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/path-safety)<a href="https://agentmods.dev/rules/microsoft/data-formulator/path-safety"><img src="https://agentmods.dev/badge/rules/microsoft/data-formulator/path-safety/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/path-safety"><img src="https://agentmods.dev/badge/rules/microsoft/data-formulator/path-safety.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 | $0.00000 | $0.00539 |
| Opus 5.5 | $0.00000 | $0.00216 |
| Sonnet 5.5 | $0.00000 | $0.00108 |
| Haiku 4.5 | $0.00000 | $0.00054 |
Grade A, and why
path-safety 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
路径安全编码规范
编辑此目录下的文件时,请遵守以下安全规则(详见 docs/dev-guides/8-path-safety.md 和 .cursor/skills/path-safety/SKILL.md):
ConfinedDir 是唯一的路径约束原语
所有接受用户可控路径的代码,必须通过 ConfinedDir 实例访问文件系统。
from data_formulator.security.path_safety import ConfinedDir
jail = ConfinedDir(root_dir, mkdir=False)
try:
target = jail.resolve(user_input)
except ValueError:
return {"error": "Access denied"}
禁止的模式
# ❌ BAD — 裸路径拼接
target = Path(root) / user_input
# ❌ BAD — 手写 resolve + relative_to(已弃用,必须用 ConfinedDir)
target = (root / user_input).resolve()
try:
target.relative_to(root)
except ValueError: ...
# ❌ BAD — 手写 is_relative_to(已弃用,必须用 ConfinedDir)
resolved = (root / user_input).resolve()
if not resolved.is_relative_to(root.resolve()): ...
# ❌ BAD — 路径比较用 str.startswith
if str(target).startswith(str(root)): ...
正确的模式
# ✅ GOOD — Agent 工具
workspace_jail = self.workspace.confined_root
scratch_jail = self.workspace.confined_scratch
target = workspace_jail.resolve(rel_path)
# ✅ GOOD — 文件下载 route
scratch_jail = workspace.confined_scratch
target = scratch_jail.resolve(filename)
return send_file(target)
# ✅ GOOD — 文件上传(两层防御)
safe_name = secure_filename(raw_filename)
target = scratch_jail.resolve(safe_name)
# ✅ GOOD — Workspace data 文件
path = workspace.get_file_path(filename) # 内部使用 ConfinedDir
部署守卫
- 新增读取宿主文件系统的 Loader 必须在
_enforce_deployment_restrictions()注册多用户禁用 - 多用户模式(
WORKSPACE_BACKEND != "local")必须启用沙箱
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 · 70 lines · 0 tokens per session scan A f16800ed907d
path-safety is a cursor rule published in the GitHub repository microsoft/data-formulator (17,610 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 539 tokens. 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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