okr-skill

okr-skill is a skill for Claude Code, Codex from peterfei/forge-skill. It costs 70 tokens per session (5,809 once invoked), scanned A, original, MIT.

A goal-setting framework called OKR, short for Objectives and Key Results. An Objective states what you want to achieve, while Key Results are measurable signs of progress.

In plain words
What is it for?
Use it for quarterly planning, choosing priorities, measuring progress, aligning teams, and clarifying what success should look like.
Why use it?
It turns broad intentions into a small number of trackable goals and helps teams see whether their work is moving in the same direction.

Skill for Claude CodeCodex

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/peterfei/forge-skill/okr-skill
Any agent
npx skills add peterfei/forge-skill --skill okr-skill
Clone the repo
git clone --depth 1 https://github.com/peterfei/forge-skill

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 okr-skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/peterfei/forge-skill/okr-skill.svg)](https://agentmods.dev/skills/peterfei/forge-skill/okr-skill)
Your own site
<a href="https://agentmods.dev/skills/peterfei/forge-skill/okr-skill"><img src="https://agentmods.dev/badge/skills/peterfei/forge-skill/okr-skill.svg" alt="Measured on agentmods" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,809 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 $0.00070 $0.05809
Opus 5 $0.00035 $0.02905
Sonnet 5 $0.00014 $0.01162
Haiku 4.5 $0.00007 $0.00581

Measured 4d ago against content hash ac0748f941e9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

okr-skill 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.

methods/okr-skill/SKILL.md · 281 lines

How it starts

The opening of the file, as written. The whole thing — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OKR(Objectives and Key Results)· 思维工具

聚焦少数要事,用量化结果衡量进展,让组织上下对齐到同一个方向。

激活条件与触发词

直接调用

  • 「用 OKR 分析...」
  • 「帮我设定季度 OKR」
  • 「用目标与关键结果框架...」

语义触发

  • 用户讨论「目标管理」「团队对齐」「季度规划」
  • 用户需要「衡量目标进展」「设定挑战性目标」
  • 用户描述「目标太多不知道聚焦什么」「团队方向不一致」

组合调用

  • 「先用商业模式画布明确方向,再用 OKR 设定季度目标」
  • 「结合 Kaizen 的改善方向和 OKR 的目标框架」

方法框架概览

OKR 的核心是将模糊的愿望转化为可量化、可追踪、可对齐的结构化目标体系。它通过6个原理来帮助组织和个人聚焦少数要事、设定挑战性目标、保持透明对齐、高频追踪进展,并将目标管理与绩效薪酬解耦以避免博弈行为。

核心原理(6个,每个须附 ≥2 个跨域证据)

原理 1: 聚焦少数要事——精力集中在 3-5 个最重要的目标上

一句话定义:将精力集中在 3-5 个最重要的目标上,而非分散追求所有事。

跨域证据

  1. 企业管理(Intel):1980 年代 Motorola 68000 和 Zilog Z80 蚕食 Intel 市场,Andy Grove 运用 OKR 将全公司聚焦到单一核心目标"击败 Motorola",配合 2000 个设计订单等关键结果,成功逆转局势。(来源:John Doerr, whatmatters.com Operation Crush 回忆;OKR Institute 案例记录)
  2. 个人发展:个人 OKR 实践中同样遵循"3-5 个目标"限制,如将"成为更健康的人"作为唯一 Objective,配合 2-4 个 Key Result(每周运动 4 次、减重 15 磅),避免多目标失焦。(来源:whatmatters.com 个人 OKR 指南;Profit.co 个人 OKR 指南)

应用方式:每个周期(通常季度)设定不超过 5 个 Objective,每个 Objective 配合 2-4 个 Key Result,通过做减法强制排序。

局限:对需要多线并行的探索性工作不友好;过于严格的数量限制可能导致重要但非紧急事项被忽略。

原理 2: 可量化测量——关键结果必须是可量化的指标

一句话定义:关键结果必须是可量化的指标,而非模糊的愿望或行动清单。

跨域证据

  1. 科技(Google):Google 要求每个 Key Result 必须有明确数字目标并能被评分(0-1.0)。不是"改善搜索质量",而是"将搜索延迟降低 40ms"。Larry Page 和 Sergey Brin 自 1999 年采纳 OKR 后坚持此原则。(来源:Google re:Work 官方指南;GV Library "How Google Sets Goals: OKRs")
  2. 医疗(医院管理):医疗机构将"改善患者治疗效果"转化为可量化的 Key Result,如"30 天再入院率降低 15%"、"医疗错误事件减少 20%",使临床团队精确追踪进展。(来源:Workpath Healthcare OKR 示例;Profit.co 医疗 OKR 示例)

应用方式:每个 Key Result 使用具体数字和截止时间,遵循"从 X 到 Y"格式,季度末用 0-1.0 分评分。

局限:并非所有有价值的工作都能被量化(如创意产出、文化建设);过度追求可量化可能导致"可测量但不重要"取代"重要但难测量"。

原理 3: 挑战性目标与安全失败——设定 60-70% 完成率的雄心目标

一句话定义:设定只有 60-70% 完成率的雄心目标,将未达 100% 视为正常而非失败。

跨域证据

  1. 组织心理学:Locke & Latham 在 90% 的研究中发现,具体且具有挑战性的目标比"尽力而为"产生更高绩效。但哈佛商学院 Ordóñez 等人("Goals Gone Wild")也警告过度激进目标可能导致不道德行为。(来源:Locke & Latham, 2002, 斯坦福论文;Ordóñez et al., HBS Working Paper 09-083)
  2. 科技(Google):Google 明确规定"理想区间"为 60-70% 完成率,"低于此区间可能意味着组织没有充分实现其能力;高于此区间可能意味着雄心目标不够激进"。(来源:Google re:Work;John Doerr, whatmatters.com 评分指南)

Read the full file on GitHub · 281 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 · 281 lines · 70 tokens per session scan A ac0748f941e9

Subscribe to this mod's changes

okr-skill is a skill published in the GitHub repository peterfei/forge-skill (13 stars, last pushed 2mo ago), licensed MIT. It adds 70 tokens to every session and 5,809 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 2026-08-30.

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