toll

Security checks across static analysis, malware telemetry, and agentic risk

Overview

The skill is a clear wrapper around the toll CLI for cost summaries, with disclosed but noteworthy reliance on an external CLI that reads local Claude/Codex session logs.

This skill appears purpose-aligned for viewing token and cost statistics. Before installing, make sure you trust the toll CLI source and understand that it reads local Claude/Codex session logs; review the remote installer or use a trusted package method if possible.

Static analysis

No static analysis findings were reported for this release.

VirusTotal

VirusTotal findings are pending for this skill version.

View on VirusTotal

Risk analysis

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

If you choose the quick install, your shell will execute code fetched from GitHub before the toll CLI is used.

Why it was flagged

The quick install method runs a remote script from a moving GitHub branch. It is disclosed and user-directed, but it relies on trusting that remote source at install time.

Skill content
curl -fsSL https://raw.githubusercontent.com/Fullstop000/toll/refs/heads/master/install.sh | sh
Recommendation

Install only from a trusted source; consider reviewing the install script, using a pinned release if available, or using cargo install from a trusted Rust toolchain.

What this means

Those local logs may reveal sensitive project names, prompts, or coding activity even though the stated output is aggregate usage and cost data.

Why it was flagged

The skill explicitly depends on reading persistent local AI coding session logs to calculate usage and cost statistics.

Skill content
Logs are read from `~/.claude/projects/**/*.jsonl` (Claude Code) and `~/.codex/sessions/` (Codex CLI).
Recommendation

Run the skill only if you are comfortable with the toll CLI reading these local session directories, and avoid exporting or sharing outputs if they reveal sensitive activity.