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promptproof

PyPIInfrastructure

PulseGate's liveness check found it on 3 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 16 Aug 2026. How this is checked

promptproof is an open-source command-line linter for AI agent prompt assets, including SKILL.md files, sub-agents, MCP tool descriptions, slash commands, and system prompts. It performs deterministic static checks for weak triggers, contradictions, token bloat, and invalid frontmatter without requiring an API.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
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Overview

6 features

Purpose: Catching weak, contradictory, bloated, or malformed AI agent prompt assets before they reach production.

Inferred · not functionally tested

Audience: AI agent developers and prompt engineers

Inferred · not functionally tested

Functions: Unknown

Interfaces: API: unknown · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

promptproof sits in PulseGate's Static analysis & linters category. Inferred · not functionally tested: It focuses on catching weak, contradictory, bloated, or malformed AI agent prompt assets before they reach production. Inferred · not functionally tested: promptproof is an open-source project aimed at AI agent developers and prompt engineers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It runs on the command line, and it can be self-hosted.

Behind promptproof is shaxzodbek-uzb, and it first shipped in 2026. The project is developed in the open on GitHub with 6 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include prompt linting, trigger analysis, and contradiction detection. Basis unknown · not verified: Catalogued interfaces include an MCP server.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Prompt linting
  • Trigger analysis
  • Contradiction detection
  • Token analysis
  • Frontmatter validation
  • Static analysis

Topics: Inferred · not functionally tested

Tags
prompt-lintingagent-skillsstatic-analysismcp-toolsci-validation

JSON profile · Text profile · Access guide

Built with & integrations

Connectors
MCPgithub
Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed16 Aug · 09:54 UTC
    promptproof seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about promptproof

What does promptproof do?
Inferred · not functionally tested: Promptproof focuses on catching weak, contradictory, bloated, or malformed AI agent prompt assets before they reach production. It is catalogued under Static analysis & linters on PulseGate.
Who should use promptproof?
Inferred · not functionally tested: promptproof is an open-source project built for AI agent developers and prompt engineers.
Is promptproof free?
Basis unknown · not verified: Yes — promptproof is open source under the MIT license and free to use.
What platforms does promptproof run on?
Basis unknown · not verified: promptproof runs on the command line. It can also be self-hosted.
Is promptproof still active?
PulseGate's liveness check found it on 3 Oct 2026. Its GitHub repository shows 6 commits in the last 90 days.
What projects are similar to promptproof?
Similar projects tracked by PulseGate include promptograph, prompt-copilot-cli, and Prompt Minder.promptographprompt-copilot-cliPrompt Minder
Who develops promptproof?
promptproof is developed by shaxzodbek-uzb.
When did promptproof launch?
promptproof first shipped in 2026.

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