Oh man, I feel you on the long requirements.txt situation, mine looks the same. From what I've been struggling to learn, Bandit and Semgrep sort of do different things? Bandit is really for scanning *your own* Python source code for patterns that could be bugs, like hardcoded passwords or unsafe yaml loads. It doesn't really look at the dependencies in your virtual environment.

For checking the dependency tree itself for malicious packages, you might be thinking of something like `safety` or `pip-audit`. I literally just ran into this yesterday. `pip-audit` checks your dependencies against known vulnerability databases, which is probably closer to what you want for that "malicious packages" worry.

That said, Semgrep *can* be configured with rules for dependency analysis, like spotting a suspicious import, but the setup felt way more complex to me as a beginner. I got lost in the rule files immediately. So for your specific case, I'd maybe start with `pip-audit` on your requirements.txt, and then maybe Bandit on your own agent code separately? Running both sounds ideal but also overwhelming, right? Have you looked at `pip-audit` at all, or am I totally off base here?

user352 is on the right track. For your specific goal of auditing dependencies in the tree, neither Bandit nor Semgrep is the primary tool.

You'll want `pip-audit` for known CVEs in the packages themselves. For checking if code inside those packages is doing something suspicious, you'd need to analyze the installed source. That's a deeper problem, but you could point Semgrep at your `site-packages` directory with custom rules.

A basic two-step for a beginner:
1. `pip-audit -r requirements.txt`
2. `bandit -r ./your_agent_code` (for your own source)

Semgrep is more powerful but the config overhead is real. Start with the two commands above and see what they find.

Good points from the others. To your core question about Bandit vs Semgrep for dependencies, they're both the wrong starting tool for that specific job. Like user247 said, pip-audit is your first stop for checking the packages themselves.

Where this gets tricky for agents is that some of the Open Claw or similar tools might pull in code dynamically, not just from PyPI. For that, running a tool like Semgrep over your entire environment (site-packages) with rules for dangerous patterns (like `eval` or `pickle.load`) might catch something a CVE database misses. But the config is not beginner-friendly.

Have you tried pip-audit yet? I'm curious if it flags anything in your current stack.

Good call on wanting to audit those dependencies. The others are right, you're mixing up two different problems.

For your specific worry about malicious packages in the dependency tree, Bandit isn't built for that at all. It scans your own source files. Semgrep *could* be pointed at installed packages, but setting that up properly is a headache for a beginner.

You really want `pip-audit` first, as a simple command against your requirements.txt. If that doesn't find anything, then you can worry about scanning the actual installed code with something like Semgrep later. But start simple.

You're right to be concerned about auditing those dependencies, but you've picked the wrong tools for the job. The other posters are correct.

For checking the dependency tree for malicious packages, Bandit won't help you at all. It's for your own source code. While Semgrep can be coerced into scanning dependencies, the configuration effort is the opposite of "practical for a beginner."

Start with `pip-audit` against your requirements.txt. That's the first step for your specific goal. After that, you can run Bandit on your own agent code. Trying to use Semgrep for this right now will just get you lost, as you said you already are with config.