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.
Borrowing it
Nothing to install: this file belongs to microsoft/data-formulator. 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/microsoft/data-formulator/main/.cursor/skills/path-safety/SKILL.mdgit 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/skills/microsoft/data-formulator/path-safety)<a href="https://agentmods.dev/skills/microsoft/data-formulator/path-safety"><img src="https://agentmods.dev/badge/skills/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/skills/microsoft/data-formulator/path-safety"><img src="https://agentmods.dev/badge/skills/microsoft/data-formulator/path-safety.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- 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 | $0.00050 | $0.01727 |
| Opus 5.5 | $0.00020 | $0.00691 |
| Sonnet 5.5 | $0.00010 | $0.00345 |
| Haiku 4.5 | $0.00005 | $0.00173 |
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.
How it starts
The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Path Safety — 服务端安全编码规范
来源:
docs/dev-guides/8-path-safety.md(正式开发规范)+design-docs/issues/002-arbitrary-file-read-audit.md(安全审计复核)。 本文档提炼了 6 条必须遵守的编码规范。违反任一条即可能引入路径穿越(LFI)漏洞。
R1. 文件下载:用 ConfinedDir.resolve() + send_file,禁用 send_from_directory
原因:send_from_directory(dir, user_input) 内部会对 user_input 二次解析路径,与前置安全检查形成 TOCTOU 不一致。
# ❌ BAD — 安全检查用 resolved target,发送用原始 filename,两次解析不一致
target = (scratch_dir / filename).resolve()
target.relative_to(scratch_dir.resolve()) # 检查通过
return send_from_directory(str(scratch_dir), filename) # 再次解析
# ✅ GOOD — 检查和发送用同一个 resolved path
scratch_jail = workspace.confined_scratch
target = scratch_jail.resolve(filename)
return send_file(target) # 直接用已验证的路径
send_file(Path) 会根据扩展名自动推断 MIME type,无需额外处理。
R2. 路径安全检查:用 ConfinedDir,禁止 str.startswith
原因:str(path).startswith(str(root)) 存在前缀碰撞缺陷(如 /workspace vs /workspace_evil)。
# ❌ BAD
if not str(resolved).startswith(str(root_resolved) + os.sep):
raise ValueError("escape")
# ✅ GOOD — 统一走 ConfinedDir,内部使用 Path.is_relative_to()
jail = ConfinedDir(root_resolved, mkdir=False)
target = jail.resolve(user_input)
R3. Agent 工具复用 Workspace.confined_*
原因:Agent 工具参数由 LLM 生成,必须视为间接用户输入。不要在工具内手写 Path(root) / rel_path 或 resolve() + relative_to();入口处复用 Workspace 暴露的 ConfinedDir。
# ❌ BAD — 手写路径拼接和校验
def _tool_read_file(self, args, workspace_path):
target = (workspace_path / rel_path).resolve()
target.relative_to(workspace_path)
# ✅ GOOD — 入口拿到 ConfinedDir,工具只调用 jail.resolve()
def _execute_tool(self, name, args):
workspace_jail = self.workspace.confined_root
scratch_jail = self.workspace.confined_scratch
return self._tool_read_file(args, workspace_jail)
def _tool_read_file(self, args, workspace_jail):
target = workspace_jail.resolve(args.get("path", ""))
R4. 优先使用 ConfinedDir,禁止裸路径拼接
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 · 161 lines · 50 tokens per session scan A cb98e8c0287a
path-safety is a skill published in the GitHub repository microsoft/data-formulator (17,584 stars, last pushed today), licensed MIT. It adds 50 tokens to every session and 1,727 once invoked, about $0.0002 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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