okr-draft

okr-draft is a command for Claude Code from Amey-Thakur/AI-SKILLS. It costs 22 tokens per session (368 once invoked), scanned A, original, MIT.

An OKR-writing prompt for defining a directional objective and measurable key results with baselines and targets. OKRs are goals paired with evidence of progress.

In plain words
What is it for?
Use it to draft objectives, set realistic stretch targets, define guardrails, and check whether results represent the real goal.
Why use it?
It helps replace vague ambitions and task lists with outcomes that can be tracked without relying on vanity metrics.

Command for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Good fit Use it to draft objectives, set realistic stretch targets, define guardrails, and check whether results represent the real goal.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/amey-thakur/ai-skills/okr-draft
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.

Clone the repo
git clone --depth 1 https://github.com/Amey-Thakur/AI-SKILLS

Made for: Claude Code.

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-draft

README.md
[![agentmods](https://agentmods.dev/badge/commands/amey-thakur/ai-skills/okr-draft/github.svg)](https://agentmods.dev/commands/amey-thakur/ai-skills/okr-draft)
Your own site
<a href="https://agentmods.dev/commands/amey-thakur/ai-skills/okr-draft"><img src="https://agentmods.dev/badge/commands/amey-thakur/ai-skills/okr-draft/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 okr-draft

Your own site · 80×15
<a href="https://agentmods.dev/commands/amey-thakur/ai-skills/okr-draft"><img src="https://agentmods.dev/badge/commands/amey-thakur/ai-skills/okr-draft.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 368 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 $0.00022 $0.00368
Opus 5 $0.00011 $0.00184
Sonnet 5 $0.00004 $0.00074
Haiku 4.5 $0.00002 $0.00037

Measured 8d ago against content hash 9ca2fa4a42d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

okr-draft 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 8d 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.

commands/okr-draft.md · 39 lines

What it actually says

You were invoked as a slash command. The user's input:

$ARGUMENTS

Use that input to fill this prompt's variables (take the main content, topic, or task from it; ask only if a required value is missing and not supplied), then follow the prompt exactly.


Draft OKRs for: {goal}

Context: {context}

For the Objective:

  • Qualitative, memorable, and directional: what we want to achieve and why it matters. It should motivate, not measure ("Delight new users in their first week", not "Increase D7 retention").

For each Key Result (2-4 per objective):

  • Measurable and outcome-based: a number that proves the objective was met. "D7 retention from 35% to 50%" (an outcome), not "Ship the onboarding redesign" (a task: tasks are how you might move the KR, not the KR itself).
  • Ambitious but not impossible: a stretch that is uncomfortable, roughly 70%-achievable if things go well.
  • Include a baseline and a target so progress is trackable.

Rules: the most common OKR mistake is key results that are task lists or vanity metrics: keep them outcomes that would survive Goodhart (gaming the metric should not be possible without achieving the real goal). Include guardrails where a KR could be gamed at the cost of something else. Keep it to 1-2 objectives with 2-4 KRs each: more is unfocused. If a baseline is unknown, flag that measuring it is step zero.

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. 8d ago First seen · 39 lines · 22 tokens per session scan A 9ca2fa4a42d9

Subscribe to this mod's changes

okr-draft is a command published in the GitHub repository Amey-Thakur/AI-SKILLS (7 stars, last pushed 6d ago), licensed MIT. It adds 22 tokens to every session and 368 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 2026-09-03.