quarterly-review

quarterly-review is a skill for Claude Code, Codex from natea/ExoMind. It costs 0 tokens per session (5,944 once invoked), scanned A, original, MIT.

A quarterly review workflow for looking back over 90 days, checking progress against OKRs, and planning the next three months. OKRs are goals paired with measurable results.

In plain words
What is it for?
Reviewing a quarter, comparing life-area assessments, scoring goals, finding recurring themes, and setting the next quarter's focus.
Why use it?
It connects monthly progress and life assessments so longer-term patterns and needed changes are easier to see.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Reviewing a quarter, comparing life-area assessments, scoring goals, finding recurring themes, and setting the next quarter's focus.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/natea/exomind/quarterly-review
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 natea/ExoMind --skill quarterly-review
Clone the repo
git clone --depth 1 https://github.com/natea/ExoMind

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 quarterly-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/natea/exomind/quarterly-review/github.svg)](https://agentmods.dev/skills/natea/exomind/quarterly-review)
Your own site
<a href="https://agentmods.dev/skills/natea/exomind/quarterly-review"><img src="https://agentmods.dev/badge/skills/natea/exomind/quarterly-review/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 quarterly-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/natea/exomind/quarterly-review"><img src="https://agentmods.dev/badge/skills/natea/exomind/quarterly-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,944 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 $0.00000 $0.05944
Opus 5 $0.00000 $0.02972
Sonnet 5 $0.00000 $0.01189
Haiku 4.5 $0.00000 $0.00594

Measured 6d ago against content hash 031876f6a214, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

quarterly-review 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 6d 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/quarterly-review/SKILL.md · 770 lines

How it starts

The opening of the file, as written. The whole thing — 770 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Quarterly Review Skill

Purpose

Conduct comprehensive 90-day retrospectives, score OKRs, identify patterns, and plan the next quarter with strategic focus.

When to Use This Skill

  • End of each quarter (March, June, September, December)
  • Major life transitions or changes
  • Before setting new strategic goals
  • When needing big-picture perspective
  • Evaluating multi-month progress

Core Functions

1. Three-Month Retrospective

Synthesize all monthly reviews from the quarter:

# Gather monthly reviews
cat memory/monthly/2025-01.md
cat memory/monthly/2025-02.md
cat memory/monthly/2025-03.md

# Extract key themes
grep -E "^## (Wins|Challenges|Lessons)" memory/monthly/2025-*.md

# Identify patterns
grep -E "^- \*\*" memory/monthly/2025-*.md | sort | uniq -c | sort -rn

2. Life Assessment Integration

Link to latest comprehensive life assessment:

# Find most recent life assessment
ls -lt memory/assessments/*.md | head -1

# Extract scores and insights
grep -E "^### (Career|Health|Relationships|Personal Growth|Finance|Environment)" \
  memory/assessments/2025-Q1.md

# Compare to previous quarter
diff memory/assessments/2024-Q4.md memory/assessments/2025-Q1.md

3. OKR Scoring

Score all quarterly OKRs on 0.0-1.0 scale:

Scoring Guide:

  • 0.0-0.3: Failed - Did not make meaningful progress
  • 0.4-0.6: Partial Success - Made progress but fell short
  • 0.7-0.9: Success - Achieved most of the objective
  • 1.0: Complete Success - Exceeded expectations

OKR Structure:

{
  "quarter": "2025-Q1",
  "objectives": [
    {
      "id": "O1",
      "objective": "Launch new product feature",
      "keyResults": [
        {
          "kr": "KR1: Ship MVP to 100 beta users",
          "target": 100,
          "actual": 87,
          "score": 0.87,
          "notes": "Strong start, slightly behind target"
        },
        {
          "kr": "KR2: Achieve 4.5+ average rating",
          "target": 4.5,
          "actual": 4.7,
          "score": 1.0,
          "notes": "Exceeded expectations, users love it"
        },
        {
          "kr": "KR3: Generate $10k MRR",
          "target": 10000,
          "actual": 6500,
          "score": 0.65,
          "notes": "Good traction but conversion needs work"
        }
      ],
      "overallScore": 0.84,
      "status": "success"
    },
    {
      "id": "O2",
      "objective": "Improve health and fitness",
      "keyResults": [
        {
          "kr": "KR1: Exercise 4x per week",
          "target": 48,
          "actual": 52,
          "score": 1.0,
          "notes": "Consistent routine established"
        },
        {
          "kr": "KR2: Reduce weight by 10 lbs",
          "target": 10,
          "actual": 7,
          "score": 0.7,
          "notes": "Good progress, sustainable pace"
        },
        {
          "kr": "KR3: Complete 5k race",
          "target": 1,
          "actual": 1,
          "score": 1.0,
          "notes": "Completed with personal best time"
        }
      ],
      "overallScore": 0.90,
      "status": "success"
    }
  ],
  "quarterScore": 0.87,
  "quarterGrade": "A"
}

Read the full file on GitHub · 770 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 6d ago First seen · 770 lines · 0 tokens per session scan A 031876f6a214

Subscribe to this mod's changes

quarterly-review is a skill published in the GitHub repository natea/ExoMind (21 stars, last pushed 10mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 5,944 tokens. 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.

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