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.
npx skills add natea/ExoMind --skill quarterly-reviewgit clone --depth 1 https://github.com/natea/ExoMindWrote 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.
[](https://agentmods.dev/skills/natea/exomind/quarterly-review)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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"
}
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.
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.
- 6d ago First seen · 770 lines · 0 tokens per session scan A 031876f6a214
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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