favorites-manager

favorites-manager is a skill for Claude Code, Codex from chuancyzhang/deepseek-cowork. It costs 65 tokens per session (558 once invoked), scanned A, original, Apache-2.0.

A manager for saved prompts and reusable combinations of capabilities, with optional scheduling and run-history tracking.

In plain words
What is it for?
Saving, inspecting, updating, scheduling, running, and removing favorite workflows.
Why use it?
It removes the need to recreate recurring instructions and workflows each time.

Skill for Claude CodeCodex

Written for Claude Code and Codex: allowed-tools in frontmatter, but also agents/openai.yaml present.

Good fit Saving, inspecting, updating, scheduling, running, and removing favorite workflows.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/chuancyzhang/deepseek-cowork/favorites-manager
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 chuancyzhang/deepseek-cowork --skill favorites-manager
Clone the repo
git clone --depth 1 https://github.com/chuancyzhang/deepseek-cowork

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 favorites-manager

README.md
[![agentmods](https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/favorites-manager/github.svg)](https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/favorites-manager)
Your own site
<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/favorites-manager"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/favorites-manager/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.

agentmods 80×15 button for favorites-manager

Your own site · 80×15
<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/favorites-manager"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/favorites-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 558 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 $0.00065 $0.00558
Opus 5.5 $0.00026 $0.00223
Sonnet 5.5 $0.00013 $0.00112
Haiku 4.5 $0.00006 $0.00056

Measured 1mo ago against content hash 757d03d0c9f9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

favorites-manager 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 1mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (impl.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/favorites-manager/SKILL.md · 39 lines

What it actually says

常用库管理

用这些工具管理用户可复用的工作模式。常用项是主体,定时运行只是每个常用项上的可选附加能力。

操作顺序

  1. 当前配置不明确时,先调用 list_favorites。
  2. 创建或修改提示词、能力组合、执行位置时,调用 upsert_favorite。
  3. 只调整附加计划时,调用 configure_favorite_schedule。
  4. 用户要求开始工作时,调用 launch_favorite;不要自行复述提示词来模拟启动。
  5. 删除前调用 delete_favorite,并遵循工具发起的确认流程。

字段规则

  • prompt 与 skill_names 至少提供一个,可以分别保存,也可以组合保存。
  • execution_mode="chat" 时不要填写或推断 workspace_dir;聊天不会携带项目工作区。
  • execution_mode="workspace" 时必须使用已经存在的项目目录。
  • 每个常用项最多一个 schedule。
  • schedule.delivery 只能引用桌面端通过一次性绑定码创建的 binding_id;不要生成或猜测绑定 ID。用户尚未绑定时,引导其在常用编辑器中完成绑定。
  • 没有常用提示词的能力组合若要定时运行,计划必须使用 prompt_mode="custom" 并提供 custom_prompt。
  • 定时计划继承常用项的能力组合和执行位置,不单独存储 Agent、模型或附件。
  • 新计划默认暂停;只有用户明确要求启用时才设 enabled=true。

安全边界

  • 启动和删除会请求用户确认。
  • 配置失败时直接说明具体无效字段;不要替换工作区、能力或计划参数。
  • 计划依赖桌面应用运行;应用关闭期间错过的触发只记录为已错过,不补跑。
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.

  1. 1mo ago First seen · 39 lines · 65 tokens per session scan A 757d03d0c9f9

Subscribe to this mod's changes

favorites-manager is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 65 tokens to every session and 558 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-04.

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