guardrails-ai-unusual-prompt
A Guardrails AI input validator that validates a prompt for unusualness and trickery.
Installation
pip install guardrails-ai-unusual-prompt
This validator ships local models. After installing, run the post-install step to download them:
python -m guardrails_ai.unusual_prompt.post_install
Usage
from guardrails import Guard
from guardrails_ai.unusual_prompt import UnusualPrompt
guard = Guard().use(UnusualPrompt)
License
MIT — © Guardrails AI.
Metadata
Release files for guardrails-ai-unusual-prompt 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| guardrails_ai_unusual_prompt-0.0.2.tar.gz | 5.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| guardrails_ai_unusual_prompt-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.8 kB
Release files / guardrails_ai_unusual_prompt-0.0.2.tar.gz
| Download URL | guardrails_ai_unusual_prompt-0.0.2.tar.gz |
|---|---|
| Size | 5.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
11f6008ddb92e5557809ad164a1e8e2bc6f387db4d962eea4bf697273eb34830
|
|
BLAKE2b-256 checksum How to use checksums |
556473f294c79628135d91d9fff9489709b60e4289f8e44d14e3d4b1c7436776
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.4
|
Release files / guardrails_ai_unusual_prompt-0.0.2-py3-none-any.whl
| Download URL | guardrails_ai_unusual_prompt-0.0.2-py3-none-any.whl |
|---|---|
| Size | 4.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ffb1148b2c08ea10dcb08ebdb108b5f22e46b4cc951de1738b9fda1144c3d813
|
|
BLAKE2b-256 checksum How to use checksums |
a879a4bf864ef775730a68b7e437a3ee5b6e88c0ef0e86dc829f61c23d2f4d22
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.4
|
Security for guardrails-ai-unusual-prompt 0.0.2
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
