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 openscientist-io/openscientist --skill prioritizationgit clone --depth 1 https://github.com/openscientist-io/openscientistWrote 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/openscientist-io/openscientist/prioritization)<a href="https://agentmods.dev/skills/openscientist-io/openscientist/prioritization"><img src="https://agentmods.dev/badge/skills/openscientist-io/openscientist/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/openscientist-io/openscientist/prioritization"><img src="https://agentmods.dev/badge/skills/openscientist-io/openscientist/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 | $0.00015 | $0.01291 |
| Opus 5.5 | $0.00006 | $0.00516 |
| Sonnet 5.5 | $0.00003 | $0.00258 |
| Haiku 4.5 | $0.00002 | $0.00129 |
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 14d 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 — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prioritization
When to Use This Skill
- When you have multiple hypotheses and need to choose which to test first
- When you're deciding between exploring new areas vs deepening current investigation
- When iteration budget is running low and you need to focus
The Core Question
"What will provide the most scientific insight right now?"
Prioritization Framework
Option 1: Test a Hypothesis
Pick the hypothesis that bears most directly on the research question, can be tested with the data at hand, and would be informative whether the result is positive or negative. Test it first.
Option 2: Explore Data
When to prioritize exploration:
- ✅ Early iterations (< 10% of budget)
- ✅ You're stuck and need fresh ideas
- ✅ Current hypotheses are all low-priority
- ✅ You haven't looked at key variable types yet
When NOT to explore:
- ❌ Late iterations (> 80% of budget)
- ❌ You have high-priority hypotheses ready to test
- ❌ You're avoiding testing a difficult hypothesis
Option 3: Search Literature
When to prioritize literature:
- ✅ Before testing a hypothesis (to inform design)
- ✅ After unexpected result (to understand mechanism)
- ✅ When hypothesis was rejected (to generate alternatives)
- ✅ Early iterations (build knowledge foundation)
When NOT to search:
- ❌ As procrastination (avoiding analysis)
- ❌ Late iterations when you should be synthesizing
- ❌ You already searched this topic
Option 4: Record/Synthesize Findings
When to prioritize synthesis:
- ✅ You've confirmed a finding but haven't recorded it
- ✅ Late iterations (> 70% of budget)
- ✅ You have 3+ findings that might be related
- ✅ You're approaching iteration limit
When NOT to synthesize:
- ❌ Early iterations (too early to connect dots)
- ❌ You only have 1-2 isolated findings
- ❌ High-priority hypotheses remain untested
Decision Tree
START: What should I do next?
│
├─> Do I have unrecorded findings?
│ YES → Record them now
│ NO → Continue
│
├─> Do I have a promising, testable hypothesis?
│ YES → Test highest-scoring hypothesis
│ NO → Continue
│
├─> Is this early in investigation (<20% iterations)?
│ YES → Explore data OR search literature
│ NO → Continue
│
├─> Am I stuck or confused?
│ YES → Search literature for mechanisms
│ NO → Continue
│
├─> Is this late in investigation (>70% iterations)?
│ YES → Synthesize findings, test remaining high-priority hypotheses
│ NO → Continue
│
└─> Default: Generate new hypotheses OR explore unexplored data
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.
- 14d ago Changed · -19 lines b14b8092e2c5
- 2mo ago First seen · 222 lines · 15 tokens per session scan A 4c6659c784fa
prioritization is a skill published in the GitHub repository openscientist-io/openscientist (63 stars, last pushed yesterday), licensed Apache-2.0. It adds 15 tokens to every session and 1,291 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
prioritization compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| prioritizationopenscientist-io/openscientist | Skill | 63 | yesterday | Apache-2.0 | A | 15 | Claude Code, Codex |
| html-ppt-hermes-cyber-terminalnexu-io/open-design | Skill | 106k | today | Apache-2.0 | A | 53 | Claude Code, Codex |
| developmentfengshao1227/ccg-workflow | Skill | 6.0k | 4d ago | MIT | A | 41 | Claude Code |
| debugging-executionsn8n-io/n8n | Skill | 210k | yesterday | none | A | 86 | Claude Code, Codex |
| tencent-docsUnicomAI/wanwu | Skill | 2.4k | 14d ago | Apache-2.0 | A | 209 | Claude Code, Codex |
| wechat-searchUnicomAI/wanwu | Skill | 2.4k | 14d ago | Apache-2.0 | A | 30 | Claude Code, Codex |
| flow-next-tracker-syncgmickel/flow-next | Skill | 717 | yesterday | MIT | A | 44 | Claude Code, Codex |