Agent Skills › jd-opensource/JoyAI-Echo › my

my

GitHub

用于检查和设置Agent运行时状态（模型、迭代次数、上下文窗口等）。适用于诊断问题、检查资源限制、适应任务复杂度及跨轮次记忆偏好，帮助用户了解配置和限制。

echo_longvideo/Director_Agent/nanobot/skills/my/SKILL.md jd-opensource/JoyAI-Echo

Trigger Scenarios

诊断功能异常原因执行复杂任务前检查资源限额查询当前模型或Token使用情况根据任务长度调整配置

Install

npx skills add jd-opensource/JoyAI-Echo --skill my -g -y

More Options

Non-standard path

npx skills add https://github.com/jd-opensource/JoyAI-Echo/tree/main/echo_longvideo/Director_Agent/nanobot/skills/my -g -y

Use without installing

npx skills use jd-opensource/JoyAI-Echo@my

指定 Agent (Claude Code)

npx skills add jd-opensource/JoyAI-Echo --skill my -a claude-code -g -y

安装 repo 全部 skill

npx skills add jd-opensource/JoyAI-Echo --all -g -y

预览 repo 内 skill

npx skills add jd-opensource/JoyAI-Echo --list

SKILL.md

Frontmatter

{
    "name": "my",
    "always": true,
    "description": "Check and set the agent's own runtime state (model, iterations, context window, token usage, web config). Use when diagnosing why something doesn't work (\"why can't you search the web?\", \"why did you stop?\"), checking resource limits before complex tasks, adapting configuration for long or simple tasks, or remembering user preferences across turns. Also use when the user asks what model you are running, how many tokens you've used, or what your settings are."
}

Self-Awareness

How to use

Identify the situation from the categories below
Call the my tool with the appropriate action
If set, warn the user before changing impactful settings (model, iterations)
For detailed examples, read references/examples.md

When to check

**Diagnose before explaining.** When something doesn't work, check your state first. **Check budget before complex tasks.** Know your limits before committing. **Recall across turns.** Store preferences in your scratchpad, read them back later.

When to set

**Only set when benefit is clear and user is informed.** Warn before changing model.

Situation	Command
Large codebase analysis	`my(action="set", key="context_window_tokens", value=131072)`
Repetitive simple tasks	`my(action="set", key="model", value="<fast-model>")`
Long multi-step task	`my(action="set", key="max_iterations", value=80)`

Tradeoff: Bias toward stability. Only set when defaults are genuinely insufficient.

Anti-patterns

**Don't check every turn.** Costs a tool call. Use when you need information, not reflexively. **Don't store sensitive data.** No API keys, passwords, or tokens in scratchpad. **Don't set workspace.** Does not update file tool boundaries — won't work.

Constraints

All modifications in-memory only — restart resets everything
Protected params have type/range validation: max_iterations (1–100), context_window_tokens (4096–1M), model (non-empty str)
If tools.my.allow_set is false, check only

Related tools

Need	Use	Persists?
Per-session temp state	`my(action="set", key="...", value=...)`	No
Long-term facts	Memory skill (`MEMORY.md`, `USER.md`)	Yes
Permanent config change	Edit config file	Yes