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 krishagel/geoffrey --skill personal-strategic-planninggit clone --depth 1 https://github.com/krishagel/geoffreyWrote 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/krishagel/geoffrey/personal-strategic-planning)<a href="https://agentmods.dev/skills/krishagel/geoffrey/personal-strategic-planning"><img src="https://agentmods.dev/badge/skills/krishagel/geoffrey/personal-strategic-planning/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/krishagel/geoffrey/personal-strategic-planning"><img src="https://agentmods.dev/badge/skills/krishagel/geoffrey/personal-strategic-planning.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 | $0.00024 | $0.04956 |
| Opus 5 | $0.00012 | $0.02478 |
| Sonnet 5 | $0.00005 | $0.00991 |
| Haiku 4.5 | $0.00002 | $0.00496 |
Grade A, and why
personal-strategic-planning 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 11d 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 — 590 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Personal Strategic Planning Skill
Annual strategic review and goal-setting system combining interview-driven planning with evidence-based reflection across five personal life/work domains.
Note: For organizational/K-12 district strategic planning, use the
strategic-planning-managerskill instead.
When to Activate
This skill activates when the user requests:
Annual Review (Primary Mode):
- "Let's do my annual review"
- "Help me plan for [year]"
- "I want to do strategic planning"
- "Set goals for next year"
Quarterly Check-In (Lighter Mode):
- "Quarterly check-in"
- "Review my progress"
- "How am I tracking against my goals?"
Domain Modes: Each review covers 5 domains:
- CIO Role (day job - Technology, Communications, Safety/Security)
- Consulting/Speaking (reputation building, CoSN board, conferences)
- Product Development (AI products: voice app, survey tool)
- Real Estate Investing (portfolio management)
- Financial Planning (entrepreneurial income, retirement prep)
Available Scripts
scripts/generate_annual_review.py
Generates formatted annual review markdown file in Obsidian.
Usage:
uv run scripts/generate_annual_review.py '{json_data}' --year 2026
Input: JSON with interview data (all domains, goals, indicators)
Output: Markdown file at Personal_Notes/Reviews/Annual/{YEAR}-Annual-Review.md
scripts/generate_quarterly_review.py
Generates quarterly check-in markdown file in Obsidian.
Usage:
uv run scripts/generate_quarterly_review.py '{json_data}' --year 2026 --quarter Q1
Input: JSON with progress data per domain
Output: Markdown file at Personal_Notes/Reviews/Quarterly/{YEAR}-Q{N}-Review.md
scripts/sync_to_omnifocus.js
Creates OmniFocus projects and tasks from Priority Goals.
Usage:
osascript -l JavaScript scripts/sync_to_omnifocus.js '{json_data}'
Input: JSON with goals, indicators, actions, milestones Output: OmniFocus projects created, returns confirmation JSON
What ships with it
5 files 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.
- 11d ago First seen · 590 lines · 24 tokens per session scan A e60f1fe274ec
personal-strategic-planning is a skill published in the GitHub repository krishagel/geoffrey (5 stars, last pushed 6mo ago), licensed MIT. It adds 24 tokens to every session and 4,956 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 2026-08-31.
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