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 ladyiceberg/memory-quality-mcpnpx agentmods add plugins/ladyiceberg/memory-quality-mcp/skillsgit clone --depth 1 https://github.com/ladyiceberg/memory-quality-mcpWrote 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/ladyiceberg/memory-quality-mcp/skills)<a href="https://agentmods.dev/plugins/ladyiceberg/memory-quality-mcp/skills"><img src="https://agentmods.dev/badge/plugins/ladyiceberg/memory-quality-mcp/skills.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
memory-quality 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 4d 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": "memory-quality",
"version": "0.1.0",
"description": "Audit and clean up Claude Code's auto-saved memories. Scores each memory on 4 dimensions, detects conflicts, and opens a visual health dashboard.",
"author": {
"name": "ladyiceberg"
},
"homepage": "https://github.com/ladyiceberg/memory-quality-mcp",
"repository": "https://github.com/ladyiceberg/memory-quality-mcp",
"license": "MIT",
"keywords": ["memory", "claude-code", "audit", "cleanup", "quality"],
"userConfig": {
"api_key": {
"description": "LLM API Key — supports OpenAI, Anthropic, Kimi, MiniMax",
"sensitive": true
},
"provider": {
"description": "LLM provider: openai / anthropic / minimax / kimi (leave blank to auto-detect from api_key)",
"sensitive": false
},
"language": {
"description": "Interface language: en or zh (default: auto-detect from system locale)",
"sensitive": false
}
}
}
What it installs
The manifest is a name and a version. 1 skill, 1 hook travel with it, and installing the plugin installs all of them — 69 tokens a session between them. Each is measured on its own page, and each can be installed alone.
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.
- 4d ago First seen · 27 lines scan A 2a99f2fddbda
memory-quality is a plugin published in the GitHub repository ladyiceberg/memory-quality-mcp (1 stars, last pushed 5mo 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.
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