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skillrecall

PyPIInfrastructure

PulseGate's liveness check found it on 5 Oct 2026; it is registered on PyPI and has been in the index since 4 Sep 2026. How this is checked

skillrecall is an open-source tool for assessing how reliably an agent skill is selected when installed alongside other skills. It provides ranked edits to help developers improve skill retrieval and compatibility with agent environments such as Claude Code, Codex, and Cursor.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
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Overview

5 features

Purpose: Improving the reliability with which agent skills are selected alongside competing skills.

Inferred · not functionally tested

Audience: AI agent developers

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: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

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

In the Agent evaluation & testing space, skillrecall takes a focused approach. Inferred · not functionally tested: It focuses on improving the reliability with which agent skills are selected alongside competing skills. Inferred · not functionally tested: It is built as an open-source project for AI agent developers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It ships for the command line, and it can be self-hosted.

skillrecall first shipped in 2026. Inferred · not functionally tested: Key capabilities include skill assessment, retrieval reliability scoring, and ranked edit recommendations.

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

Tasks: Inferred · not functionally tested

  • Skill assessment
  • Retrieval reliability scoring
  • Ranked edit recommendations
  • Agent skill comparison
  • Multi-agent compatibility

Topics: Inferred · not functionally tested

Tags
agent-skillsskill-retrievalclaude-codecodexcursor

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tier

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed4 Sep · 22:11 UTC
    skillrecall seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about skillrecall

What does skillrecall do?
Inferred · not functionally tested: Skillrecall focuses on improving the reliability with which agent skills are selected alongside competing skills. It is catalogued under Agent evaluation & testing on PulseGate.
Who is skillrecall for?
Inferred · not functionally tested: skillrecall is an open-source project built for AI agent developers.
Is skillrecall free?
Basis unknown · not verified: Yes — skillrecall is open source under the MIT license and free to use.
What platforms does skillrecall run on?
Basis unknown · not verified: skillrecall runs on the command line. It can also be self-hosted.
Is skillrecall still active?
PulseGate's liveness check found it on 5 Oct 2026.
What are alternatives to skillrecall?
Similar projects tracked by PulseGate include skillrig, skillprune, and skill-harness.skillrigskillpruneskill-harness
When did skillrecall launch?
skillrecall first shipped in 2026.
Is skillrecall open source?
Basis unknown · not verified: Yes — skillrecall is open source under the MIT license.

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