sentinelprobe 0.9.1

Authorized AI prompt-injection and agent-boundary testing CLI

SentinelProbe

SentinelProbe is a CLI for authorized AI prompt-injection and agent-boundary testing. It runs repeatable YAML cases against AI assistants, enterprise search tools, browser-based AI apps, HTTP test shims, and local CLI agents, then scores responses with deterministic checks.

Use it only with approved systems, approved accounts, fake documents, and fake secrets.

Install

From source:

python3 -m pip install .

For isolated installs:

pipx install .

For browser automation:

python3 -m pip install '.[browser]'
python3 -m playwright install chromium

After PyPI publishing:

pipx install sentinelprobe

Quick Start

Check local setup:

sentinelprobe doctor
sentinelprobe doctor --target claude-code
sentinelprobe doctor --target browser

List bundled suites:

sentinelprobe list-suites

Run the local mock baseline:

sentinelprobe run --cases builtin --provider mock --verbose

Run Claude Code with response-only defaults:

sentinelprobe claude-code

Run file-based coding-agent prompt injection against Claude Code:

sentinelprobe claude-code --test agent-files --agent-files --verbose --only-findings --html-report

Limit cost during smoke tests:

sentinelprobe claude-code --test indirect --mutations --limit 5 --verbose --only-findings

Create HTML and trace artifacts:

sentinelprobe claude-code --test agent-files --agent-files --html-report --trace-file reports/agent_files_trace.txt

Compare two reports:

sentinelprobe compare --before reports/baseline.json --after reports/latest.json --html-report

Run source-tree regression checks during development:

python3 scripts/check.py
python3 scripts/check.py --build --wheel-smoke

Test Suites

• direct-basic: basic direct prompt injection cases.
• direct-advanced: advanced direct prompt injection cases.
• direct: basic plus advanced direct prompt injection.
• indirect: inline retrieved-content prompt injection cases.
• agent-files: file-based coding-agent prompt injection cases.
• builtin: all bundled cases.

Use --mutations to expand suites that define deterministic variants.

Providers

• mock: local safe baseline.
• http: approved API or internal test shim.
• command: local wrapper around a CLI agent.
• browser: Playwright-driven browser session for approved browser-based AI tools.

Reports

SentinelProbe writes JSON reports by default. Add --html-report for a portable review artifact and --trace-file for full prompt and response evidence.

Findings use:

• pass: no deterministic issue found.
• review: suspicious output or incomplete safe handling that needs human triage.
• fail: deterministic unsafe behavior, including fake secret leakage.

Documentation

Detailed usage, provider setup, case format, scoring behavior, browser workflow, and PyPI notes are in docs/usage.md.

Safety Scope

• Use only approved systems and accounts.
• Use fake documents, fake secrets, and sandbox data.
• Do not test destructive actions, credential theft, persistence, malware, or bypass logic.
• Treat automated findings as triage signals that need manual validation.