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.
npx agentmods add rules/microsoft/data-formulator/path-safetygit clone --depth 1 https://github.com/microsoft/data-formulatorWhat 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 | $0.00000 | $0.00539 |
| Opus 5 | $0.00000 | $0.00269 |
| Sonnet 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 yesterday.
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.
- yesterday 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 (17,048 stars, last pushed 3d ago), 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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