GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
PromptGuard audits prompts for AI agents to ensure safe code generation.
Good fit when
- When developing AI agents that generate code and need strict adherence to safety standards
- For projects requiring detailed documentation of prompt behavior via saved reports
Avoid when
- If your project does not involve prompting AI for code generation or execution
- In scenarios where real-time prompt auditing is required as it focuses on post-audit analysis
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Steady (51d since push)
- As of Sep 12, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 12, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install promptguardSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
PromptGuard offers an auditing tool for prompt-based behavior in AI agents to ensure safe and intended code generation.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 12, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 12, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 12, 2026)
# or: pip install -e .Source link
Tags
README
Install
For agents
This page has a .md twin and JSON over the API.