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 yonatangross/orchestkit --skill prioritizationgit clone --depth 1 https://github.com/yonatangross/orchestkitWrote 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/yonatangross/orchestkit/prioritization)<a href="https://agentmods.dev/skills/yonatangross/orchestkit/prioritization"><img src="https://agentmods.dev/badge/skills/yonatangross/orchestkit/prioritization/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/yonatangross/orchestkit/prioritization"><img src="https://agentmods.dev/badge/skills/yonatangross/orchestkit/prioritization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00053 | $0.01635 |
| Opus 5 | $0.00026 | $0.00817 |
| Sonnet 5 | $0.00011 | $0.00327 |
| Haiku 4.5 | $0.00005 | $0.00163 |
Grade A, and why
prioritization 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 — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prioritization Frameworks
Score, rank, and justify backlog decisions using the right framework for the situation.
Decision Tree: Which Framework to Use
Do you have a hard deadline or regulatory pressure?
YES → WSJF (Cost of Delay drives sequencing)
NO → Do you have reach/usage data?
YES → RICE (data-driven, accounts for user reach)
NO → Are you in a time-boxed planning session?
YES → ICE (fast, 1-10 scales, no data required)
NO → Is this a scope negotiation with stakeholders?
YES → MoSCoW (bucket features, control scope creep)
NO → Value-Effort Matrix (quick 2x2 triage)
| Framework | Best For | Data Required | Time to Score |
|---|---|---|---|
| RICE | Data-rich teams, steady-state prioritization | Analytics, user counts | 30-60 min |
| WSJF | SAFe orgs, time-sensitive or regulated work | Relative estimates only | 15-30 min |
| ICE | Startup speed, early validation, quick triage | None | 5-10 min |
| MoSCoW | Scope negotiation, release planning | Stakeholder input | 1-2 hours |
| Value-Effort | 2x2 visual, quick team alignment | None | 10-15 min |
RICE
RICE Score = (Reach × Impact × Confidence) / Effort
| Factor | Scale | Notes |
|---|---|---|
| Reach | Actual users/quarter | Use analytics; do not estimate |
| Impact | 0.25 / 0.5 / 1 / 2 / 3 | Minimal → Massive per user |
| Confidence | 0.3 / 0.5 / 0.8 / 1.0 | Moonshot → Strong data |
| Effort | Person-months | Include design, eng, QA |
## RICE Scoring: [Feature Name]
| Feature | Reach | Impact | Confidence | Effort | Score |
|-------------|--------|--------|------------|--------|--------|
| Smart search| 50,000 | 2 | 0.8 | 3 | 26,667 |
| CSV export | 10,000 | 0.5 | 1.0 | 0.5 | 10,000 |
| Dark mode | 30,000 | 0.25 | 1.0 | 1 | 7,500 |
See rules/prioritize-rice.md for ICE, Kano, and full scale tables.
What ships with it
7 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.
- 6d ago First seen · 187 lines · 53 tokens per session scan A 2eacdab30442
prioritization is a skill published in the GitHub repository yonatangross/orchestkit (229 stars, last pushed today), licensed MIT. It adds 53 tokens to every session and 1,635 once invoked, about $0.0003 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 2026-09-05.
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