A free, read-only self-check for AI workflow and agent-system readiness.
This tool scans a local project folder for basic operating layers that make AI-assisted work easier to resume, verify, and keep safe. It is intentionally small, local-only, and dependency-free.
The lite version checks six visible foundation layers:
- Project foundation: README and discoverable project entrypoints
- Basic secret hygiene:
.gitignoreenv guards, no root.env, and obvious token-shaped text scan - Tooling inventory:
tools,bin,scripts,ops, or integration notes - Verification basics: tests, smoke checks, CI, Makefile, or documented validation commands
- Documentation presence: docs, setup notes, architecture notes, or usage guide
- Automation structure: repeatable scripts/workflows instead of only manual process
The paid human-reviewed audit covers deeper operational layers that usually need interpretation:
- Context doctrine and agent instructions
- Durable memory architecture
- Task/state persistence
- Observability, evidence, and run traces
- Handoff and multi-agent coordination
- Client-facing report quality
- Before/after improvement planning
- Human-reviewed prioritization and false-positive cleanup
python3 audit_lite.py --target /path/to/projectWrite reports to a folder:
python3 audit_lite.py --target /path/to/project --out reportsThe command writes:
report.jsonreport.md
python3 audit_lite.py --target examples/healthy-workspace --out .tmp/healthy
python3 audit_lite.py --target examples/messy-workspace --out .tmp/messyA workspace with missing operating layers produces a report like this:
# Agent System Audit Lite Report
- Score: 2/9 (0.222, high risk)
## Layer Scores
- `automation-structure`: 0/1 (0.0)
- `basic-secret-hygiene`: 2/3 (0.667)
- `documentation`: 0/1 (0.0)
- `project-foundation`: 0/2 (0.0)
- `tooling-inventory`: 0/1 (0.0)
- `verification-basics`: 0/1 (0.0)
## Findings
- **FAIL** `readme-present` [project-foundation] README or project overview exists: 0/3 candidates found
- Recommendation: Add a short README that explains what this project is, how to run it, and where key files live.
- **FAIL** `verification-path-present` [verification-basics] Tests, smoke checks, or validation commands exist: exit 1
- Recommendation: Document at least one smoke test, lint, typecheck, build, or inspection command agents can run before claiming work is done.Want a deeper review? This free tool checks basic agent readiness. For a human-reviewed audit with prioritized findings, risk notes, and a practical improvement roadmap for your AI workflow, agent system, or automation setup, book the Agent System Audit on Fiverr:
Book the Agent System Audit on Fiverr
- This tool is read-only.
- It does not call an AI model.
- It does not send data anywhere.
- It does not edit, install, delete, or upload files.
- It reports paths for secret-shaped findings, not secret values.
- It is not a security audit, compliance audit, or guarantee of production readiness.
- Python 3.10+
- No third-party packages
MIT