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 glebis/claude-skills --skill decision-toolkitgit clone --depth 1 https://github.com/glebis/claude-skillsWrote 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/glebis/claude-skills/decision-toolkit)<a href="https://agentmods.dev/skills/glebis/claude-skills/decision-toolkit"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/decision-toolkit/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/glebis/claude-skills/decision-toolkit"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/decision-toolkit.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 | $0.00043 | $0.02376 |
| Opus 5 | $0.00022 | $0.01188 |
| Sonnet 5 | $0.00009 | $0.00475 |
| Haiku 4.5 | $0.00004 | $0.00238 |
Grade A, and why
decision-toolkit 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 12d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- decision-toolkit — 100% identical, 0 lines differ
- decision-toolkit — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 360 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Decision Toolkit
Overview
Create structured decision support materials that help humans think through significant choices systematically. This skill produces interactive tools, not just analysis — empowering the decision-maker rather than deciding for them.
Philosophy
Principles
- Guide, don't decide — Tools illuminate the decision space; humans choose
- One thing at a time — Reduce cognitive load through progressive disclosure
- Multiple lenses — Same decision viewed through different frameworks reveals blind spots
- Biases visible — Make cognitive biases explicit and checkable
- Actionable output — End with concrete next steps, not abstract conclusions
Accessibility First
- Support screen readers (semantic HTML, ARIA labels)
- Keyboard navigable (tab order, focus states)
- High contrast by default (WCAG AA minimum)
- Reduced motion option
- Works without JavaScript (graceful degradation)
- Mobile-friendly touch targets (44px minimum)
Cognitive Inclusivity
Different people process decisions differently:
| Style | Accommodation |
|---|---|
| Analytical | Numbers, matrices, weighted scores |
| Intuitive | Gut-check prompts, "how does this feel?" |
| Visual | Diagrams, progress bars, color coding |
| Verbal | Written summaries, question prompts |
| Sequential | Step-by-step wizard flow |
| Global | Dashboard overview option |
When to Use
Invoke this skill when user faces:
- Collaboration/partnership decisions
- Career or job changes
- Investment of significant time/money
- Project prioritization
- Technology/tool selection
- Any choice with multiple factors and uncertainty
Not for: Trivial decisions, emergency responses, or when user just needs information.
Decision Types
Type 1: Opportunity Evaluation
Should I pursue this opportunity?
- Partnership, job offer, investment, project
Type 2: Resource Allocation
Where should I invest my time/money/attention?
- Prioritization, budgeting, focus areas
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.
- 12d ago First seen · 360 lines · 43 tokens per session scan A a1624df67a3f
decision-toolkit is a skill published in the GitHub repository glebis/claude-skills (375 stars, last pushed 10d ago), licensed MIT. It adds 43 tokens to every session and 2,376 once invoked, about $0.0002 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 2026-08-30.
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