Data Formulator is an interactive workspace where AI agents connect to data sources, answer questions, and create visualizations. It is used to explore and analyze data while branching into related questions without losing the context of each investigative path.
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.
git clone --depth 1 https://github.com/microsoft/data-formulatorWrote 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/rules/microsoft/data-formulator/incremental-development-cadence)<a href="https://agentmods.dev/rules/microsoft/data-formulator/incremental-development-cadence"><img src="https://agentmods.dev/badge/rules/microsoft/data-formulator/incremental-development-cadence/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/rules/microsoft/data-formulator/incremental-development-cadence"><img src="https://agentmods.dev/badge/rules/microsoft/data-formulator/incremental-development-cadence.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 | $0.00255 | $0.00255 |
| Opus 5.5 | $0.00102 | $0.00102 |
| Sonnet 5.5 | $0.00051 | $0.00051 |
| Haiku 4.5 | $0.00026 | $0.00026 |
Grade A, and why
incremental-development-cadence 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 1mo 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.
What it actually says
Incremental Development Cadence
Multi-step tasks MUST be implemented one step at a time. After each logical unit (function, endpoint, component), complete all cross-cutting concerns before moving on.
After Each Step
- Verify against design doc — compare with
design-docs/or issue spec; raise deviations before continuing - Add tests — write/update tests for the just-implemented code, run and confirm green
- Add i18n keys — if user-visible text was introduced, add
en+zhkeys immediately - Update docs — if a new cross-cutting convention was introduced, update dev-guide/Rule immediately
Banned Patterns
- ❌ Implementing 3+ functions/endpoints before writing any tests
- ❌ Sweeping all i18n keys in a final pass after all code is done
- ❌ Checking design docs only after the entire implementation is complete
- ❌ Mentioning "tests and i18n still needed" only in the final response
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.
- 1mo ago First seen · 24 lines · 255 tokens per session scan A 2b6289be1d0f
incremental-development-cadence is a cursor rule published in the GitHub repository microsoft/data-formulator (17,610 stars, last pushed today), licensed MIT. It adds 255 tokens to every session, about $0.0010 per session on Opus 5.5. 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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