awesome-muse-connectors
A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes.
Not yet testedsource: GitHubhomepagePythonMITcommit 34d1378bac88
Python, MIT licensed. The project labels itself: agent skills, agentic ai, ai agents, ai tools, api, api integration, automation and awesome.
awesome-muse-connectors has not been verified yet.
Measured by Argusic on a fresh machine every time. Every number links to its evidence.
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
No recorded runs.
Topics (from GitHub)
agent-skillsagentic-aiai-agentsai-toolsapiapi-integrationautomationawesomeawesome-listconnector-catalogconnectorsdeveloper-toolsintegrationsllmmeta-aimusemuse-connectorsopen-sourcepersonal-aiskills
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/awesome-muse-connectors)Questions
- Does awesome-muse-connectors run?
- awesome-muse-connectors has not been fully verified yet. No recorded run has produced a verdict yet.
- How did Argusic test awesome-muse-connectors?
- On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
- Where is the evidence for awesome-muse-connectors?
- All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.