Who should use abstractskill?

abstractskill is an open-source project built for AI agent developers.

Does abstractskill have a free plan?

Yes — abstractskill is open source under the MIT license and free to use.

What platforms does abstractskill run on?

abstractskill runs on the command line.

Is abstractskill still active?

The GitHub repository shows 35 commits in the last 90 days.

Who develops abstractskill?

abstractskill is developed by lpalbou.

When did abstractskill launch?

abstractskill first shipped in 2026.

Is abstractskill open source?

Yes — abstractskill is open source under the MIT license, developed on GitHub.

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abstractskill

Name: abstractskill
Author: lpalbou

PyPIInfrastructure

abstractskill is a Python library that provides parsing, discovery, trust gating, and demand derivation capabilities for Agent Skills defined in SKILL.md files. It is designed to work with the AbstractFramework ecosystem, supporting keywords like abstractframework, abstractcore, and ai-agents. Licensed under MIT, it is available on PyPI and GitHub.

Open SourceMITCLI

Visit PyPI

1star

4features

2026since

Overview

4 features

In the Frameworks & SDKs space, abstractskill takes a focused approach. Parsing, discovering, and managing trust for agent skills defined in SKILL.md files within the AbstractFramework ecosystem. abstractskill is an open-source project aimed at AI agent developers. abstractskill is open source under the MIT license. It runs on the command line.

lpalbou builds and maintains abstractskill, and it first shipped in 2026. Development happens publicly on GitHub with 35 commits in the last 90 days. Key capabilities include skill parsing, trust gating, and demand derivation. It exposes integrations via an MCP server.

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

Skill parsing
Trust gating
Demand derivation
Progressive disclosure

Built with & integrations

Connectors

MCP

Runs on

CLI

Trust & compliance

License

MIT

Verified signals

HTTPSOpen Source GitHub · ★ 1Active maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed6 Aug · 01:54 UTC
abstractskill verified against its public source
Source: PulseGate · Open

Frequently asked questions about abstractskill

What is abstractskill?: Parsing, discovering, and managing trust for agent skills defined in SKILL.md files within the AbstractFramework ecosystem. It is catalogued under Frameworks & SDKs on PulseGate.
Who should use abstractskill?: abstractskill is an open-source project built for AI agent developers.
Does abstractskill have a free plan?: Yes — abstractskill is open source under the MIT license and free to use.
What platforms does abstractskill run on?: abstractskill runs on the command line.
Is abstractskill still active?: The GitHub repository shows 35 commits in the last 90 days.
Who develops abstractskill?: abstractskill is developed by lpalbou.
When did abstractskill launch?: abstractskill first shipped in 2026.
Is abstractskill open source?: Yes — abstractskill is open source under the MIT license, developed on GitHub.

At a glance

Platforms: Cli
Languages: English
Open source: Yes · ★ 1
License: MIT
First seen: 6 Aug 2026
Built for: AI agent developers
Model: Open source
Solves: Parsing, discovering, and managing trust for agent skills defined in SKILL.md files within the AbstractFramework ecosystem.

Registered as

GitHub: lpalbou/AbstractSkill
PyPI: abstractskill

Developer

lpalbou

Solo developer

GitHub

Open source

View on GitHub

Stars: 1
Forks: 0
Open issues: 0
Last commit: 6 Aug 2026
Commits 90d: 35
Contributors: 1
Authorship: Solo
Default branch: main
Latest release: v0.2.0 · 6 Aug 2026

Live coverage

Identity confidence: Low · 64
Indexed: 6 Aug 2026
Lifecycle: Alive
First seen: Aug 2026
Last seen: 6 Aug 2026

Identity audit (13)

Slug: abstractskill-pypi-org
Lifecycle state recorded: 6 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 6 Aug 2026
Timeline basis: Indexed-at chronology (no inferred launch/funding milestones).
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 6 Aug 2026
Canonical URL: https://pypi.org/project/abstractskill

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