volcengine-rds-postgresql

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.

agentmods

npx agentmods add skills/bytedance/agentkit-samples/byted-rds-postgresql

Any agent

npx skills add bytedance/agentkit-samples --skill byted-rds-postgresql

Clone the repo

git clone --depth 1 https://github.com/bytedance/agentkit-samples

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/bytedance/agentkit-samples/byted-rds-postgresql.svg)](https://agentmods.dev/skills/bytedance/agentkit-samples/byted-rds-postgresql)

Your own site

<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-rds-postgresql"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-rds-postgresql.svg" alt="Measured on agentmods" height="20"></a>

Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,872 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin unknown 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	$0.00063	$0.01872
Opus 5	$0.00032	$0.00936
Sonnet 5	$0.00013	$0.00374
Haiku 4.5	$0.00006	$0.00187

Measured today against content hash 06dfea64122a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

volcengine-rds-postgresql 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 today.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/call_rds_postgresql.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/byted-rds-postgresql/SKILL.md · 183 lines

How it starts

The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill 概览

本 Skill 用于在对话中充当 火山引擎 RDS PostgreSQL 的智能运维代理:

理解用户的自然语言需求(中文或英文),识别是否与 RDS PostgreSQL 相关;
直接调用内置脚本 scripts/call_rds_postgresql.py 实时查询 RDS PostgreSQL 并获取结果;
当获取到结果或用户粘贴错误信息时,进一步解释、诊断并给出后续建议。

工作模式:

使用 scripts/call_rds_postgresql.py 脚本直接获取 RDS PostgreSQL 的实时响应

运行方式: 脚本支持两种运行方式:

# 方式 1: 使用 uv (推荐，自动管理依赖)
uv run ./scripts/call_rds_postgresql.py [action] [options]

# 方式 2: 使用 python (需要预先安装依赖)
python ./scripts/call_rds_postgresql.py [action] [options]

标准使用流程

确认任务类型与参数
- 判断用户意图:查询实例列表、查看实例详情、管理数据库、管理账号、查看参数配置、创建实例等。
- 收集必要参数(如未指定则使用默认值):
  - --region:地域 ID(默认 cn-beijing)
  - --action:操作类型(如 list-instances、describe-instance、list-databases 等)
  - --instance-id:实例 ID(部分操作必需)

构造查询并调用脚本

示例（以下命令可使用 uv run 或 python 运行）:

# 查询实例列表
uv run ./scripts/call_rds_postgresql.py list-instances
# 或
python ./scripts/call_rds_postgresql.py list-instances

# 查询指定实例详情
uv run ./scripts/call_rds_postgresql.py describe-instance --instance-id postgres-xxx
# 或
python ./scripts/call_rds_postgresql.py describe-instance --instance-id postgres-xxx

# 查询实例的数据库列表
uv run ./scripts/call_rds_postgresql.py list-databases --instance-id postgres-xxx
# 或
python ./scripts/call_rds_postgresql.py list-databases --instance-id postgres-xxx

# 查询实例的账号列表
uv run ./scripts/call_rds_postgresql.py list-accounts --instance-id postgres-xxx
# 或
python ./scripts/call_rds_postgresql.py list-accounts --instance-id postgres-xxx

# 查询实例参数
uv run ./scripts/call_rds_postgresql.py list-parameters --instance-id postgres-xxx
# 或
python ./scripts/call_rds_postgresql.py list-parameters --instance-id postgres-xxx

# 查询 VPC 列表（用于创建实例）
uv run ./scripts/call_rds_postgresql.py list-vpcs
# 或
python ./scripts/call_rds_postgresql.py list-vpcs

# 查询子网列表
uv run ./scripts/call_rds_postgresql.py list-subnets --vpc-id vpc-xxx --zone-id cn-beijing-a
# 或
python ./scripts/call_rds_postgresql.py list-subnets --vpc-id vpc-xxx --zone-id cn-beijing-a

Read the full file on GitHub · 183 lines

Files

What ships with it

3 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.

today First seen · 183 lines · 63 tokens per session scan A 06dfea64122a

Subscribe to this mod's changes

volcengine-rds-postgresql is a skill published in the GitHub repository bytedance/agentkit-samples (445 stars, last pushed today), licensed Apache-2.0. It adds 63 tokens to every session and 1,872 once invoked, about $0.0003 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 2026-09-03.

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