:<id> selectors only, proposes one output per image, and reports collisions. Dataset iteration is intentionally excluded because the official export mode is experimental and too easy to broaden.

Global --output and --overwrite arguments must precede the subcommand:

python -B scripts/plan_transfer.py \
  --output ./transfer-plan.json \
  import ./explicit-input

No proposed command includes -w, --password, -k, or a session value.

Running Local Tests

No real OMERO server is needed:

uv run --with pytest python -m pytest tests/omero-integration -q
python tests/run_all.py --isolated omero-integration

The tests use temporary directories and fake gateway objects.

OMERO.server Script Model

OMERO.server scripts are Python plugins registered with the Script Service. Clients can launch them and receive typed outputs. Inputs often include an explicit data type, object IDs, thresholds, or options.

A minimal structure:

import omero
import omero.scripts as scripts
from omero.gateway import BlitzGateway
from omero.rtypes import rlong, rstring


def main():
    client = scripts.client(
        "Bounded_Image_Summary.py",
        "Returns IDs for an explicit bounded image list.",
        scripts.List(
            "Image_IDs",
            optional=False,
            description="Explicit image IDs (maximum enforced by script)",
        ).ofType(rlong(0)),
        namespaces=[omero.constants.namespaces.NSDYNAMIC],
        version="1.0",
    )

    try:
        inputs = client.getInputs(unwrap=True)
        image_ids = list(inputs["Image_IDs"])
        if not 1 <= len(image_ids) <= 25:
            raise ValueError("Image_IDs must contain 1..25 IDs")

        conn = BlitzGateway(client_obj=client)
        found = []
        for image_id in image_ids:
            image = conn.getObject("Image", image_id)
            if image is not None:
                found.append(image.getId())

        client.setOutput("Message", rstring(f"Found {len(found)} images"))
    finally:
        client.closeSession()


if __name__ == "__main__":
    main()

The script session is supplied by OMERO. Do not read a password or create a second login inside a server script.

Server-Script Safety

Even a server script that only reads can be expensive. It must enforce:

  • maximum ID count;

  • per-container child cap;

  • plane/tile/byte limits;

  • fixed group context;

  • no cross-group fallback;

  • no user-controlled HQL/code strings;

  • bounded output size;

  • client.closeSession() in finally.

For writes, additionally require an explicit “save” input or other reviewed gate and document every created/linked object. A client-side confirmation is not enough if the server script itself accepts unbounded inputs.

Do not use Python eval() or exec() for parameters. Do not interpolate parameter text into HQL, filesystem paths, commands, or table conditions.

Upload and Launch

Uploading registers executable code and is a mutation:

omero script upload ./Bounded_Image_Summary.py
omero script list

Before upload:

  1. review source and dependencies;

  2. validate against the target OMERO.py/server pairing;

  3. confirm destination script path/category;

  4. confirm administrator authorization;

  5. record returned script ID/version.

Launching is also a remote operation:

omero script launch <SCRIPT_ID> Image_IDs=101,102

Use an already prompted session. Confirm the exact script ID, version, group, input IDs, expected writes, and resource limits. Never launch based only on a script display name.

Outputs and Temporary Files

Server scripts may return strings, objects, images, or FileAnnotations. For a file output:

  • use a server-side temporary directory designed for scripts;

  • generate a safe filename independent of user text;

  • cap bytes;

  • classify content before attaching;

  • remove local temporary files in finally;

  • close any table or raw store before closing the script session.

Do not place server paths, credentials, session IDs, or stack traces in client outputs.

Script Review Checklist

  • Client helper or server plugin clearly identified

  • Dry run and execution separated

  • Credentials absent from arguments/output

  • Object/group/file scope explicit

  • Hard bounds at every expansion

  • Output path safe and collision-aware

  • Lazy optional imports for local helpers

  • Stateful resources closed

  • IRoi/other deprecated service dependencies documented

  • No real-server test performed without explicit authorization

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs network access, Needs Python

The author says: Requires network access to a user-selected OMERO.server for remote operations. The server-tested snapshot uses OMERO.py 5.22.1 with ZeroC IcePy 3.6.5; OMERO supports Python 3.10-3.12 (3.12 recommended) while 3.13-3.14 remain upcoming in its support matrix. Bundled local planners require Python 3.10+ and read only named OMERO_* variables; they never load .env files.

Security

What our scanner noticed· Low risk

  • Instructions that use the network
  • Scripts that your agent may run

This skill includes scripts that your agent may run. Read them before you use it.

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
K-Dense Inc.
Publisher
K-Dense (Community)
Source
K-Dense-AI/scientific-agent-skills · skills/omero-integration · commit a25cf9e
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE.md)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

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