okr

okr is a skill for Claude Code from Dannykkh/skill-olympus. It costs 59 tokens per session (1,500 once invoked), scanned A, original, MIT.

A system for setting and managing OKRs, which are goals paired with measurable results. It supports quarterly goal setting, progress reviews, and end-of-quarter retrospectives.

In plain words
What is it for?
Use it to define quarterly objectives, set key results, review progress, and run a retrospective at the end of a quarter.
Why use it?
It helps turn broad plans into a small set of measurable targets and keeps progress visible over a quarter. It also provides a structured way to assess what was achieved.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the skill-olympus plugin — 98 skills, 7 commands, 42 agents, 5 MCP servers shipped together

Good fit Use it to define quarterly objectives, set key results, review progress, and run a retrospective at the end of a quarter.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dannykkh/skill-olympus/okr
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 Dannykkh/skill-olympus --skill okr
Clone the repo
git clone --depth 1 https://github.com/Dannykkh/skill-olympus

Made for: Claude Code.

Or install skill-olympus, the plugin that ships this one along with the rest of its 98 skills, 7 commands, 42 agents, 5 MCP servers.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/dannykkh/skill-olympus/okr.svg)](https://agentmods.dev/skills/dannykkh/skill-olympus/okr)
Your own site
<a href="https://agentmods.dev/skills/dannykkh/skill-olympus/okr"><img src="https://agentmods.dev/badge/skills/dannykkh/skill-olympus/okr.svg" alt="Measured on agentmods" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,500 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 $0.00059 $0.01500
Opus 5 $0.00030 $0.00750
Sonnet 5 $0.00012 $0.00300
Haiku 4.5 $0.00006 $0.00150

Measured 4d ago against content hash d1f5e61ea6d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

okr 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.

skills/okr/SKILL.md · 196 lines

How it starts

The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OKR — 목표와 핵심결과

분기별 Objectives(목표)와 Key Results(핵심결과)를 설정하고 추적합니다.

Quick Start

/okr                        # 새 OKR 설정
/okr review                 # 기존 OKR 진행률 확인
/okr retro                  # 분기 회고

공식 호출명: /okr (별칭: 목표 설정, 분기 계획)


CRITICAL: First Actions

1. Print Intro

OKR — 목표와 핵심결과 설정
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
모드: Set (설정) / Review (점검) / Retro (회고)

2. 모드 결정

모드 조건 동작
Set docs/okr/ 없거나 새 분기 새 OKR 설정
Review docs/okr/current.md 있음 진행률 업데이트
Retro 분기 종료 시 달성률 평가 + 회고

Mode: Set (새 OKR 설정)

Step 1: 컨텍스트 수집

현재 CLI의 질문 방식으로 확인:

question: "이번 분기(Q?)의 핵심 목표가 뭔가요?"
header: "OKR 설정"

기존 산출물 참조 (있으면, archive/ 경로 제외):

  • docs/hermes/*.md → 사업 분석에서 목표 도출
  • docs/plan/*/spec.md → 기술 계획에서 목표 도출

Step 2: Objectives 설정

규칙:

  • 2~4개 Objective (너무 많으면 집중력 분산)
  • 정성적, 영감을 주는 문장
  • "무엇을 달성할 것인가" (측정 방법은 KR에서)
O1: {영감을 주는 목표}
O2: {영감을 주는 목표}
O3: {영감을 주는 목표}

Step 3: Key Results 설정

각 Objective에 2~4개 Key Result:

규칙:

  • 정량적, 측정 가능해야 함
  • "어떻게 달성 여부를 알 수 있는가"
  • 0~100% 또는 구체적 수치 목표
O1: {목표}
  KR1: {지표} {현재값} → {목표값}
  KR2: {지표} {현재값} → {목표값}
  KR3: {지표} {현재값} → {목표값}

Step 4: 신뢰도 체크

각 KR에 달성 가능성 점수:

점수 의미
0.3 야심적 (stretch goal)
0.5 도전적이지만 가능
0.7 충분히 달성 가능
1.0 너무 쉬움 (목표 상향 필요)

이상적인 분포: 대부분 0.5~0.7

Step 5: 파일 저장

출력: docs/okr/current.md

# OKR — {YYYY} Q{N}

## 기간
{시작일} ~ {종료일}

## Objectives & Key Results

### O1: {목표}
| # | Key Result | 현재 | 목표 | 진행률 | 신뢰도 |
|---|-----------|------|------|--------|--------|
| KR1 | {핵심결과} | {현재} | {목표} | 0% | 0.5 |
| KR2 | {핵심결과} | {현재} | {목표} | 0% | 0.7 |

### O2: {목표}
| # | Key Result | 현재 | 목표 | 진행률 | 신뢰도 |
|---|-----------|------|------|--------|--------|
| KR1 | ... | ... | ... | 0% | ... |

## 전체 진행률: 0%

Mode: Review (진행률 점검)

docs/okr/current.md를 읽고:

  1. 각 KR의 현재 상태를 현재 CLI의 질문 방식으로 확인
  2. 진행률 업데이트
  3. 위험 KR 식별 (진행률 < 기대 진행률)

Read the full file on GitHub · 196 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 · 196 lines · 59 tokens per session scan A d1f5e61ea6d0

Subscribe to this mod's changes

okr is a skill published in the GitHub repository Dannykkh/skill-olympus (5 stars, last pushed yesterday), licensed MIT. It adds 59 tokens to every session and 1,500 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 2026-09-03.