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.
npx skills add HybridAIOne/hybridclaw --skill dataliongit clone --depth 1 https://github.com/HybridAIOne/hybridclawWrote 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.
[](https://agentmods.dev/skills/hybridaione/hybridclaw/datalion)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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
- Verify the
datalionMCP server is enabled and inspect whichdatalion__*tools are actually available in the current session. - Use MCP first for supported actions.
- 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.
- 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_TOKENinside MCP server configenv, never in tracked files or chat. - Use the MCP server name
datalionso tools appear asdatalion__.... - For
hybridclaw gateway mcp add ..., pass the JSON config as one quoted shell argument. Inzsh, 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_projectsanddatalion__read_projectbefore writes when the exact target project is not already pinned down. - Treat
datalion__upload_dataas a data-import tool, not a generic project-update tool. - Treat
datalion__edit_projectas adefsettingsmerge tool. It updates only the keys you pass and keeps the existing settings for all other keys. - Use
datalion__list_data_sourcesto inspect what is already loaded into a project before uploading or troubleshooting data. - Prefer
datalion__import_excel_datawhen the source is an.xlsxworkbook or when you want Datalion's full import pipeline, including optional codebook generation during import. - Use
datalion__list_codebookwhen the user needs a question-level inventory; usedatalion__download_codebookfor the tree structure. - For workbook imports, prefer an absolute
localPathso 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, confirmprojectId, file path or base64 file content, filename if you are not usinglocalPath, whether you want the default main data source (useDefaultDataSource=true) or a named data source, and whetherreplaceData,runCalculations,convertComma,skipLines,comment, andcreateCodebookshould be enabled. - For project settings edits, confirm the target
projectIdand the exactdefsettingskeys 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 expectscolumnMappingas 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.
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.
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.
- 13d ago First seen · 262 lines · 65 tokens per session scan A fff7f3ab39ef
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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