A Python library for bioinformatics and community ecology, the study of biological communities such as groups of microbes or species. It works with DNA, RNA, and protein sequences, alignments, phylogenetic trees, and diversity measurements.

Use it to analyze microbiome composition, compare communities, measure diversity, study evolutionary trees, align sequences, and visualize differences with methods such as PCoA.

It gives biological data consistent structures and analysis methods, reducing the need to build custom code for sequence and ecosystem data.

dm8-tools — Skill for Claude Code and Codex by huangzt

Install

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.

Any agent

npx skills add huangzt/my-agent-skills --skill dm8-tools

Clone the repo

git clone --depth 1 https://github.com/huangzt/my-agent-skills

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/huangzt/my-agent-skills/dm8-tools/github.svg)](https://agentmods.dev/skills/huangzt/my-agent-skills/dm8-tools)

Your own site

<a href="https://agentmods.dev/skills/huangzt/my-agent-skills/dm8-tools"><img src="https://agentmods.dev/badge/skills/huangzt/my-agent-skills/dm8-tools/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/huangzt/my-agent-skills/dm8-tools"><img src="https://agentmods.dev/badge/skills/huangzt/my-agent-skills/dm8-tools.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 747 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00092	$0.00747
Opus 5	$0.00046	$0.00374
Sonnet 5	$0.00018	$0.00149
Haiku 4.5	$0.00009	$0.00075

Measured 12d ago against content hash 823019324256, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

dm8-tools 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 12d ago.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/dm8_connect.py, scripts/dm8_info.py, scripts/dm8_query.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/dm8-tools/SKILL.md · 101 lines

What it actually says

达梦数据库 DM8 工具 Skill

用于操作达梦数据库的工具集，提供连接测试、表管理和 SQL 执行功能。

快速开始

前置要求

安装 Python 依赖：

pip install jaydebeapi JPype1

本工具使用 JDBC 驱动连接达梦数据库，已内置 DmJdbcDriver18.jar 驱动文件。

连接参数

所有脚本支持以下参数：

参数	说明	默认值
`--host`	数据库主机地址	localhost
`--port`	数据库端口	5236
`--user`	数据库用户名	SYSDBA
`--password`	数据库密码	必填
`--database`	数据库名称	可选
`--schema`	Schema 名称	用户默认 Schema

可用脚本

1. 测试数据库连接

python scripts/dm8_connect.py --host 127.0.0.1 --port 5236 --user SYSDBA --password YOUR_PASSWORD

2. 列出所有表

python scripts/dm8_tables.py --host 127.0.0.1 --user SYSDBA --password YOUR_PASSWORD --schema SCHEMA_NAME

3. 查看表结构

python scripts/dm8_schema.py --host 127.0.0.1 --user SYSDBA --password YOUR_PASSWORD --table TABLE_NAME --schema SCHEMA_NAME

4. 执行 SQL 查询

python scripts/dm8_query.py --host 127.0.0.1 --user SYSDBA --password YOUR_PASSWORD --query "SELECT * FROM TABLE_NAME WHERE ROWNUM <= 10"

5. 查看数据库信息

python scripts/dm8_info.py --host 127.0.0.1 --user SYSDBA --password YOUR_PASSWORD

输出格式

所有脚本输出 JSON 格式数据：

{
  "success": true,
  "data": {...},
  "message": "操作成功"
}

平台兼容性

✅ Windows
✅ macOS
✅ Linux

驱动文件查找顺序：

assets/DmJdbcDriver18.jar（推荐位置）
环境变量 DM_HOME/drivers/jdbc/
系统默认安装位置

达梦数据库特有注意事项

使用 Schema 概念（类似 Oracle）
系统视图使用 DBA_*、ALL_*、USER_* 命名
支持 PL/SQL 语法
默认端口为 5236
默认管理员用户为 SYSDBA

参考更多 SQL 示例

查看 references/common_queries.md 获取常用达梦 SQL 查询模板。

Files

What ships with it

7 files beside SKILL.md 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.

Changes

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.

12d ago First seen · 101 lines · 92 tokens per session scan A 823019324256

Subscribe to this mod's changes

dm8-tools is a skill published in the GitHub repository huangzt/my-agent-skills (20 stars, last pushed 8mo ago), licensed MIT. It adds 92 tokens to every session and 747 once invoked, about $0.0005 per session on Opus 5. 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 2026-08-30.

Databases Scientific ai-agent ai-tools automation cross-platform dameng database-tools

dm8-tools