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scaffold-lint

github.comInfrastructure

PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 16 Jun 2026. How this is checked

Static linter for LLM prompt scaffolds — catches oversized scaffolds and incompatible technique mixes (evidential + step-by-step + format).

Inferred · not functionally tested

Open SourceMITWebCLISelf-hosted
scaffold-lint preview
Visit github.com

Overview

5 features

Purpose: Preventing errors and inefficiencies in LLM prompt engineering by statically analyzing prompt scaffolds.

Inferred · not functionally tested

Audience: AI developers and prompt engineers

Inferred · not functionally tested

Functions: Unknown

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

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

Constraint provenance is unknown; confirm requirements with the publisher.

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

In the Static analysis & linters space, scaffold-lint takes a focused approach. Inferred · not functionally tested: It focuses on preventing errors and inefficiencies in LLM prompt engineering by statically analyzing prompt scaffolds. Inferred · not functionally tested: scaffold-lint is an open-source project aimed at AI developers and prompt engineers. Basis unknown · not verified: scaffold-lint is open source under the MIT license. Basis unknown · not verified: scaffold-lint is available on the web and the command line, and it can be self-hosted.

Behind scaffold-lint is hermes-labs-ai, and it first shipped in 2026. Inferred · not functionally tested: Key capabilities include prompt scaffold linting, oversized prompt detection, and technique compatibility checks.

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

Tasks: Inferred · not functionally tested

  • Prompt scaffold linting
  • Oversized prompt detection
  • Technique compatibility checks
  • Static analysis
  • LLM prompt engineering

Topics: Inferred · not functionally tested

Tags
prompt-linterllm-promptsstatic-analysisprompt-engineering
AI capabilities
Text
Weights: Open

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
BrowserCLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHub

Indexing history

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Frequently asked questions about scaffold-lint

What does scaffold-lint do?
Inferred · not functionally tested: Scaffold-lint focuses on preventing errors and inefficiencies in LLM prompt engineering by statically analyzing prompt scaffolds. It is catalogued under Static analysis & linters on PulseGate.
Who should use scaffold-lint?
Inferred · not functionally tested: scaffold-lint is an open-source project built for AI developers and prompt engineers.
Is scaffold-lint free?
Basis unknown · not verified: Yes — scaffold-lint is open source under the MIT license and free to use.
What platforms does scaffold-lint run on?
Basis unknown · not verified: scaffold-lint runs on the web and the command line. It can also be self-hosted.
Is scaffold-lint still active?
PulseGate's liveness check found it on 14 Sep 2026.
Who makes scaffold-lint?
scaffold-lint is developed by hermes-labs-ai.
How long has scaffold-lint been around?
scaffold-lint first shipped in 2026.
Is scaffold-lint open source?
Basis unknown · not verified: Yes — scaffold-lint is open source under the MIT license, developed on GitHub.

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