Prompt Constraint Auditor
Deterministic constraint occurrence IDs, exact Unicode source spans and conflict references. Lexical constraint cues are heuristic and do not prove semantic conflicts.
The problem it solves
Prompt Constraint Auditor Extract prompt constraints, surface assumptions, and flag possible internal conflicts. The command uses explicit UTF-8 JSON input and produces reviewable JSON or Markdown output.
Who Prompt Constraint Auditor is for
- Developers and maintainers who need reviewable evidence before changing or releasing software.
- Users working with prompts, constraints, audit who want the documented v1.1.1 behavior.
- People who prefer an open-source release with visible limitations, source, and license terms.
Intended result
Deterministic constraint occurrence IDs, exact Unicode source spans and conflict references. Lexical constraint cues are heuristic and do not prove semantic conflicts.
This summary is reconciled from the current catalog and repository documentation.
Features in v1.1.1
Capabilities below come from the current project README and release documentation.
Extract prompt constraints, surface assumptions, and flag possible internal conflicts. The command uses explicit UTF-8 JSON input and produces reviewable JSON or Markdown output.
Verified examples
Screenshots are shown only when the current README references a local source image. Otherwise, repository example files are linked directly.
Platforms and implementation
The public release claims only the cataloged platforms and technologies.
Supported platforms
- Windows
- macOS
- Linux
Built with
- Python
Changelog
Release notes from the canonical v1.1.1 source tag.
- Correct release wording and include dated release history and development notes in source distributions.
- Preserve version 1.1.0 comparison/auditing behavior; update package and runtime version declarations only.
- Attach deterministic IDs and exact Unicode source/cue spans to each constraint occurrence.
- Reference constraint IDs from conflict records, including repeated wording.
- Released the first complete Prompt Constraint Auditor command-line workflow.
- Added deterministic reporting, representative examples, cross-platform tests, and explicit limitations.
Quick start
The shortest documented path into the current release.
Before running these source commands, download the v1.1.1 source archive, extract it, and open a terminal in the extracted project folder containing README.md. Follow the tagged README for required runtimes and any platform-specific setup.
python -m pip install .
prompt-constraints examples/sample.json
prompt-constraints examples/sample.json --format json --output report.jsonThe example documents the v1 input shape. Existing report files are never overwritten. Source inputs are read-only except where the documented purpose explicitly creates a new output artifact.
Current limitations
These boundaries are part of the product and prevent the page from implying unverified capability.
The auditor uses deterministic wording cues and lexical overlap. It cannot reliably infer every implied constraint or prove that two instructions conflict.
Privacy and licensing
Review the actual data boundary before using a tool with sensitive inputs.
Privacy and safety
The tool runs locally and does not upload input or include telemetry. Python 3.10 or newer is supported on Windows, macOS, and Linux.
License and release
Prompt Constraint Auditor is published under MIT. The current cataloged release is v1.1.1, published 2026-10-16.
Related projects
Related projects are selected deterministically from shared catalog tags, category, and implementation technologies—not popularity or paid placement.
Prompt Constraint Auditor v1.1.1
Use the tagged release for downloads and release notes. Use the repository for source, issues, contribution guidance, security reporting, and complete documentation.
Page source: current Forge catalog plus README and CHANGELOG from the canonical GitHub release tag. Fingerprint: 2c3a4ad2eaf9a6b1.