odp-data-consume

odp-data-consume is a skill for Claude Code, Codex from joevstaas/awesome-claude-skills. It costs 39 tokens per session (6,219 once invoked), scanned A, original, MIT.

A way to read, search, and download datasets from the Ocean Data Platform, a service for storing and sharing ocean data. It supports the platform’s Python library, catalogue API, table queries, file downloads, and rebuilding spatial data.

In plain words
What is it for?
Use it to find datasets, run tabular or spatial queries, download files, and work with results in Python using tools such as pandas and GeoJSON.
Why use it?
It provides a consistent way to retrieve platform data instead of handling authentication, formats, and geographic results manually.

Skill for Claude CodeCodex

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

Good fit Use it to find datasets, run tabular or spatial queries, download files, and work with results in Python using tools such as pandas and GeoJSON.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/joevstaas/awesome-claude-skills/odp-data-consume
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 joevstaas/awesome-claude-skills --skill odp-data-consume
Clone the repo
git clone --depth 1 https://github.com/joevstaas/awesome-claude-skills

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 odp-data-consume

README.md
[![agentmods](https://agentmods.dev/badge/skills/joevstaas/awesome-claude-skills/odp-data-consume/github.svg)](https://agentmods.dev/skills/joevstaas/awesome-claude-skills/odp-data-consume)
Your own site
<a href="https://agentmods.dev/skills/joevstaas/awesome-claude-skills/odp-data-consume"><img src="https://agentmods.dev/badge/skills/joevstaas/awesome-claude-skills/odp-data-consume/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 odp-data-consume

Your own site · 80×15
<a href="https://agentmods.dev/skills/joevstaas/awesome-claude-skills/odp-data-consume"><img src="https://agentmods.dev/badge/skills/joevstaas/awesome-claude-skills/odp-data-consume.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,219 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00039 $0.06219
Opus 5.5 $0.00016 $0.02488
Sonnet 5.5 $0.00008 $0.01244
Haiku 4.5 $0.00004 $0.00622

Measured 4d ago against content hash d1caec5238b5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

odp-data-consume 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 4d 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.

curl -s "https://api.hubocean.earth/api/stac/collections" \
skills/odp-data-consume/SKILL.md · 626 lines

How it starts

The opening of the file, as written. The whole thing — 626 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ODP Data Consume Skill

Use this skill when the user wants to read, query, download, or pull data from the Ocean Data Platform (ODP) by Hub Ocean.

Prerequisites

Python Dependencies

pip install odp-sdk pyarrow shapely pandas python-dotenv h3
Package Purpose
odp-sdk ODP client library (authentication, catalog, dataset operations)
pyarrow Tabular data deserialization
shapely Convert WKT geometry back to GeoJSON
pandas DataFrame handling for tabular query results
h3 Convert H3 cell ids back to boundary polygons from aggregate results

Authentication

What needs a key (verified Oct 2026, odp-sdk 0.28.9)

Access is decided by the dataset's visibility, not its publish_status: public drafts are as open as published ones.

Call Public dataset Private dataset
STAC API No key Not listed
Table data: schema(), stats(), select(), aggregate() No key Key required (401 without)
Catalog record GET /api/catalog/v2/datasets/{id} (provider, licence, timestamps, publish status) Key required (401 without) Key required
Catalog list GET /api/catalog/v2/datasets (every dataset you can see, public and private; ~5,000 records in one response) Key required Key required
Writes / ingest Key required (assumed; not tested) Key required (assumed; not tested)

So a missing key blocks catalog metadata and private data only. It never blocks reading public tables, so don't report those as "blocked".

Anonymous client for public data

With no key, Client() falls back to an interactive browser login (odp/new_client.py, _setup_jwt), which hangs in an agent. To read public tables without a key, skip that step and send an empty Authorization header (None is rejected by requests):

import requests
from odp.client import Client

client = Client.__new__(Client)              # skip __init__ and its browser-login fallback
client.base_url = "https://api.hubocean.earth"
client._http_client = requests.Session()
client._auth = lambda: ""                     # anonymous; public datasets only

ds = client.dataset("public-dataset-uuid")
ds.table.schema(); ds.table.stats()           # and filtered aggregate() — all work without a key

Read the full file on GitHub · 626 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. 4d ago Changed · +37 lines d1caec5238b5
  2. 6d ago Changed · +4 lines c1bc38220813
  3. 1mo ago First seen · 585 lines · 39 tokens per session scan A 3465d4f33295

Subscribe to this mod's changes

odp-data-consume is a skill published in the GitHub repository joevstaas/awesome-claude-skills (6 stars, last pushed 5d ago), licensed MIT. It adds 39 tokens to every session and 6,219 once invoked, about $0.0002 per session on Opus 5.5. 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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