
Security News
The Hidden Blast Radius of the Axios Compromise
The Axios compromise shows how time-dependent dependency resolution makes exposure harder to detect and contain.
This slice implements filesystem operations (edit_file, write_file, etc.) that are guarded by the Session Guard's Investigation State Machine.
Instead of using an external, unguarded filesystem MCP server, Arela internally implements these tools. This allows us to intercept every write operation and block it if the agent has not completed the investigation phase.
| Tool | Guarded | Purpose |
|---|---|---|
edit_file | ✅ YES | Modify existing files |
write_file | ✅ YES | Create or overwrite files |
read_file | ❌ NO | Read file content (Tracked as Evidence) |
list_directory | ❌ NO | Explore file structure |
delete_file | ✅ YES | Delete files |
create_directory | ✅ YES | Create directories |
move_file | ✅ YES | Rename/move files |
Every write operation calls checkWriteAccessOp(toolName) from slices/guard/ops.ts.
DISCOVERY, ANALYSIS, or VERIFICATION state, the operation throws an error.IMPLEMENTATION or REVIEW state, the operation proceeds.All operations use strict path validation:
FAQs
The AI's Memory Layer for Vibecoding - Context persistence via MCP
The npm package arela receives a total of 3 weekly downloads. As such, arela popularity was classified as not popular.
We found that arela demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Security News
The Axios compromise shows how time-dependent dependency resolution makes exposure harder to detect and contain.

Research
A supply chain attack on Axios introduced a malicious dependency, plain-crypto-js@4.2.1, published minutes earlier and absent from the project’s GitHub releases.

Research
Malicious versions of the Telnyx Python SDK on PyPI delivered credential-stealing malware via a multi-stage supply chain attack.