What is create-data-context?

A workflow for creating and maintaining a shared reference layer that records how data should be interpreted.

Use it to save, inspect, update, or repair a data semantic layer—the documented map of important metrics, dashboards, tables, definitions, and checks.

It helps future analyses use consistent metric definitions, trusted sources, and known caveats instead of rebuilding that context each time.

create-data-context — Skill by XiaomiMiMo

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.

agentmods

npx agentmods add skills/xiaomimimo/mimo-code/create-data-context

Any agent

npx skills add XiaomiMiMo/MiMo-Code --skill create-data-context

Clone the repo

git clone --depth 1 https://github.com/XiaomiMiMo/MiMo-Code

Made for: Claude Code, Codex.

Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,407 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

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.

Model	Per session	Once invoked
Fable 5	$0.00041	$0.01407
Opus 5	$0.00020	$0.00704
Sonnet 5	$0.00008	$0.00281
Haiku 4.5	$0.00004	$0.00141

Measured 2d ago against content hash 6a61f4623041, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

create-data-context 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 2d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/data_analytics_preflight.py, scripts/record_plugin_install_suppression.py, scripts/validate_data_context_contract.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.

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.

packages/opencode/src/skill/builtin/.bundle/data-analytics/workflows/create-data-context/SKILL.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Create Data Context

This skill creates and maintains semantic-layer skills for Data Analytics. A semantic-layer skill is an explicit artifact the user can inspect and cite later. It captures how future analyses should interpret the data, for example which metric definition is canonical, which dashboard or table is the best source of truth, and what caveats should be checked before answering.

Data-task routing is owned by the Data Analytics index skill. If the user wants Data Analytics to do work with data now, route to index, whether the work starts from connected sources, uploaded files, pasted tables, sample data, or an existing semantic layer. Examples include answering a metric question, building a report, or checking a dataset.

Use this skill only when the user asks to save data context or create, update, inspect, or repair a semantic layer.

Runtime Routing

Use the current runtime's classified surface and mode values, plus the capabilities exposed in the run, to choose intake and persistence. Build and validate the same canonical semantic-layer skill package before writing it to any destination.

For intake:

Use structured intake when a supported form action is available.
Use conversational intake for open-ended details and for runtimes without a supported form action.

Choose one persistence destination by default:

Destination branch	Select this branch when	Action
ChatGPT personal Skills	`surface = chatgpt_web` and the run exposes a product-backed personal Skills install surface, such as a native skill draft/upload/install action or an installable skill package preview.	Install the generated skill into the user's personal Skills library. Capture the installed skill link or Skills-library reference returned by the install surface and include it as a Markdown link in the chat response. Verify through the available Skills-library, list, or fresh-thread discovery surface when the runtime exposes one.
Local Codex	The user asks for local persistence, or `surface = codex_desktop`.	Write a filesystem skill to `$CODEX_HOME/skills/<area>-semantic-layer`; if `$CODEX_HOME` is unavailable and the local runtime clearly uses the default home location, use `~/.codex/skills/<area>-semantic-layer`. Validate the written skill and verify it is discoverable in a new local Codex context when possible.
Portable package	The current run has no supported persistent skill destination.	Return a portable skill package or source plan and clearly state that it has not been installed persistently, including the exact persistence blocker.

Read the full file on GitHub · 72 lines

Files

What ships with it

12 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.

2d ago First seen · 72 lines · 41 tokens per session scan A 6a61f4623041

Subscribe to this mod's changes

create-data-context is a skill published in the GitHub repository XiaomiMiMo/MiMo-Code (12,923 stars, last pushed today), licensed MIT. It adds 41 tokens to every session and 1,407 once invoked, about $0.0002 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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