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find-data

find-data is a skill for Claude Code from QinghongLin/data2story-skill. It costs 72 tokens per session (3,397 once invoked), scanned A, original, MIT.

A dataset-finding and checking workflow for Data2Story, a pipeline that turns data into a blog. It accepts a topic, URL or category, downloads data and checks whether the files are complete and usable.

In plain words
What is it for?
Use it to find a dataset for a data story or audit a dataset folder you already have. It can search local sources, fetch files and validate CSV, JSON or spreadsheet data.
Why use it?
It prevents the later investigation, analysis and design stages from starting with missing, unreadable or poorly documented data. A folder is only marked ready after it passes four checks.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

Part of the data2story-pro plugin — 25 skills shipped together

not rated 161repo +3 4mo ago A scan SkillSpector: warn 72 tokens original MIT

Good fit Use it to find a dataset for a data story or audit a dataset folder you already have. It can search local sources, fetch files and validate CSV, JSON or spreadsheet data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/qinghonglin/data2story-skill/find-data
View source ↗ QinghongLin/data2story-skill data2story.github.io
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 QinghongLin/data2story-skill --skill find-data
Clone the repo
git clone --depth 1 https://github.com/QinghongLin/data2story-skill

Made for: Claude Code.

Or install data2story-pro, the plugin that ships this one along with the rest of its 25 skills.

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 find-data

README.md
[![agentmods](https://agentmods.dev/badge/skills/qinghonglin/data2story-skill/find-data/github.svg)](https://agentmods.dev/skills/qinghonglin/data2story-skill/find-data)
Your own site
<a href="https://agentmods.dev/skills/qinghonglin/data2story-skill/find-data"><img src="https://agentmods.dev/badge/skills/qinghonglin/data2story-skill/find-data/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 find-data

Your own site · 80×15
<a href="https://agentmods.dev/skills/qinghonglin/data2story-skill/find-data"><img src="https://agentmods.dev/badge/skills/qinghonglin/data2story-skill/find-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,397 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 267
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
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 $0.00072 $0.03397
Opus 5.5 $0.00029 $0.01359
Sonnet 5.5 $0.00014 $0.00679
Haiku 4.5 $0.00007 $0.00340

Measured 2mo ago against content hash dc57e36a9807, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

find-data 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 2mo ago.

The scan reads SKILL.md. This mod also ships 5 executable files (tools/audit.py, tools/browse_local.py, tools/dip_query.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

- **`urllib`** — stdlib, no install (`fetch.py` downloads, `audit.py` HEAD-checks).
skills/find-data/SKILL.md · 289 lines

How it starts

The opening of the file, as written. The whole thing — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.

find-data

Turn an idea, URL, or category into a phase2/datasets/<name>/ folder that the /data2story-pro pipeline can run on without crashing.

You are the gatekeeper before the 7-agent newsroom. Detective, Analyst, Editor, Designer, Programmer, Auditor, Inspector all assume the data is already there, parseable, and provenanced. Your job is to make sure that's true before they start.

Refuse to mark a folder ready until it passes 4 gates. See references/completeness_gates.md for the criteria. The gates are codified in tools/audit.py, not in this prose.

Prerequisites

Python deps for the tools/:

  • pandas — required (audit.py reads/inspects CSV/JSON).
  • openpyxl — required only when a source is .xlsx (audit.py's pd.ExcelFile); a mid-run missing-openpyxl is the usual cause of an XLSX audit error.
  • urllib — stdlib, no install (fetch.py downloads, audit.py HEAD-checks).

One install line:

pip install pandas openpyxl

After editing anything under tools/, run the no-network regression suite: py tools/selftest.py (exit 0 = pass).

Resolve paths first

  • SKILL_DIR = directory containing this SKILL.md
  • WORKSPACE = ancestor that contains phase2/datasets/ (the parent repo root), if one exists
  • DATASETS_ROOT = WORKSPACE/phase2/datasets when WORKSPACE exists; otherwise ./datasets (clone-relative, under the current working dir) — the open-source clone has no phase2/datasets
  • BLOGS_ROOT = WORKSPACE/phase2/blogs when WORKSPACE exists
  • OUT_DIR default = DATASETS_ROOT/<name> (so ./datasets/<name> on an OSS clone). Callers may override with an explicit --out, which always wins.
  • INPUT = first positional argument from $ARGUMENTS
  • Parse flags from $ARGUMENTS: --mode, --source, --out, --validate-only

Never hard-code machine paths. Resolve at runtime by walking up from SKILL_DIR.

Step 0 — Classify the input

Decision tree (the FIRST condition that matches wins):

Read the full file on GitHub · 289 lines

Files

What ships with it

10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2mo ago First seen · 289 lines · 72 tokens per session scan A dc57e36a9807

Subscribe to this mod's changes

find-data is a skill published in the GitHub repository QinghongLin/data2story-skill (161 stars, last pushed 4mo ago), licensed MIT. It adds 72 tokens to every session and 3,397 once invoked, about $0.0003 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 2026-08-30.

Researchagent-skillsdata-journalistsdata-science
Related

find-data compared with skills from other repositories

find-data next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
find-dataQinghongLin/data2story-skillSkill1614mo agoMITA72Claude Code
chdb-sqlchdb-io/chdbSkill2.9k6d agoApache-2.0A214Claude Code, Codex
waxchristopherkarani/WaxSkill8062d agoApache-2.0A76Codex
wax-memory-maintenancechristopherkarani/WaxSkill8062d agoApache-2.0A18Claude Code, Codex
alterlab-timesfmAlterLab-IEU/AlterLab-Academic-SkillsSkill85yesterdayMITA150Claude Code
alterlab-cobrapyAlterLab-IEU/AlterLab-Academic-SkillsSkill85yesterdayMITA91Claude Code
alterlab-molecular-dynamicsAlterLab-IEU/AlterLab-Academic-SkillsSkill85yesterdayMITA98Claude Code