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 agentmods add skills/ramybarsoum/prodkit/prioritizenpx skills add ramybarsoum/prodkit --skill prioritizegit clone --depth 1 https://github.com/ramybarsoum/prodkitWrote 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/ramybarsoum/prodkit/prioritize)<a href="https://agentmods.dev/skills/ramybarsoum/prodkit/prioritize"><img src="https://agentmods.dev/badge/skills/ramybarsoum/prodkit/prioritize.svg" alt="Measured on agentmods" 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 | $0.00027 | $0.00294 |
| Opus 5 | $0.00014 | $0.00147 |
| Sonnet 5 | $0.00005 | $0.00059 |
| Haiku 4.5 | $0.00003 | $0.00029 |
Grade A, and why
prioritize 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 3d 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.
What it actually says
Interaction style: Use the
AskUserQuestiontool for all structured questions in this skill. Group related questions together (2-3 per call) rather than asking one at a time.
Task Prioritization: LNO Framework
When to use: When overwhelmed with tasks, during weekly planning, or when feeling busy but not productive
Framework source: Shreyas Doshi's LNO Framework (popularized by Aakash Gupta)
Quick Start
- Paste your task list (calendar, to-do list, or just describe your week)
- I will classify each task as L (Leverage/10x), N (Neutral/1x), or O (Overhead/<1x)
- I will calculate your L/N/O time distribution and compare to the healthy target (40/35/20)
- I will suggest specific tasks to eliminate, delegate, or timebox
- Output: a prioritized weekly plan with calendar blocking recommendations
Healthy target: 40-50% Leverage, 30-40% Neutral, 10-20% Overhead. If Leverage is below 30%, something is wrong.
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.
- 3d ago First seen · 27 lines · 27 tokens per session scan A 0ed5e2907202
prioritize is a skill published in the GitHub repository ramybarsoum/prodkit (4 stars, last pushed 4mo ago), licensed MIT. It adds 27 tokens to every session and 294 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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