Atlas / Skills / mohitagw15856 / Okr Builder

Okr BuilderCAUTION

skills/mohitagw15856/okr-builder

1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in Anthropic's plugin directory. Plus a typed decision layer: which skill, is it safe, ship or slip. Free in-browser or npx pm-

Verdict
CAUTION
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
1,438
01

Overview

1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in Anthropic's plugin directory. Plus a typed decision layer: which skill, is it safe, ship or slip. Free in-browser or npx pm-

Read from source at commit 8d32d25aa3f5OBSERVED · 2026-10-12
02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: okr-builder
description: "Create well-structured OKRs (Objectives and Key Results) for product teams, startups, and individuals. Use when asked to write OKRs, set quarterly goals, define key results, or review existing OKRs. Produces a complete OKR set with objectives, measurable key results, baselines, and a scoring guide."
---

# OKR Builder Skill

Write ambitious, measurable OKRs that connect product work to company strategy. Avoid vanity metrics, output-focused key results, and objectives that sound like task lists.

## Reads from / Writes to the Brain

If a [`professional-brain`](../professional-brain/SKILL.md) (`brain/`) exists, ground in it instead of re-asking for what you already know:

- **Read first:** `context.md` (metric definitions), `knowledge/strategy.md` (where the product is going), and any open `hypotheses/`. Run `python3 ../professional-brain/scripts/brain_query.py ./brain "<objective theme>"` and carry each fact's provenance tag through — don't set a key result off a `[hunch]` as if it were `[data]`.
- **📥 Propose to the Brain:** after producing, propose logging the chosen objectives + KR targets as a `decisions/` record (the period's bet) and any new metric definitions to `knowledge/`, each provenance-tagged. Show them, get a yes, then write with `../professional-brain/scripts/brain_write.py ... --commit` (append-only, dry-run by default).

## Working from a brief

You will often get a short brief without every detail (no baselines, no exact numbers). **Always deliver a complete, specific OKR set anyway** — do not stop to ask questions and do not leave bracketed placeholders like `[target]`. Where a baseline or number is missing, infer a realistic value from the brief and the domain, and mark it *(assumed — confirm)*. A clearly-labelled assumed baseline (e.g. "activation 40% *(assumed)* → 60%") is always better than a blank or an invented-as-fact figure.

## Deeper Materials

- **`references/bad-okr-gallery.md`** — six realistic bad OKRs with diagnosis and rewrite (disguised roadmap, unfalsifiable objective, sandbagging, uncontrollable KR, metric zoo, missing guardrail), ending in a 5-question diagnostic. Use it when *reviewing* existing OKRs — match against the gallery before writing feedback.
- **`templates/okr-worksheet.md`** — a fill-in worksheet whose columns enforce the quality gates (baseline source, drift test, control test, guardrail) plus a pre-committed quarter-end scoring rubric. Offer it when a team wants to draft OKRs themselves.

## OKR Fundamentals

**Objective:** Qualitative, inspiring, time-bound. Answers "where are we going?"
**Key Result:** Quantitative, specific, measurable. Answers "how will we know we've arrived?"

### The Test for a Good KR
- Can it be scored 0.0–1.0 at the end of the period?
- Does it measure outcome, not output? ("Revenue from new customers increased by 30%" not "Launch 3 features")
- Is it ambitious but achievable? (Aim for 70% attainment as the gold standard)
- Is it within the team's control?

## Common OKR Anti-Patterns to Flag and Fix

| Anti-Pattern | Example | Better Version |
|---|---|---|
| Task masquerading as KR | "Launch onboarding redesign" | "New user activation rate increases from 42% to 65%" |
| Vanity metric | "Get 10,000 app downloads" | "30-day retention for new users reaches 40%" |
| Binary KR | "Ship API v2" | "API v2 adopted by 80% of active integrations" |
| Too many KRs | 6+ per objective | Max 3–4 KRs per objective |
| No baseline | "Improve NPS" | "NPS increases from 32 to 50" |

Always flag anti-patterns and offer a rewrite.

## Output Format

### [Quarter] OKRs — [Team/Product Area]

---

**Objective 1: [Inspiring, qualitative statement]**

*Why this matters:* [1–2 sentence strategic context]

| # | Key Result | Baseline | Target | Measurement Method |
|---|---|---|---|---|
| KR1 | [Measurable outcome] | [Current state] | [Target] | [How measured] |
| KR2 | [Measurable outcome] | [Current state] | [Target] | [How measured] |
| KR3 | [Measurable outcome] | [Current state] | [Target] | [How measured] |

*Owner:* [Name/Role]
*Check-in cadence:* Weekly

---

Repeat for each objective. Recommend 2–4 objectives per team per quarter.

## Scoring Guide to Include

At quarter end, score each KR:
- 0.7–1.0 = Excellent (0.7 is the "sweet spot" — if all KRs score 1.0, they weren't ambitious enough)
- 0.4–0.6 = Made progress but missed
- 0.0–0.3 = Missed — needs retrospective discussion

## Inputs (infer any not provided — label assumptions)

- **Team or individual** the OKRs are for
- **Quarter and year**
- **Company or product North Star metric** (OKRs should connect to this — if not given, infer a plausible one and label it *(assumed)*)
- **Top 3 priorities or goals for this quarter** (rough notes are fine)
- **Any existing OKRs to review or improve** (optional)

## Guidelines

- Connect OKRs to the company/product North Star; if it isn't given, infer a plausible one and label it *(assumed)* rather than asking
- Recommend no more than 3 objectives per team per quarter
- If user provides output-based goals, always reframe as outcomes
- Include a "health check" section flagging which KRs have no current baseline data
- Remind user: OKRs are not performance reviews — they should be ambitious enough that missing them is okay

## Scoring Rubric (0–40)

Score any output of this skill before handing it over; 32+ is ship-quality.

| Dimension | 0 | 5 | 10 |
|---|---|---|---|
| Outcome orientation | KRs are a shipped-feature task list ("launch X", "complete Y") | Mostly outcomes, but one or more KRs are outputs or binary ship/no-ship | Every KR is an outcome metric scorable 0.0–1.0 by degree of achievement |
| Baseline & measurability | No baselines or measurement methods; KRs cannot be scored at quarter end | Targets present but several baselines missing or unsourced, with no health-check flag | Every KR has baseline, target, and measurement method; missing data is flagged in a health check with a plan t
03

Trust audit

CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.

LayerWhat it checksResult
L0Provenance & inventoryWARN
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (5)

MEDIUMInventory / provenance · inv.symlink · CWE-1104
templates/pm-discovery-agent/skills/assumption-mapper/SKILL.md
templates/pm-discovery-agent/skills/assumption-mapper/SKILL.md
Why it matters. link not followed
MEDIUMInventory / provenance · inv.symlink · CWE-1104
templates/pm-discovery-agent/skills/discovery-interview-guide/SKILL.md
templates/pm-discovery-agent/skills/discovery-interview-guide/SKILL.md
Why it matters. link not followed
MEDIUMInventory / provenance · inv.symlink · CWE-1104
templates/pm-discovery-agent/skills/job-story-mapper/SKILL.md
templates/pm-discovery-agent/skills/job-story-mapper/SKILL.md
Why it matters. link not followed
MEDIUMInventory / provenance · inv.symlink · CWE-1104
templates/pm-discovery-agent/skills/user-interview-synthesis/SKILL.md
templates/pm-discovery-agent/skills/user-interview-synthesis/SKILL.md
Why it matters. link not followed
MEDIUMInventory / provenance · inv.symlink · CWE-1104
templates/pm-launch-agent/skills/content-calendar/SKILL.md
templates/pm-launch-agent/skills/content-calendar/SKILL.md
Why it matters. link not followed

Gates applied: no_behavioural_pass.

Audited 2026-10-12 · audit v0.4.1 · source sha 8d32d25aa3f5full audit observations/trust-audit/skill/mohitagw15856__okr-builder.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-128d32d25aa3f5CAUTIONB89first audit
05

Questions

What does the Okr Builder skill do?

1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in Anthropic's plugin directory. Plus a typed decision layer: which skill, is it safe, ship or slip. Free in-browser or npx pm-

Is Okr Builder safe to install?

With care. The audit graded it B (89/100) and found 5 things worth knowing before you trust this skill, listed below with the exact line each was found on.

What can Okr Builder access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (8d32d25aa3f5), read on 2026-10-12. The repository is watched, and a new audit runs when it changes — this is the first audit.

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