agentmods.dev

qinglong

qinglong is a skill for Claude Code, Codex from uvwt/agentdock-skills. It costs 40 tokens per session (766 once invoked), scanned A, original, Apache-2.0.

A guide for operating QingLong, a control panel for scheduled scripts and environment variables, through its official local API.

In plain words
What is it for?
Use it to check health, create or update environment variables, manage cron jobs, run or stop tasks, and inspect task logs.
Why use it?
It lets an agent check the panel and manage scheduled jobs or variables through documented API calls without exposing credentials.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 3repo 7d ago A scan 40 tokens original Apache-2.0

Good fit Use it to check health, create or update environment variables, manage cron jobs, run or stop tasks, and inspect task logs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/uvwt/agentdock-skills/qinglong
View source ↗ uvwt/agentdock-skills
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 uvwt/agentdock-skills --skill qinglong
Clone the repo
git clone --depth 1 https://github.com/uvwt/agentdock-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.

agentmods badge for qinglong

README.md
[![agentmods](https://agentmods.dev/badge/skills/uvwt/agentdock-skills/qinglong.svg)](https://agentmods.dev/skills/uvwt/agentdock-skills/qinglong)
Your own site
<a href="https://agentmods.dev/skills/uvwt/agentdock-skills/qinglong"><img src="https://agentmods.dev/badge/skills/uvwt/agentdock-skills/qinglong.svg" alt="Measured on agentmods" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 766 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.00766
Opus 5 $0.00020 $0.00383
Sonnet 5 $0.00008 $0.00153
Haiku 4.5 $0.00004 $0.00077

Measured 8d ago against content hash 9420cc34a672, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

qinglong 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.

The scan reads SKILL.md. This mod also ships 1 executable file (run.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/qinglong/SKILL.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

QingLong Skill

Use this skill to operate a QingLong panel through /open/... APIs.

Default local target:

  • Base URL: http://127.0.0.1:5700
  • Data directory: /Volumes/KIOXIA/Docker/qinglong/data
  • App credentials: read from the QingLong sqlite Apps table, using the system app.

Override with environment variables when needed:

  • QINGLONG_BASE_URL
  • QINGLONG_CLIENT_ID
  • QINGLONG_CLIENT_SECRET
  • QINGLONG_DATA_DIR
  • QINGLONG_DB_PATH

Never print tokens, client secrets, or environment variable values unless the user explicitly asks and the action supports include_values=true.

Preferred operations:

  • status: check Docker compose state, HTTP health, sqlite app credential availability, and token exchange.
  • envs, env_create, env_update, env_delete, env_enable, env_disable: manage environment variables.
  • crons, cron_detail, cron_create, cron_update, cron_delete, cron_run, cron_stop, cron_enable, cron_disable, cron_logs, cron_log: manage scheduled tasks and logs.
  • api: call a QingLong open API path directly for advanced cases.

辅助脚本执行

Skill 本体是本说明文档。确需调用包内辅助脚本时，在 Skill 包根目录使用相对路径执行；运行宿主负责切换到包根目录并把所需变量注入当前子进程。

printf '%s' '{"skill_action":"<动作>"}' | python3 run.py

输入必须是 JSON 对象。写操作仍按本文档中的确认规则执行。

动作 用途
status Check QingLong local compose state, HTTP health, sqlite app credentials, and token exchange.
envs List QingLong environment variables. Values are redacted by default.
env_create Create one or more QingLong environment variables.
env_update Update a QingLong environment variable.
env_delete Delete QingLong environment variables by ids. Requires confirmed=true.
env_enable Enable QingLong environment variables by ids.
env_disable Disable QingLong environment variables by ids.
crons List QingLong cron tasks.
cron_detail Get a QingLong cron task by id.
cron_create Create a QingLong cron task.
cron_update Update a QingLong cron task.
cron_delete Delete QingLong cron tasks by ids. Requires confirmed=true.
cron_run Run QingLong cron tasks by ids.
cron_stop Stop QingLong cron tasks by ids.
cron_enable Enable QingLong cron tasks by ids.
cron_disable Disable QingLong cron tasks by ids.
cron_logs List log files for a QingLong cron task.
cron_log Read latest/current log content for a QingLong cron task.
api Call a QingLong open API path directly. Paths are relative to /open unless api_prefix is supplied.

Read the full file on GitHub · 65 lines

Files

What ships with it

1 file 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.

  1. 8d ago First seen · 65 lines · 40 tokens per session scan A 9420cc34a672

Subscribe to this mod's changes

qinglong is a skill published in the GitHub repository uvwt/agentdock-skills (3 stars, last pushed 7d ago), licensed Apache-2.0. It adds 40 tokens to every session and 766 once invoked, about $0.0002 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 2026-08-31.

DevOps and cloudagentdockai-agentsskills
Related

Other skills, from other repositories

claude-md-improver

Audit and improve CLAUDE.md files in repositories. Use when user asks to check, audit, update, improve, or fix CLAUDE.md files. Scans for all CLAUDE.md files, evaluates quality against templates, outputs quality report, then makes targeted updates. Also use when the user mentions "CLAUDE.md maintenance" or "project…

anthropics/claude-plugins-official · 82 tokens

agent-platform-rag-engine-management

Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google…

google/skills · 85 tokens

gke-reliability

Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for disaster recovery setup or full cluster backups (use gke-backup-dr instead).

google/skills · 73 tokens

gke-workload-security

Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running cluster security audits (auditcluster.sh), configuring Workload Identity Federation (impersonation, KSA/GSA binding, and pod setup), enforcing Network Policies (default-deny…

google/skills · 181 tokens

agent-platform-model-registry

Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.

google/skills · 60 tokens

google-cloud-solution-agentic-analytics-spark-knowledge-catalog

Discovers requirements and generates guidance to design and deploy a governed, secure agentic-analytics solution for data that's distributed across Google Cloud, other cloud providers, or on-premises. Data that's outside Google Cloud (such as data from Databricks, Snowflake, Salesforce, SAP, or Oracle systems) is…

google/skills · 138 tokens