Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
/plugin marketplace add AwesomeJun/CC-statuslinenpx agentmods add plugins/awesomejun/cc-statusline/cc-statuslinegit clone --depth 1 https://github.com/AwesomeJun/CC-statuslineGrade A, and why
CC-statusline scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
86% identical to awesome-statusline marketplace — 26 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
{
"name": "awesome-statusline",
"version": "3.3.2",
"description": "A Claude Code statusline that shows reasoning effort (⚡) and thinking (💡). 5 presets (xsmall-xlarge), Catppuccin theme, no Node/Nerd Font, native PowerShell on Windows.",
"author": {
"name": "AwesomeJun",
"email": "[email protected]",
"github": "AwesomeJun"
},
"homepage": "https://github.com/AwesomeJun/CC-statusline",
"keywords": ["statusline", "catppuccin", "effort", "thinking", "context-window", "terminal"]
}
What ships with it
1 file beside plugin.json in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 13 lines scan A a4e78ee65dbf
CC-statusline is a plugin published in the GitHub repository AwesomeJun/CC-statusline (171 stars, last pushed 1mo ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. It is 86% identical to awesome-statusline marketplace, differing in 26 lines, and is treated as a copy.
Other plugins, from other repositories
context7-docs-fetcher
Use this agent when you need to fetch and utilize documentation from Context7 for specific libraries or frameworks. Examples: Context: User is building a React application and needs documentation about hooks. user: 'I need to implement useState and useEffect in my React component' assistant: 'I'll use the cont.
awesome-japanese-nlp-slides marketplace
Search tools for awesome-japanese-nlp-slides: find Japanese NLP presentation slides and lecture materials.
blocked-resource
blocked-resource. Inspect and compile Claude Code and Codex plugins into auditable DeepSeek Harness bundles.
aio-epub-translate
Translate EPUB books into literary Vietnamese end-to-end — upload, pre-translation analysis, chapter translation with consistency checks, quality review, and bilingual export.
code-architect
Use this agent when you need to design scalable architecture and folder structures for new features or projects. Examples include: when starting a new feature module, refactoring existing code organization, planning microservice boundaries, designing component hierarchies, or establishing project structure conventions.
analytics-reporter
Use this agent when analyzing metrics, generating insights from data, creating performance reports, or making data-driven recommendations. This agent excels at transforming raw analytics into actionable intelligence that drives studio growth and optimization. Examples:\n\n \nContext: Monthly performance review.