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.
git clone --depth 1 https://github.com/rayapatiranjithai/prompt-analyzerWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/plugins/rayapatiranjithai/prompt-analyzer/marketplace)<a href="https://agentmods.dev/plugins/rayapatiranjithai/prompt-analyzer/marketplace"><img src="https://agentmods.dev/badge/plugins/rayapatiranjithai/prompt-analyzer/marketplace/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/plugins/rayapatiranjithai/prompt-analyzer/marketplace"><img src="https://agentmods.dev/badge/plugins/rayapatiranjithai/prompt-analyzer/marketplace.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
rayapatiranjithai-plugins marketplace 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 8d 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.
What it actually says
{
"name": "rayapatiranjithai-plugins",
"description": "Prompt-engineering tools for Claude Code — live prompt-quality coaching scored against documented standards.",
"owner": {
"name": "Ranjith Rayapati",
"url": "https://github.com/rayapatiranjithai"
},
"metadata": {
"description": "Prompt-engineering tools for Claude Code — live prompt-quality coaching scored against documented standards.",
"version": "1.1.0"
},
"plugins": [
{
"name": "prompt-analyzer",
"source": ".",
"description": "Analyzes and coaches how you write prompts, scored against Anthropic's documented prompt-engineering standards, with persistent per-session statistics.",
"version": "1.1.0"
},
{
"name": "standup",
"source": {
"source": "github",
"repo": "rayapatiranjithai/standup"
},
"description": "Assembles a copy-ready Yesterday/Today/Blockers standup from live git activity (and optional GitHub PRs). Fully local and stateless.",
"version": "0.1.0"
}
]
}
The plugins it lists here
This marketplace lists 1 plugin kept in the same repository. Each has its own page, its own measurements and its own install command.
What ships with it
1 file beside marketplace.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.
- 8d ago First seen · 30 lines scan A d4071e3cdfd6
rayapatiranjithai-plugins marketplace is a plugin published in the GitHub repository rayapatiranjithai/prompt-analyzer (1 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other plugins, from other repositories
prompt-optimizer
Clarify and optimize prompts for GPT-6 Astra, GPT-5.6, Claude, Gemini, Kimi, GLM, and DeepSeek-V4, plus Astra Skills/AGENTS.md audits.
prompt-studio
Prompt engineering workbench with a Lean persona layer that cuts LLM output size, cost, and latency. Injects the Lean ruleset every session via SessionStart + SubagentStart hooks.
prompt-pilot
Turns rough, vague prompts into precise, context-enriched prompts. Explores the current codebase read-only, weaves real file paths and symbols into the rewritten prompt, and never implements the task itself.
claude-prompt-boost
Rewrites your prompt before the model sees it, on your Claude subscription - no API key. Shapes nothing else about the answer.
petprompt
A cute terminal pet that refines your rough prompts using your current session's context, memory, and model. No API key.
prompt-engineering
Expert guidance for designing, optimizing, evaluating, and securing prompts and system prompt architectures for LLMs.