research-types-comparative

research-types-comparative is a skill for Claude Code from P47Phoenix/Claude-Plugins. It costs 78 tokens per session (1,372 once invoked), scanned A, original, MIT.

A research helper for comparing identifiable options and weighing their trade-offs.

In plain words
What is it for?
It can organize alternatives with weighted decision criteria, strengths and weaknesses, and comparison methods suited to measurable or experience-based questions.
Why use it?
It gives a comparison a structured basis for choosing, instead of treating every difference as equally important.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the research-agent plugin — 6 skills shipped together

Good fit It can organize alternatives with weighted decision criteria, strengths and weaknesses, and comparison methods suited to measurable or experience-based questions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/p47phoenix/claude-plugins/comparative
Install

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.

Any agent
npx skills add P47Phoenix/Claude-Plugins --skill comparative
Clone the repo
git clone --depth 1 https://github.com/P47Phoenix/Claude-Plugins

Made for: Claude Code.

Or install research-agent, the plugin that ships this one along with the rest of its 6 skills.

Wrote 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.

agentmods badge for research-types-comparative

README.md
[![agentmods](https://agentmods.dev/badge/skills/p47phoenix/claude-plugins/comparative/github.svg)](https://agentmods.dev/skills/p47phoenix/claude-plugins/comparative)
Your own site
<a href="https://agentmods.dev/skills/p47phoenix/claude-plugins/comparative"><img src="https://agentmods.dev/badge/skills/p47phoenix/claude-plugins/comparative/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.

agentmods 80×15 button for research-types-comparative

Your own site · 80×15
<a href="https://agentmods.dev/skills/p47phoenix/claude-plugins/comparative"><img src="https://agentmods.dev/badge/skills/p47phoenix/claude-plugins/comparative.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,372 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00078 $0.01372
Opus 5.5 $0.00031 $0.00549
Sonnet 5.5 $0.00016 $0.00274
Haiku 4.5 $0.00008 $0.00137

Measured 1mo ago against content hash 85a7005ca0db, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

research-types-comparative 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 1mo 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.

research-agent/skills/research-types/comparative/SKILL.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Comparative Research Sub-Skill

Router-dispatched paradigm sub-skill for Comparative research. Not directly model-invocable; the research-agent parent loads this sub-skill only when Phase 1 detection classifies the question as Comparative.

When This Sub-Skill Loads

The parent router dispatches here when the input question contains signals like:

  • "Compare X and Y"
  • "Which is better"
  • "Alternatives to X"
  • "Options for X"
  • "X vs. Y"
  • "Trade-offs between"
  • "Choose between"

Disambiguation rule (from research-agent/references/research-type-patterns.md): "Compare X to understand Y" where understanding Y is the goal → Exploratory, not Comparative. Comparison is a method, not the purpose. Only route to Comparative when the user is choosing between identifiable options.

Framework Selection

Framework Use When
PICO Comparing interventions on a measurable outcome (e.g., "Redis vs Memcached for session storage on latency")
None Multi-criteria comparison with no single dominant outcome; use Decision Matrix with weighted criteria

SPICE applies if the comparison is experiential ("from the perspective of senior engineers, async vs sync code review"). PECO is rare — exposure-comparison maps better to Evaluative.

Output Pattern: Decision Matrix

Use this pattern verbatim for the Findings section (parent skill's Phase 6 Synthesis output):

## Research Type: Comparative
## Framework: [None / PICO]

## Options Being Compared
[A], [B], [C]

## Evaluation Criteria (defined before gathering)
| Criterion | Weight | Rationale |
|-----------|--------|-----------|
| ...       | x%     | ...       |

## Decision Matrix
| Criterion | Weight | Option A | Option B | Option C | Evidence [citations] |
|-----------|--------|----------|----------|----------|----------------------|
| ...       | x%     | [score]  | [score]  | [score]  | [S1], [S2]           |

## Dimension Deep-Dives
[For each high-weight criterion: detailed comparison with supporting evidence]

## SWOT per Option (when strategic context applies)
**Option A:** Strengths / Weaknesses / Opportunities / Threats

## Qualitative Comparative Analysis
Necessary conditions for success: [...]
Sufficient conditions for success: [...]

## Recommendation
**Recommended:** [Option X]
**Rationale:** [Why this best fits stated needs - with citations]
**Risk trade-offs:** [What is given up]
**Conditions where this changes:** [Edge cases that favor a different option]

Read the full file on GitHub · 115 lines

Changes

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.

  1. 1mo ago First seen · 115 lines · 78 tokens per session scan A 85a7005ca0db

Subscribe to this mod's changes

research-types-comparative is a skill published in the GitHub repository P47Phoenix/Claude-Plugins (2 stars, last pushed 2d ago), licensed MIT. It adds 78 tokens to every session and 1,372 once invoked, about $0.0003 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 2026-08-31.

Related

Other skills, from other repositories

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…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

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…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens