Agent skill

Oraclecloud Data Handling

by Kilo-Org in Kilo-Org/kilo-marketplace

Manage OCI Object Storage — buckets, uploads, PARs, and lifecycle policies.

MITAuto-check passedBackend & APIs

Install Oraclecloud Data Handling

skills CLI
$ npx skills add Kilo-Org/kilo-marketplace --skill oraclecloud-data-handling -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Kilo-Org/kilo-marketplace oraclecloud-data-handling --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Kilo-Org/kilo-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/oraclecloud-data-handling .claude/skills/oraclecloud-data-handling && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
oraclecloud-data-handling
GitHub stars
189
Token cost
~2.4k tokens
SKILL.md length
452 words
Files
4 (incl. references)
Skills in repo
87
Repo updated
First seen
Licence
MIT

At a glance

Manage OCI Object Storage — buckets, uploads, PARs, and lifecycle policies.

  • Works in 5 steps: Discover Namespace and Create a Bucket → Upload Objects (Simple and Multipart) → Download and List Objects → …
  • Uploading objects
  • SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 4 more sections
  • Calls pip

What it does

Oraclecloud Data Handling is an agent skill from Kilo-Org/kilo-marketplace. Manage OCI Object Storage — buckets, uploads, PARs, and lifecycle policies. Use when uploading objects, creating pre-authenticated requests, or configuring lifecycle rules. Trigger with "oci object storage", "oci bucket", "par url", "multipart upload", "oci lifecycle".

Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/one-pager.md`). Compatibility notes: Agent clients with shell and file-editing tools

It sits in Backend & APIs, covering File uploads and storage. It works with Python. The repository describes itself as: Kilo Marketplace - A curated collection of Skills, MCP Servers, and Modes for enhancing AI agent capabilities across the Kilo ecosystem—including Kilo Code (VS Code extension)… The licence is MIT.

When your agent uses it

  • Uploading objects
  • Creating pre-authenticated requests
  • Configuring lifecycle rules
  • With oci object storage

Example prompts

  • “oci object storage”
  • “oci bucket”
  • “par url”
  • “/oraclecloud-data-handling”

Requirements

  • Python 3
  • Compatibility (from SKILL.md): Agent clients with shell and file-editing tools
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(pip:*), Grep

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Discover Namespace and Create a Bucket
  2. Upload Objects (Simple and Multipart)
  3. Download and List Objects
  4. Create Pre-Authenticated Requests (PARs) Safely
  5. Configure Lifecycle Policies

What it can do on your machine

Read from SKILL.md and the folder at commit ff51758. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Bash(pip:*)
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • docs.oracle.com
    • oracle.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Agent clients with shell and file-editing tools

    From compatibility in the SKILL.md frontmatter.

Context cost

Oraclecloud Data Handling loads about 2.4k tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 74 tokens; SKILL.md has 452 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~74
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Kilo-Org/kilo-marketplace at commit ff51758, republished under its MIT licence (© Kilo-Org). 452 words, ~2,354 tokens.

Download SKILL.mdSave it as .claude/skills/oraclecloud-data-handling/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
oraclecloud-data-handling
description
Manage OCI Object Storage — buckets, uploads, PARs, and lifecycle policies. Use when uploading objects, creating pre-authenticated requests, or configuring lifecycle rules. Trigger with "oci object storage", "oci bucket", "par url", "multipart upload", "oci lifecycle".
allowed-tools
Read, Write, Edit, Bash(pip:*), Grep
compatibility
Agent clients with shell and file-editing tools
metadata.category
data

OCI Object Storage — Buckets, PARs & Lifecycle

Overview

Manage OCI Object Storage using the Python SDK. Object Storage is OCI's S3 equivalent, but PAR (Pre-Authenticated Request) URLs expire silently with no error — the URL just returns 404. Multipart uploads over 50GB require manual part management. Lifecycle policies can delete data unexpectedly if misconfigured. This skill covers the safe patterns for all of these operations.

Purpose: Upload, download, and share objects safely with proper PAR expiry management and lifecycle policy configuration.

Prerequisites

  • OCI Python SDK — pip install oci
  • Config file at ~/.oci/config with fields: user, fingerprint, tenancy, region, key_file
  • IAM policy — Allow group Developers to manage objects in compartment <name>
  • Python 3.8+

Instructions

Step 1: Discover Namespace and Create a Bucket

Every OCI tenancy has a unique Object Storage namespace. You must discover it before any operation.

python
import oci
from datetime import datetime, timedelta

config = oci.config.from_file("~/.oci/config")
storage = oci.object_storage.ObjectStorageClient(config)

# Namespace is tenancy-specific — discover it, never hardcode
namespace = storage.get_namespace().data
print(f"Namespace: {namespace}")

# Create bucket
bucket = storage.create_bucket(
    namespace_name=namespace,
    create_bucket_details=oci.object_storage.models.CreateBucketDetails(
        compartment_id=config["tenancy"],
        name="app-data-bucket",
        storage_tier="Standard",
        public_access_type="NoPublicAccess",
        versioning="Enabled",  # Protect against accidental deletes
    ),
).data
print(f"Bucket created: {bucket.name}")
Step 2: Upload Objects (Simple and Multipart)

Use simple upload for files under 50MB. For larger files, use the UploadManager which handles multipart automatically.

python
# Simple upload (< 50MB)
with open("report.csv", "rb") as f:
    storage.put_object(
        namespace_name=namespace,
        bucket_name="app-data-bucket",
        object_name="reports/2026/report.csv",
        put_object_body=f,
        content_type="text/csv",
    )
print("Simple upload complete")

# Multipart upload for large files (UploadManager handles chunking)
from oci.object_storage import UploadManager

upload_manager = UploadManager(storage)
response = upload_manager.upload_file(
    namespace_name=namespace,
    bucket_name="app-data-bucket",
    object_name="backups/large-dump.tar.gz",
    file_path="/tmp/large-dump.tar.gz",
    part_size=64 * 1024 * 1024,  # 64MB parts
    allow_multipart_uploads=True,
)
print(f"Multipart upload complete: {response.status}")
Step 3: Download and List Objects
python
# List objects with prefix
objects = storage.list_objects(
    namespace_name=namespace,
    bucket_name="app-data-bucket",
    prefix="reports/",
).data

for obj in objects.objects:
    print(f"{obj.name} | {obj.size} bytes | {obj.time_modified}")

# Download an object
response = storage.get_object(
    namespace_name=namespace,
    bucket_name="app-data-bucket",
    object_name="reports/2026/report.csv",
)
with open("downloaded-report.csv", "wb") as f:
    for chunk in response.data.raw.stream(1024 * 1024):
        f.write(chunk)
print("Download complete")
Step 4: Create Pre-Authenticated Requests (PARs) Safely

PARs are OCI's signed URLs. Critical gotcha: expired PARs return 404 NotFound, not 401 or 403. Callers assume the object was deleted when it is actually just the PAR that expired.

python
# Create a PAR with explicit expiry
par = storage.create_preauthenticated_request(
    namespace_name=namespace,
    bucket_name="app-data-bucket",
    create_preauthenticated_request_details=oci.object_storage.models.CreatePreauthenticatedRequestDetails(
        name="partner-download-2026q1",
        access_type="ObjectRead",
        object_name="reports/2026/report.csv",
        time_expires=datetime.utcnow() + timedelta(hours=24),
    ),
).data

par_url = f"https://objectstorage.{config['region']}.oraclecloud.com{par.access_uri}"
print(f"PAR URL (expires in 24h): {par_url}")
print(f"PAR ID (save for revocation): {par.id}")

# List active PARs to audit expiry
pars = storage.list_preauthenticated_requests(
    namespace_name=namespace,
    bucket_name="app-data-bucket",
).data

for p in pars:
    remaining = p.time_expires - datetime.utcnow()
    print(f"{p.name} | expires: {p.time_expires} | remaining: {remaining}")

# Revoke a PAR before expiry
storage.delete_preauthenticated_request(
    namespace_name=namespace,
    bucket_name="app-data-bucket",
    par_id=par.id,
)
print("PAR revoked")
Step 5: Configure Lifecycle Policies

Lifecycle rules can auto-archive or delete objects. Warning: A rule with time_amount=30 and action=DELETE will permanently delete objects after 30 days with no recovery unless versioning is enabled.

python
storage.put_object_lifecycle_policy(
    namespace_name=namespace,
    bucket_name="app-data-bucket",
    put_object_lifecycle_policy_details=oci.object_storage.models.PutObjectLifecyclePolicyDetails(
        items=[
            oci.object_storage.models.ObjectLifecycleRule(
                name="archive-old-reports",
                action="ARCHIVE",
                time_amount=90,
                time_unit="DAYS",
                is_enabled=True,
                object_name_filter=oci.object_storage.models.ObjectNameFilter(
                    inclusion_prefixes=["reports/"],
                ),
            ),
            oci.object_storage.models.ObjectLifecycleRule(
                name="delete-temp-files",
                action="DELETE",
                time_amount=7,
                time_unit="DAYS",
                is_enabled=True,
                object_name_filter=oci.object_storage.models.ObjectNameFilter(
                    inclusion_prefixes=["tmp/"],
                ),
            ),
        ]
    ),
)
print("Lifecycle policies applied")

Output

Successful completion produces:

  • A versioned Object Storage bucket with no public access
  • Simple upload for small files and UploadManager for large files (automatic multipart)
  • PAR URLs with explicit expiry and audit/revocation workflow
  • Lifecycle policies that archive old data and clean up temp files
Show full SKILL.md (172 more words)Show less

Error Handling

ErrorCodeCauseSolution
Bucket not found404 NotAuthorizedOrNotFoundWrong namespace, bucket name, or IAMVerify namespace with get_namespace(), check IAM policy
PAR returns 404404PAR expired (not the object)List PARs to check expiry; create a new PAR
Object too large400 InvalidParameterSimple upload > 50MBUse UploadManager with allow_multipart_uploads=True
Not authenticated401 NotAuthenticatedBad API key or configVerify ~/.oci/config key_file and fingerprint
Rate limited429 TooManyRequestsToo many API callsAdd backoff; OCI does not return Retry-After header
SSL errorN/A CERTIFICATE_VERIFY_FAILEDCorporate proxy or cert issueSet SSL_CERT_FILE env var or configure SDK cert bundle

Examples

Quick bucket list via CLI:

bash
oci os bucket list \
  --compartment-id <OCID> \
  --query "data[*].{Name:name,Versioning:versioning}" \
  --output table

Check all active PARs across buckets:

python
buckets = storage.list_buckets(
    namespace_name=namespace,
    compartment_id=config["tenancy"],
).data

for b in buckets:
    pars = storage.list_preauthenticated_requests(
        namespace_name=namespace,
        bucket_name=b.name,
    ).data
    if pars:
        print(f"\n{b.name}:")
        for p in pars:
            print(f"  {p.name} | expires: {p.time_expires}")

Resources

Next Steps

After setting up Object Storage, see oraclecloud-query-transform to monitor storage metrics via MQL, or oraclecloud-schema-migration if you need to export database data into Object Storage buckets.

© Kilo-Org, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in skills/oraclecloud-data-handling of Kilo-Org/kilo-marketplace.

  • SKILL.md
  • LICENSE
  • local.patch
  • references/one-pager.md

Open the folder on GitHubat commit ff51758

Compare with similar skills

Oraclecloud Data Handling next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Oraclecloud Data Handling compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Oraclecloud Data Handling this skillKilo-Org/kilo-marketplace189—~2.4kAutomated safety check: PassMIT
PhidownESA-PhiLab/phidown105—~1kAutomated safety check: PassApache-2.0
Fullstack DevHHU3637kr/skills1453 repos~8.6kAutomated safety check: NotesMIT
Canvas Lms APIaspi6246/Claude-Code-Skills-for-Academics157—~3.7kAutomated safety check: PassNone
Google Cloud Storage Bucket Architectgoogle/skills21k—~2.6kAutomated safety check: PassApache-2.0
Azure Storage Blob Pymicrosoft/skills3.1k—~2.3kAutomated safety check: PassMIT

Similar skills

  • Phidown

    ESA-PhiLab/phidown

    Search, filter, download, and analyze Copernicus Data Space products with the phidown project.

    105 GitHub stars~1k tokensUpdated 1 mo ago
    Backend & APIsAuto-check passed
  • Fullstack Dev

    HHU3637kr/skills

    Full-stack backend architecture and frontend-backend integration guide.

    145 GitHub starsUsed in 3 repos~8.6k tokens
    Backend & APIsAuto-check: notes
  • Canvas Lms API

    aspi6246/Claude-Code-Skills-for-Academics

    A skill your agent uses whenever working with the Canvas LMS REST API — including creating or updating modules, pages, and files for a course, building sync scripts, managing course structure…

    157 GitHub stars~3.7k tokensUpdated 1 mo ago
    Backend & APIsAuto-check passed
  • Creates Cloud Storage on Google Cloud (also known colloquially as GCS) buckets.

    21k GitHub stars~2.6k tokensUpdated today
    Backend & APIsAuto-check passed
  • Azure Storage Blob Py

    microsoft/skills

    Official

    Azure Blob Storage SDK for Python. An agent skill from microsoft/skills.

    3.1k GitHub stars~2.3k tokensUpdated today
    Backend & APIsAuto-check passed
  • Python SDK

    aiskillstore/marketplace

    Python SDK for inference.sh - run AI apps, build agents, and integrate with 150+ models.

    430 GitHub starsUsed in 1 repo~2.8k tokens
    Backend & APIsAuto-check passed

More from Kilo-Org/kilo-marketplace

All 87 skills in this repo
  • AzureML Project Scaffolding

    Kilo-Org/kilo-marketplace

    Sets up and maintains AzureML-ready Python projects as uv workspaces with devcontainers, a Makefile and job YAML, so local runs match cloud jobs and experiments stay reproducible.

    189 GitHub stars~3.1k tokensUpdated 8 days ago
    Auto-check: notes
  • Jupyter Notebook Builder

    Kilo-Org/kilo-marketplace

    Creates, inspects, edits and runs Jupyter notebooks, scaffolding experiment or tutorial notebooks from templates and preferring a Jupyter MCP server over raw JSON edits.

    189 GitHub stars~1.3k tokensUpdated 8 days ago
    Auto-check passed
  • Tableau Dashboard Creator

    Kilo-Org/kilo-marketplace

    Takes a plain-language dashboard request through brand setup, data exploration, planning, an interactive HTML mock and a Tableau implementation spec.

    189 GitHub stars~3.8k tokensUpdated 8 days ago
    Auto-check: notes
  • Elasticsearch File Ingest

    Kilo-Org/kilo-marketplace

    Ingest and transform data files (CSV/JSON/Parquet/Arrow IPC) into Elasticsearch with stream processing and custom transforms.

    189 GitHub stars~2.8k tokensUpdated 8 days ago
    Auto-check passed
  • Nifi Flow Layout

    Kilo-Org/kilo-marketplace

    A skill your agent uses when arranging Apache NiFi processors, process groups, ports, comments, numbering, crossing connections, dense fan-in/fan-out, or reusable readable canvas layouts.

    189 GitHub stars~1.5k tokensUpdated 8 days ago
    Auto-check passed
  • Splunk Ingest Processor Setup

    Kilo-Org/kilo-marketplace

    Render Cisco Data Fabric ingest-time routing workflows and Splunk Cloud Platform Ingest Processor setup plans with SPL2 pipelines, source types, destinations, lifecycle handoffs, queue and…

    189 GitHub stars~1.2k tokensUpdated 8 days ago
    Auto-check passed

Works with

Categories

Questions about Oraclecloud Data Handling

What does Oraclecloud Data Handling do?

Manage OCI Object Storage — buckets, uploads, PARs, and lifecycle policies. Oraclecloud Data Handling is an agent skill from Kilo-Org/kilo-marketplace. Manage OCI Object Storage — buckets, uploads, PARs, and lifecycle policies.

When should I use Oraclecloud Data Handling?

Oraclecloud Data Handling fits situations like: uploading objects; creating pre-authenticated requests; configuring lifecycle rules; with oci object storage.

How do I install Oraclecloud Data Handling in Claude Code?

Run `npx skills add Kilo-Org/kilo-marketplace --skill oraclecloud-data-handling -a claude-code`. Or copy the skill folder (skills/oraclecloud-data-handling in Kilo-Org/kilo-marketplace) into .claude/skills/oraclecloud-data-handling in your project. Claude Code loads it when a task matches its description.

How do I install Oraclecloud Data Handling in Codex?

Run `npx skills add Kilo-Org/kilo-marketplace --skill oraclecloud-data-handling -a codex`. Or copy the skill folder (skills/oraclecloud-data-handling in Kilo-Org/kilo-marketplace) into .agents/skills/oraclecloud-data-handling in your project. Codex loads it when a task matches its description.

Can I use Oraclecloud Data Handling in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Kilo-Org/kilo-marketplace --skill oraclecloud-data-handling -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/oraclecloud-data-handling, .gemini/skills/oraclecloud-data-handling, .github/skills/oraclecloud-data-handling and .opencode/skills/oraclecloud-data-handling in your project.

What does Oraclecloud Data Handling need to run?

Going by SKILL.md and its folder, Oraclecloud Data Handling needs the command-line tools its instructions call (pip). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(pip:*), Grep. Compatibility (from SKILL.md): Agent clients with shell and file-editing tools.

Does Oraclecloud Data Handling access the network?

SKILL.md names 2 domains. As links in the text: docs.oracle.com and oracle.com. This is read from the text; nothing was executed.

Is Oraclecloud Data Handling safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Oraclecloud Data Handling use?

Oraclecloud Data Handling is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Oraclecloud Data Handling use?

About 2.4k tokens (SKILL.md is roughly 9.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 372 tokens, read only when the agent opens those files.

What are the alternatives to Oraclecloud Data Handling?

Skills that share tags, products or a category with Oraclecloud Data Handling: Phidown (ESA-PhiLab/phidown, 105 stars), Fullstack Dev (HHU3637kr/skills, 145 stars), Canvas Lms API (aspi6246/Claude-Code-Skills-for-Academics, 157 stars) and Google Cloud Storage Bucket Architect (google/skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Oraclecloud Data Handling?

Kilo-Org (a GitHub organization) maintains it in Kilo-Org/kilo-marketplace, which has 189 GitHub stars. The repository holds 87 skills in this directory. The repository was last updated on September 28, 2026.

Source: Kilo-Org/kilo-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.