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 jezweb/vite-flare-starter --skill compare-optionsgit clone --depth 1 https://github.com/jezweb/vite-flare-starterWrote 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/jezweb/vite-flare-starter/compare-options)<a href="https://agentmods.dev/skills/jezweb/vite-flare-starter/compare-options"><img src="https://agentmods.dev/badge/skills/jezweb/vite-flare-starter/compare-options/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/jezweb/vite-flare-starter/compare-options"><img src="https://agentmods.dev/badge/skills/jezweb/vite-flare-starter/compare-options.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 | $0.00044 | $0.00628 |
| Opus 5 | $0.00022 | $0.00314 |
| Sonnet 5 | $0.00009 | $0.00126 |
| Haiku 4.5 | $0.00004 | $0.00063 |
Grade A, and why
compare-options 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 9d 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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Compare Options
When to use
- "Compare X and Y"
- "Which is better, A or B?"
- "Help me choose between..."
- "What are the trade-offs of...?"
Steps
-
Identify the options and criteria:
- Options: what's being compared? If unclear, ask via
ask_questions. - Criteria: what matters to the user? Common ones: price, quality, speed, ease of use, support. If unclear, propose 3-5 via
ask_questions(multi-select).
- Options: what's being compared? If unclear, ask via
-
Research each option in parallel:
- For products/services:
web_searchfor reviews +browser_extracton official pages for specs - For technical choices:
web_researchskill on each option - For internal options: use information already in context
- For products/services:
-
Score each option against each criterion:
- Use specific values where possible (price, dates, sizes)
- Use boolean for present/absent features
- Use short text ("excellent", "limited", "good") for qualitative
- For a weighted ranking, don't do the arithmetic yourself — run
run_skill_scriptwith this skill and pathscripts/score.js, passing{"weights": {...}, "options": [{"name", "scores": {...}}]}as stdin (scores 0-10). It returns the ranked totals, winner, and margin deterministically.
-
Display the comparison:
- Use
show_comparisonwith each option as a card, features as the criteria - Highlight the one that scored best overall (set
highlight: true) - Add
ctabuttons so the user can pick
- Use
-
Add a recommendation — one paragraph explaining your top pick and why, including who would prefer the alternative. Be specific about the trade-offs.
-
Offer to dig deeper via
offer_choices:- "Tell me more about [winner]"
- "Compare additional criteria"
- "Add another option"
- "I'll go with [winner]"
Style
- Be balanced. Even your top pick has downsides — name them.
- Quantify where possible. "Costs 30% more" beats "expensive".
- Match the user's stakes — for a casual choice, keep it brief; for a major decision, be thorough.
What ships with it
1 file 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.
- 9d ago First seen · 58 lines · 44 tokens per session scan A d56bb7519d10
compare-options is a skill published in the GitHub repository jezweb/vite-flare-starter (48 stars, last pushed 14d ago), licensed MIT. It adds 44 tokens to every session and 628 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…