ComposioHQ/awesome-codex-skills
First read
Promising movement, but the picture is still partial
ComposioHQ/awesome-codex-skills is active enough to inspect further, but the surrounding proof is thinner. Use the source repository and nearby comparisons to decide whether this is rising substance or just short-term visibility.
3.3K public stars in the current GitStar snapshot.
Needs a narrower context read
Last commit Apr 28, 2026.
Fresh activity
Treat stars as discovery context until a linked package appears.
No linked package mapping
One or more key signals are partial, so GitStar keeps the interpretation conservative.
Partial snapshot
Snapshot facts
- 3.3K stars
- 229 forks
- Last commit Apr 28, 2026
- Package usage not mapped yet
Compare lens
jaywcjlove/awesome-mac and vinta/awesome-python are the closest comparison targets GitStar found. A side-by-side comparison usually tells you more than a single raw rank.
Signal trail
Trajectory
Read the recent motion first. This block is for deciding whether the repository still looks alive, compounding, or flattening before you trust stars alone.
Package reality
No linked npm or PyPI package is mapped for this repository yet, so the page leans more heavily on GitHub-visible popularity and should be read more conservatively.
GitStar expects a package signal here, but no npm or PyPI package is linked to this repository yet.
Validation note
GitStar can summarize public signals for ComposioHQ/awesome-codex-skills, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.
GitStar surfaces public popularity and package signals. These rankings are not endorsements, security reviews, or investment advice.
Why this rank
This repository stands out because it combines 100 daily momentum and fresh update.
Reconstructed from current stars and cached daily/weekly/monthly deltas.
GitStar can see repository momentum, but it does not have a reliable linked package signal yet.
Treat stars and recent movement as discovery context only until npm or PyPI usage is available.
jaywcjlove/awesome-mac
Shares the awesome-lists category footprint with ComposioHQ/awesome-codex-skills, so the comparison is closer to a same-problem decision than a same-language coincidence.
vinta/awesome-python
Shares the awesome-lists category footprint with ComposioHQ/awesome-codex-skills, so the comparison is closer to a same-problem decision than a same-language coincidence.
Significant-Gravitas/AutoGPT
Shares the api category footprint with ComposioHQ/awesome-codex-skills, so the comparison is closer to a same-problem decision than a same-language coincidence.
521xueweihan/HelloGitHub
Shares the awesome-lists category footprint with ComposioHQ/awesome-codex-skills, so the comparison is closer to a same-problem decision than a same-language coincidence.
Cross-links
GitStar picked awesome-mac + awesome-python as the closest next comparison from the related repository set.
Embed Badge
[](https://gitstar.space/repo/ComposioHQ/awesome-codex-skills)<a href="https://gitstar.space/repo/ComposioHQ/awesome-codex-skills"><img src="https://gitstar.space/api/badge/ComposioHQ/awesome-codex-skills" alt="GitStar"></a>🔗 Wider nearby ecosystem
This project is dedicated to collecting high-quality macOS software and organizing them systematically by different categories for easy search and use.
An opinionated list of Python frameworks, libraries, tools, and resources.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
:octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
😎 Awesome lists about all kinds of interesting topics
Next step after the validation read
Learn and methodology
About This Page
This page provides a quick overview of ComposioHQ/awesome-codex-skills based on GitStar's cached data. The signal chart reconstructs approximate checkpoints from current stars plus cached daily, weekly, and monthly star deltas, so it is best read as directional context rather than as a precise historical audit log.
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