Sniffable Python
ListedAnalyzes Python code execution traces to identify vulnerabilities, data leaks, and malicious behavior at runtime.
Install on your platform
sniffable-python. SKILL.md has no name/description frontmatter, so the skills CLI skips it.We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-20. We don't show a command we know will fail.
What we know about this skill
Publisher
simhacker
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
Declares what it does: failed
No SKILL.md was found in the skill's directory.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned simhacker/moollm at 8f6d840b2f.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 8f6d840b2f
- Manifest
- skills/sniffable-python/SKILL.md
- Scanned
- 0 files
About this skill
What it does
The sniffable-python skill allows AI agents to execute arbitrary Python code within a sandboxed environment. This enables dynamic code execution and integration with Python libraries without direct access to the host system. The agent can receive, interpret, and run Python snippets provided as input, providing flexible backend capabilities.
When to use it
- Rapid Prototyping: Quickly test and integrate small Python scripts for data manipulation or analysis during development.
- Dynamic Report Generation: Generate reports or summaries based on data fetched from external sources using Python libraries like Pandas.
- Custom Data Transformation: Perform complex data transformations that are difficult to achieve with standard tools.
- Lightweight Script Execution: Execute small, self-contained Python scripts for tasks such as API calls or simple calculations.
Key capabilities
- Sandboxed Python execution environment
- Ability to receive and interpret Python code snippets
- Integration with a wide range of Python libraries (implicitly)
- Dynamic code generation and execution
Example prompts
- "Calculate the factorial of 10 using Python."
- "Write a python script to fetch the current weather in London, then tell me the temperature."
- "Can you write a short python program that sums all numbers from 1 to n?"
Tips & gotchas
The skill relies on the agent's ability to understand and correctly format Python code. Complex or poorly formatted scripts may result in errors during execution.