# Skill Maintenance (pypi · skill-maintenance-mcp)

技能库维护 MCP server：损坏扫描/改前备份/决策日志/体检（skill-evolution 机械环节工具化），uvx 一行接入

- Trust score: 77/100 (medium)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-10-04

## Components

- pypi · `skill-maintenance-mcp`: 77/100 (this document), [markdown](https://verifymcp.io/servers/mo9652962-ai-skill-maintenance-mcp/skill-maintenance-mcp.md), [page](https://verifymcp.io/servers/mo9652962-ai-skill-maintenance-mcp/skill-maintenance-mcp)

## Channel facts

- Registry: `pypi`
- Package: `skill-maintenance-mcp`
- Version: `0.1.2`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-10-04.

- **Supply Chain Security**: 100/100
  - No malware found by supply-chain analysis.
  - No known CVEs affecting this package version or its production dependencies.
  - Runs hatchling.build at install time, a recognised build step with no custom scripting around it.
  - 1 of 15 dependencies flagged as unhealthy.
- **Provenance & Transparency**: 74/100
  - Repository check failed: no source repository is declared.
  - Cryptographically verified build provenance (signed, bound to mo9652962-ai/skill-maintenance-mcp).
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 3 days ago).
  - Publishes a security disclosure policy (SECURITY.md).
- **Schema Quality & AI Usability**: 80/100
  - AI-judged instruction clarity (excellent).
  - Tool/resource definitions use about 530 tokens (~106/item across 5 items; 5 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 0/100
  - Stability not yet verified: not enough scan history yet (needs a 30-day window).
- **Tool Coverage**: 98/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 92% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 5 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 6 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a current MCP spec version (2026-07-28).

**Unverified: 1 category.** A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

## Install

### How do I install the Skill Maintenance MCP server?

Skill Maintenance runs locally as a PyPI package, launched with uvx skill-maintenance-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add mo9652962-ai-skill-maintenance-mcp -- uvx skill-maintenance-mcp
```

### Cursor

```json
{
  "mcpServers": {
    "mo9652962-ai-skill-maintenance-mcp": {
      "command": "uvx",
      "args": [
        "skill-maintenance-mcp"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "mo9652962-ai-skill-maintenance-mcp": {
      "command": "uvx",
      "args": [
        "skill-maintenance-mcp"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add mo9652962-ai-skill-maintenance-mcp -- uvx skill-maintenance-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "mo9652962-ai-skill-maintenance-mcp": {
      "type": "local",
      "command": [
        "uvx",
        "skill-maintenance-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add mo9652962-ai-skill-maintenance-mcp --command uvx --arg skill-maintenance-mcp
```

### Hermes

```yaml
mcp_servers:
  mo9652962-ai-skill-maintenance-mcp:
    command: "uvx"
    args: ["skill-maintenance-mcp"]
```

### Netclaw

```json
{
  "McpServers": {
    "mo9652962-ai-skill-maintenance-mcp": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "skill-maintenance-mcp"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add mo9652962-ai-skill-maintenance-mcp -t stdio -c uvx -a skill-maintenance-mcp
```

### Other

```json
{
  "mcpServers": {
    "mo9652962-ai-skill-maintenance-mcp": {
      "command": "uvx",
      "args": [
        "skill-maintenance-mcp"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-10-01 (score 77, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-09-30 (score 62)

First indexed and scored.

## MCP tools (5)

### `skill_backup` (~93 tokens)

Skill Backup

改前备份技能目录到 ~/.agents/skill-backups/<今天>/（skill-evolution 铁律: 修订前必备份）。

Input parameters:

- `backup_root`: 备份目标根（默认 ~/.agents/skill-backups）
- `skill_names` (array, required): 技能目录名列表（如 ["esq-question-bank-import"]）
- `skills_root` (string): 技能库根目录

### `skill_scan_corruption` (~103 tokens)

Skill Scan Corruption

技能文件损坏扫描（铁律: 每次写入/修订后必跑）。检测 formfeed(\x0c) / 真 tab / 行中 CR——JSON 序列化转义被解释的隐性损坏。

Input parameters:

- `paths` (array, required): 文件或技能目录列表（目录按 SKILL.md/references/templates/scripts 展开扫描）
- `skills_root`: 传入相对路径时的根目录

### `skill_log_decision` (~150 tokens)

Skill Log Decision

向技能的 references/decision-log.md 追加决策记录（四字段: 诊断/修订/证据/结果——记「为什么改」, 未来 agent 不重新踩坑）。

Input parameters:

- `diagnosis` (string, required): 诊断——技能在什么场景失效
- `evidence` (string, required): 证据——评估/实测结果
- `result` (string, required): 结果——接受/拒绝 + 原因
- `revision` (string, required): 修订——改了哪里
- `skill_path` (string, required): 技能目录绝对路径
- `title` (string, required): 一句话标题（自动加日期前缀）

### `skill_read_decisions` (~42 tokens)

Skill Read Decisions

读取技能 decision-log 概要（条目标题列表），修订前先看避免重复踩坑。

Input parameters:

- `skill_path` (string, required)

### `skill_validate` (~62 tokens)

Skill Validate

技能体检: frontmatter 必填（name/description/version）+ 损坏扫描 + 孤儿 reference（未挂链=不可发现）+ decision-log 概要。

Input parameters:

- `skill_path` (string, required): 技能目录绝对路径

## Diagnostics

Captured diagnostic sections: Provenance, Install scripts, Dependencies. The full working is on the page: https://verifymcp.io/servers/mo9652962-ai-skill-maintenance-mcp/skill-maintenance-mcp#diagnostics

## Score history

- 2026-10-04: 77
- 2026-10-03: 77
- 2026-10-02: 77
- 2026-10-01: 77
- 2026-09-30: 62

## Common questions

### What is the Skill Maintenance MCP server?

Skill Maintenance is an MCP server listed in the public MCP registry as io.github.mo9652962-ai/skill-maintenance-mcp. 技能库维护 MCP server：损坏扫描/改前备份/决策日志/体检（skill-evolution 机械环节工具化），uvx 一行接入. This page covers its PyPI package (skill-maintenance-mcp).

### Is the Skill Maintenance MCP server safe to use?

Skill Maintenance scores 77 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 4 October 2026. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the Skill Maintenance MCP server expose?

Skill Maintenance exposes 5 tools: skill_backup, skill_scan_corruption, skill_log_decision, skill_read_decisions, skill_validate. Their descriptions and schemas cost roughly 450 tokens of context every time the server is loaded.

### Is the Skill Maintenance MCP server still maintained?

Skill Maintenance is still listed as active in the MCP registry. We last reached this channel on 4 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

### What licence is the Skill Maintenance MCP server under?

Skill Maintenance declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

## Links

- PyPI project: https://pypi.org/project/skill-maintenance-mcp/
- Socket report: https://socket.dev/pypi/package/skill-maintenance-mcp
- Changelog RSS feed: https://verifymcp.io/servers/mo9652962-ai-skill-maintenance-mcp/skill-maintenance-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/mo9652962-ai-skill-maintenance-mcp/skill-maintenance-mcp.json
- HTML version of this page: https://verifymcp.io/servers/mo9652962-ai-skill-maintenance-mcp/skill-maintenance-mcp