atifact

PassAudited by ClawScan on May 16, 2026.

Overview

This instruction-only skill is coherent for converting user-selected session logs, but users should be aware it relies on an external npm CLI and can create files containing sensitive trajectory data.

This skill appears safe for its stated purpose if you intentionally choose the session log to convert and trust the external `atifact` npm CLI. Be cautious with HAR and JSONL logs because they can contain private prompts, tool outputs, request metadata, or other sensitive session details, and the generated trajectory files may preserve that information.

Findings (3)

Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.

What this means

Installing the package allows external code from npm to run on the user's machine when the CLI is used.

Why it was flagged

The skill depends on an external globally installed npm CLI, but the CLI implementation is not part of the provided artifact set. This is a normal setup pattern for a CLI wrapper skill, but users are trusting the npm package.

Skill content
If not installed, install globally:

```bash
npm install -g atifact
```
Recommendation

Install only from a trusted npm source, consider pinning or verifying the package version, and avoid running it on highly sensitive logs unless you trust the CLI.

What this means

The agent may execute the `atifact` command on the selected session log and create trajectory files at the chosen output path.

Why it was flagged

The skill instructs the agent to run a local command that reads a user-specified file and writes output files. This is central to the stated conversion purpose and is not hidden or overbroad.

Skill content
Run `atifact` with the input file. Use `-o` to set the output prefix (e.g., `atifact /path/to/session.har -o /path/to/session`).
Recommendation

Confirm the intended input file and output prefix before running the conversion, especially when logs are private or outputs are saved in shared folders.

What this means

Generated trajectory files may contain sensitive details from the original agent session and could expose them if shared or stored insecurely.

Why it was flagged

The skill transforms session recordings into persistent trajectory JSON. These artifacts may preserve conversation context, tool calls, observations, metadata, and timestamps.

Skill content
Convert agent session recordings (HAR files, Claude Code JSONL logs, Copilot CLI JSONL logs) into structured ATIF v1.6 trajectory JSON
Recommendation

Review generated trajectory files before sharing them and store or delete them according to the sensitivity of the original session logs.