Agent skill

Release Datasets

by opensanctions in opensanctions/opensanctions

Release one or more datasets by adding them to a topical collection, bumping coverage.start, and verifying.

MITAuto-check passedData & Analytics

Install Release Datasets

skills CLI
$ npx skills add opensanctions/opensanctions --skill release-datasets -a claude-code

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

GitHub CLI
$ gh skill install opensanctions/opensanctions release-datasets --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/opensanctions/opensanctions.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/release-datasets .claude/skills/release-datasets && 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
release-datasets
GitHub stars
832
Token cost
~566 tokens
SKILL.md length
244 words
Files
1
Skills in repo
11
Repo updated
First seen
Licence
MIT

At a glance

Release one or more datasets by adding them to a topical collection, bumping coverage.start, and verifying.

  • Works in 2 steps: Only release the datasets the user… → Determine the target collection for each…
  • The user wants to release/publish specific crawled datasets into the OpenSanctions product
  • SKILL.md covers Before following the doc, When editing and Commit
  • Calls python

What it does

Release Datasets is an agent skill from opensanctions/opensanctions. Release one or more datasets by adding them to a topical collection, bumping coverage.start, and verifying. Use when the user wants to release/publish specific crawled datasets into the OpenSanctions product.

Its SKILL.md is about 570 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Data & Analytics. The repository describes itself as: An open database of international sanctions data, persons of interest and politically exposed persons. The licence is MIT.

When your agent uses it

  • The user wants to release/publish specific crawled datasets into the OpenSanctions product

Example prompts

  • “/release-datasets”

Requirements

  • Python 3

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. Only release the datasets the user explicitly lists. Never release every
  2. Determine the target collection for each dataset.

What it can do on your machine

Read from SKILL.md and the folder at commit ce59ef9. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python

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

  • Network

    No URLs in SKILL.md.

    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.

Context cost

Release Datasets loads about 566 tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 244 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~56
When it runs · the whole SKILL.md, loaded when a task matches
~566

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 opensanctions/opensanctions at commit ce59ef9, republished under its MIT licence (© opensanctions). 244 words, ~566 tokens.

Download SKILL.mdSave it as .claude/skills/release-datasets/SKILL.md (or your agent's skills folder).
name
release-datasets
description
Release one or more datasets by adding them to a topical collection, bumping coverage.start, and verifying. Use when the user wants to release/publish specific crawled datasets into the OpenSanctions product.

Release Datasets

Release the datasets the user names into the OpenSanctions product. The datasets to release: $ARGUMENTS

The full release process — how collections work, choosing a collection, the edit steps, and verification — is documented in zavod/docs/best_practices/release.md. Read that doc and follow it. This skill only covers how to drive it.

Before following the doc

  1. Only release the datasets the user explicitly lists. Never release every unreleased dataset in the pipeline — most are work in progress or test scratch and are unreleased on purpose. If the user gave no list, ask which datasets they want to release before doing anything.

  2. Determine the target collection for each dataset.

    • If the user specified one, use it.
    • If not, suggest one from the dataset's topic — inspect its .yml tags: (e.g. list.pep), summary/description, and the entities it emits, then match against the collection table in release.md. Confirm the suggestion with the user before editing; don't guess silently.

When editing

  • Follow the steps in release.md: add the dataset to the collection's children: (alphabetically sorted), bump coverage.start to today, and verify with python contrib/check_hierarchy.py datasets.
  • Preserve each dataset file's existing date quoting style when bumping coverage.start (some files quote the date, some don't).
  • After editing a collection, sanity-check it stays sorted and dupe-free:
    python -c "import yaml; c=yaml.safe_load(open('datasets/_collections/<collection>.yml'))['children']; assert c==sorted(c) and len(c)==len(set(c)); print('ok', len(c))"

Commit

Group the collection edit and the coverage bumps together. Use the house [dataset_name] commit-title prefix (one dataset → [xx_foo] Release into peps; several → describe the batch). Do not push during an in-flight session without explicit confirmation.

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

Files

Just SKILL.md in .claude/skills/release-datasets of opensanctions/opensanctions.

Open the folder on GitHubat commit ce59ef9

Compare with similar skills

Release Datasets 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.

Release Datasets compared with similar skills
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Release Datasets this skillopensanctions/opensanctions832—~566Automated safety check: PassMIT
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Chart Visualizationbytedance/deer-flow83k2 repos~840Automated safety check: PassMIT
TimesFM Forecastinggoogle-research/timesfm34k—~4.7kAutomated safety check: PassApache-2.0

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Questions about Release Datasets

What does Release Datasets do?

Release one or more datasets by adding them to a topical collection, bumping coverage.start, and verifying. Release Datasets is an agent skill from opensanctions/opensanctions.start, and verifying.

When should I use Release Datasets?

Release Datasets fits situations like: the user wants to release/publish specific crawled datasets into the OpenSanctions product.

How do I install Release Datasets in Claude Code?

Run `npx skills add opensanctions/opensanctions --skill release-datasets -a claude-code`. Or copy the skill folder (.claude/skills/release-datasets in opensanctions/opensanctions) into .claude/skills/release-datasets in your project. Claude Code loads it when a task matches its description.

How do I install Release Datasets in Codex?

Run `npx skills add opensanctions/opensanctions --skill release-datasets -a codex`. Or copy the skill folder (.claude/skills/release-datasets in opensanctions/opensanctions) into .agents/skills/release-datasets in your project. Codex loads it when a task matches its description.

Can I use Release Datasets 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 opensanctions/opensanctions --skill release-datasets -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/release-datasets, .gemini/skills/release-datasets, .github/skills/release-datasets and .opencode/skills/release-datasets in your project.

What does Release Datasets need to run?

Going by SKILL.md and its folder, Release Datasets needs the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Release Datasets access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Release Datasets 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 Release Datasets use?

Release Datasets is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Release Datasets use?

About 566 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Release Datasets?

Skills that share tags, products or a category with Release Datasets: Exploratory Data Analysis (spacering-net/codeg, 3.8k stars), Matplotlib (zLanqing/codex-claude-academic-skills, 4.6k stars), Scikit Learn (zLanqing/codex-claude-academic-skills, 4.6k stars) and Chart Visualization (bytedance/deer-flow, 83k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Release Datasets?

opensanctions (a GitHub organization) maintains it in opensanctions/opensanctions, which has 832 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 8, 2026.

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