Apache Superset is a web application for exploring data, querying databases, and creating charts and dashboards. Analysts, business users, administrators, and developers use it for business intelligence and data visualization. The catalogue add-ons support workflows for operating, extending, or working with Superset.
Borrowing it
Nothing to install: this file belongs to apache/superset. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/apache/superset/master/AGENTS.mdgit clone --depth 1 https://github.com/apache/supersetWrote 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/instructions/apache/superset/agents-md)<a href="https://agentmods.dev/instructions/apache/superset/agents-md"><img src="https://agentmods.dev/badge/instructions/apache/superset/agents-md/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/instructions/apache/superset/agents-md"><img src="https://agentmods.dev/badge/instructions/apache/superset/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.03824 | $0.03824 |
| Opus 5.5 | $0.01530 | $0.01530 |
| Sonnet 5.5 | $0.00765 | $0.00765 |
| Haiku 4.5 | $0.00382 | $0.00382 |
Grade A, and why
superset AGENTS.md 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 14d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -f http://localhost:8088/health || echo "❌ Setup required - see https://superset.apache.org/docs/contributing/development#working-with-llms" How it starts
The opening of the file, as written. The whole thing — 317 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LLM Context Guide for Apache Superset
Apache Superset is a data visualization platform with Flask/Python backend and React/TypeScript frontend.
Run Pre-commit Before Pushing
Always run pre-commit against the files changed by the current branch before
pushing. This matches CI and keeps unrelated failures already present on
master from blocking otherwise independent work.
# Stage your changes first
git add .
# Run pre-commit on staged files
pre-commit run
# If there are auto-fixes, stage them and commit
git add .
git commit --amend # or new commit
Use pre-commit run --all-files when auditing or repairing the repository-wide
baseline. If that check finds failures in files untouched by the current branch,
fix them in a separate branch rather than adding unrelated changes to the
current pull request.
Common pre-commit failures:
- Formatting - black, oxfmt, eslint will auto-fix
- Type errors - mypy failures need manual fixes
- Linting - ruff, pylint issues need manual fixes
⚠️ CRITICAL: Ongoing Refactors (What NOT to Do)
These migrations are actively happening - avoid deprecated patterns:
Frontend Modernization
- NO
anytypes - Use proper TypeScript types - NO JavaScript files - Convert to TypeScript (.ts/.tsx)
- Use @superset-ui/core - Don't import Ant Design directly, prefer Ant Design component wrappers from @superset-ui/core/components
- Use antd theming tokens - Prefer antd tokens over legacy theming tokens
- Avoid custom css and styles - Follow antd best practices and avoid styling and custom CSS whenever possible
Testing Strategy Migration
- Prefer unit tests over integration tests
- Prefer integration tests over end-to-end tests
- Use Playwright for E2E tests - Cypress has been removed
- Use Jest + React Testing Library for component testing
- Use
test()instead ofdescribe()- Follow avoid nesting when testing principles
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.
- 14d ago Changed · +1 lines · +24 tokens per session b050831b28f7
- 1mo ago Changed · -6 lines · -66 tokens per session 268794528cb0
- 1mo ago Changed · +7 lines · +246 tokens per session 69224058c18f
- 2mo ago First seen · 315 lines · 3,620 tokens per session scan A 2828404559a3
superset AGENTS.md is an instructions file published in the GitHub repository apache/superset (75,425 stars, last pushed today), licensed Apache-2.0. It adds 3,824 tokens to every session, about $0.0153 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.
superset AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| superset AGENTS.mdapache/superset | Instructions file | 75k | today | Apache-2.0 | A | 3,824 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |