datalion

datalion is a skill for Claude Code from HybridAIOne/hybridclaw. It costs 65 tokens per session (2,711 once invoked), scanned A, original, MIT.

A connection for working with DataLion, a data-analysis and reporting platform. It handles projects, imported data, codebooks, charts, report pages, dashboards, and exports.

In plain words
What is it for?
Use it to read or edit projects, import Excel or CSV files, inspect data definitions, read chart tables, manage report pages, and coordinate dashboard or export work.
Why use it?
It provides a structured way to inspect and manage research data and reports while checking available tools and confirming changes before writing them.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Good fit Use it to read or edit projects, import Excel or CSV files, inspect data definitions, read chart tables, manage report pages, and coordinate dashboard or export work.

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Install with agentmods
npx agentmods add skills/hybridaione/hybridclaw/datalion
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 HybridAIOne/hybridclaw --skill datalion
Clone the repo
git clone --depth 1 https://github.com/HybridAIOne/hybridclaw

Made for: Claude Code.

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 datalion

README.md
[![agentmods](https://agentmods.dev/badge/skills/hybridaione/hybridclaw/datalion/github.svg)](https://agentmods.dev/skills/hybridaione/hybridclaw/datalion)
Your own site
<a href="https://agentmods.dev/skills/hybridaione/hybridclaw/datalion"><img src="https://agentmods.dev/badge/skills/hybridaione/hybridclaw/datalion/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 datalion

Your own site · 80×15
<a href="https://agentmods.dev/skills/hybridaione/hybridclaw/datalion"><img src="https://agentmods.dev/badge/skills/hybridaione/hybridclaw/datalion.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,711 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
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 $0.00065 $0.02711
Opus 5 $0.00032 $0.01355
Sonnet 5 $0.00013 $0.00542
Haiku 4.5 $0.00006 $0.00271

Measured 13d ago against content hash fff7f3ab39ef, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

datalion scanned grade A with 0 findings 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 13d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

community-skills/datalion/SKILL.md · 262 lines

How it starts

The opening of the file, as written. The whole thing — 262 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DataLion

Use this skill for DataLion project, project-settings, data-import, codebook, chart-table, report, report-tab, dashboard, and export workflows.

In DataLion, "tab" and "dashboard" are used interchangeably for the report subpages managed under a report.

Default Strategy

  1. Verify the datalion MCP server is enabled and inspect which datalion__* tools are actually available in the current session.
  2. Use MCP first for supported actions.
  3. Do not invent Datalion MCP tools. If a matching tool is missing, switch to a REST or browser/UI path from references/setup-and-capabilities.md.
  4. Read first, write second. Restate the exact target object and proposed mutation before calling a write path.

Setup

  • Run HybridClaw in host sandbox mode for this local Node-based MCP server.
  • Install the bridge dependencies before first use: npm --prefix <path-to-your-datalion-repo>/mcp install
  • Keep DATALION_API_TOKEN inside MCP server config env, never in tracked files or chat.
  • Use the MCP server name datalion so tools appear as datalion__....
  • For hybridclaw gateway mcp add ..., pass the JSON config as one quoted shell argument. In zsh, unquoted {...} and [...] will be expanded before HybridClaw sees them.
  • See references/setup-and-capabilities.md for ready-to-paste CLI and TUI examples, dependency notes, and ability requirements.

Working Rules

  • Always state whether you are using MCP, REST API, or browser/UI automation.
  • Resolve the exact project, report, dashboard, export, or chart before mutating anything.
  • The current bridge directly supports project listing, project reads, project creation, project settings updates, data source listing, CSV upload, full Excel/CSV import, report list/create and tab CRUD, chart-table reads, and codebook list, download, generation, deletion, and upload.
  • The bridge also exposes 4 browser URL helpers for project/report/dashboard opening and widget insertion.
  • The current bridge tool surface has 22 tools total: 18 backend MCP actions and 4 browser URL helpers.
  • Prefer datalion__list_projects and datalion__read_project before writes when the exact target project is not already pinned down.
  • Treat datalion__upload_data as a data-import tool, not a generic project-update tool.
  • Treat datalion__edit_project as a defsettings merge tool. It updates only the keys you pass and keeps the existing settings for all other keys.
  • Use datalion__list_data_sources to inspect what is already loaded into a project before uploading or troubleshooting data.
  • Prefer datalion__import_excel_data when the source is an .xlsx workbook or when you want Datalion's full import pipeline, including optional codebook generation during import.
  • Use datalion__list_codebook when the user needs a question-level inventory; use datalion__download_codebook for the tree structure.
  • For workbook imports, prefer an absolute localPath so the bridge can read the file directly.
  • For uploads, confirm filename, header and delimiter assumptions, data source name if relevant, and whether existing rows should be truncated.
  • For import_excel_data, confirm projectId, file path or base64 file content, filename if you are not using localPath, whether you want the default main data source (useDefaultDataSource=true) or a named data source, and whether replaceData, runCalculations, convertComma, skipLines, comment, and createCodebook should be enabled.
  • For project settings edits, confirm the target projectId and the exact defsettings keys and values before calling.
  • For chart-table reads, confirm projectId, chartId, and any filter string before calling.
  • For codebook uploads, confirm projectId, CSV filename, import mode, and whether any explicit column mapping is needed. The current backend expects columnMapping as an array aligned to the CSV header order.
  • For reports, prefer direct MCP coverage first.
  • For dashboard and export tasks without direct MCP coverage, inspect the local Datalion repo and its OpenAPI or route definitions before choosing a fallback path.
  • Keep tokens, auth headers, and exported files out of logs unless the user explicitly asks for them.

Read the full file on GitHub · 262 lines

Files

What ships with it

1 file 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. 13d ago First seen · 262 lines · 65 tokens per session scan A fff7f3ab39ef

Subscribe to this mod's changes

datalion is a skill published in the GitHub repository HybridAIOne/hybridclaw (132 stars, last pushed yesterday), licensed MIT. It adds 65 tokens to every session and 2,711 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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