shift

shift is a skill for Claude Code, Codex from saadshahd/moo.md. It costs 23 tokens per session (521 once invoked), scanned A, original, MIT.

A reframing skill that restates a stuck problem using the ideas and practices of a different field.

In plain words
What is it for?
Use it after a problem has been reconsidered several times in its original language without progress.
Why use it?
A problem can remain stuck when it is repeatedly described using the same terms, so a distant viewpoint may reveal another way forward.

Skill for Claude CodeCodex

Part of the hope plugin — 20 skills, 1 command, 3 hooks shipped together

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/saadshahd/moo.md/shift
Any agent
npx skills add saadshahd/moo.md --skill shift
Clone the repo
git clone --depth 1 https://github.com/saadshahd/moo.md

Made for: Claude Code, Codex.

Or install hope, the plugin that ships this one along with the rest of its 20 skills, 1 command, 3 hooks.

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 shift

README.md
[![agentmods](https://agentmods.dev/badge/skills/saadshahd/moo.md/shift.svg)](https://agentmods.dev/skills/saadshahd/moo.md/shift)
Your own site
<a href="https://agentmods.dev/skills/saadshahd/moo.md/shift"><img src="https://agentmods.dev/badge/skills/saadshahd/moo.md/shift.svg" alt="Measured on agentmods" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 521 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00023 $0.00521
Opus 5 $0.00012 $0.00260
Sonnet 5 $0.00005 $0.00104
Haiku 4.5 $0.00002 $0.00052

Measured 4d ago against content hash 02f4bcb48df9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

shift 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 4d ago.

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.

hope/skills/shift/SKILL.md · 42 lines

How it starts

The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Extract

From the conversation/context/user:

  • The problem as stated in its home vocabulary.
  • Its circling — the restatements already made in its own terms, and where each left it still not moving.

Gate

Proceed only when: the problem has circled — restated in its own terms more than once and still not moving.

Anything else, say which in one plain line — never shift anyway:

  • The question has a direct answer in its own vocabulary → answer it and proceed with what the answer settles; if the answer is something settled and the user shows they don't hold it → use explain skill.
  • The problem hasn't circled — stated once, not yet restated in its own terms → stop; shifting starts only after the home vocabulary has failed more than once.

Recast

Everything here, retry included, runs inside this one turn — nothing waits on the user.

  1. Pick a distant domain that lives with the same tension daily — distant enough that its words are not synonyms for yours. Prefer the domain that has been paying for this tension longest: its answers are old and tested.
  2. Restate the problem entirely in that domain's terms — no mixed vocabulary, every home term replaced.
  3. Test the mapping before delivering anything: if each borrowed term lands one-to-one on a home term, the shift bought nothing — a renaming, not movement. Pick a more distant domain and run the restatement and this test once more. If the second mapping is also one-to-one, the problem resists shifting — carry that verdict out as the result instead of a restatement.

Output

The restatement is the result — hand it back entirely in the distant domain's terms, with one line on what the borrowed terms expose that the home terms hid. Nothing more rides along: one restatement, one exposure line.

If the recasting ended with the problem resisting shifting, hand back that verdict instead — name the domains tried, and let no restatement stand as movement when the test showed none.

Then check whether anything still unresolved would change what gets built:

Read the full file on GitHub · 42 lines

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. 4d ago First seen · 42 lines · 23 tokens per session scan A 02f4bcb48df9

Subscribe to this mod's changes

shift is a skill published in the GitHub repository saadshahd/moo.md (34 stars, last pushed 18d ago), licensed MIT. It adds 23 tokens to every session and 521 once invoked, about $0.0001 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.

Related

Other skills, from other repositories

lark-sheets

飞书电子表格:创建和操作电子表格。支持创建表格、管理工作表与行列结构(增删/合并/调整尺寸/隐藏/冻结)、读写单元格(值/公式/样式/批注/单元格图片)、查找替换、多操作原子批量更新,以及图表、透视表、条件格式、筛选器、迷你图、浮动图片等对象的创建与维护。当用户需要创建电子表格、管理工作表、批量读写或编辑数据、统计汇总与可视化、表格美化、公式计算(含 Excel 公式迁移)、金融/财务建模(DCF、三张表、预算、Sensitivity 等)等任务时使用。若用户是想按名称或关键词搜索云空间(云盘/云存储)里的表格文件,请改用 lark-drive 的 drive +search 先定位资源。当用户给出 doubao.com 的…

DropFan/claude-code-plugins · 259 tokens

lark-slides

飞书幻灯片:创建和编辑幻灯片。创建演示文稿、读取幻灯片内容、管理幻灯片页面(创建、删除、读取、局部替换)。当用户需要创建或编辑幻灯片、读取或修改单个页面时使用。当用户给出 doubao.com 的 /slides/ URL/token 时,也应直接使用本 skill,不要因为域名不是飞书而回退到 WebFetch;路由依据是 URL 路径模式和 token,而不是域名。不负责:云文档内容编辑(走 lark-doc)、云文档里的独立画板对象(走 lark-whiteboard)、上传或下载普通文件(走 lark-drive)。.

DropFan/claude-code-plugins · 156 tokens

lark-vc-agent

飞书视频会议会中能力:用于让应用机器人真实加入或离开正在进行的会议,并读取当前身份可见的会中事件、发送会中文本消息或会中表情。适用于用户询问正在开的会议发生了什么、谁在发言、是否共享内容,或需要发现当前可读的进行中会议 ID。不负责已结束会议搜索、参会人快照、纪要、逐字稿或录制查询,这些使用 lark-vc 技能。.

DropFan/claude-code-plugins · 114 tokens

lark-vc

飞书视频会议:搜索历史会议记录、查询会议纪要(总结/待办/章节/逐字稿)、查询参会人快照。当用户查询已结束的会议、获取会议产物(纪要/妙记)、查看参会人时使用;查询未来日程走 lark-calendar。不负责:Agent 真实入会/离会、会中实时事件(走 lark-vc-agent)。.

DropFan/claude-code-plugins · 95 tokens

session-recap

Document Claude Code sessions by extracting knowledge into cross-referenced documentation. Triggers on "recap the session", "summarize the work", or after significant code changes.

sxhmilyoyo/sundayhao-plugins · 39 tokens

lark-minutes

飞书妙记:搜索妙记、查看妙记基础信息、下载/上传音视频、读取或编辑妙记的产物内容、改标题、替换说话人/关键词、申请妙记查看/编辑权限。当给出minutetoken、本地音视频文件,要查/改/转妙记产物,或用户明确要主动申请妙记权限时使用;本地音视频转纪要/逐字稿优先走本 skill,不要用 ffmpeg/whisper 本地转写。不负责:获取会议关联妙记,或仅按自然语言标题定位纪要.

DropFan/claude-code-plugins · 133 tokens