research

research is a skill for Claude Code from Axect/magi-researchers. It costs 0 tokens per session (6,821 once invoked), scanned A, original, MIT.

A complete research workflow that moves from choosing a research direction through planning, implementation, testing, visualization, and reporting.

In plain words
What is it for?
Use it for research in areas such as physics, artificial intelligence, statistics, mathematics, or paper analysis. It supports different research depths and can resume previous work.
Why use it?
It organizes a complex investigation into connected stages and includes checkpoints between them.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: mentions subagents; mentions Codex; mentions Gemini CLI.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the magi-researchers plugin — 9 skills shipped together

Good fit Use it for research in areas such as physics, artificial intelligence, statistics, mathematics, or paper analysis. It supports different research depths and can resume previous work.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add Axect/magi-researchers
Claude Code
/plugin install magi-researchers

Made for: Claude Code.

Or install magi-researchers, the plugin that ships this one along with the rest of its 9 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

README.md
[![agentmods](https://agentmods.dev/badge/skills/axect/magi-researchers/research/github.svg)](https://agentmods.dev/skills/axect/magi-researchers/research)
Your own site
<a href="https://agentmods.dev/skills/axect/magi-researchers/research"><img src="https://agentmods.dev/badge/skills/axect/magi-researchers/research/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

Your own site · 80×15
<a href="https://agentmods.dev/skills/axect/magi-researchers/research"><img src="https://agentmods.dev/badge/skills/axect/magi-researchers/research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,821 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 $0.00000 $0.06821
Opus 5 $0.00000 $0.03410
Sonnet 5 $0.00000 $0.01364
Haiku 4.5 $0.00000 $0.00682

Measured 10d ago against content hash a5988ab3b92f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

research 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 10d 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.

skills/research/SKILL.md · 519 lines

How it starts

The opening of the file, as written. The whole thing — 519 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research Workflow — Full Pipeline

Description

Runs the complete research pipeline: Brainstorming → Planning → Implementation → Testing & Visualization → Reporting. Orchestrates all phases with user checkpoints between each.

Usage

/research "research topic" [--domain physics|ai_ml|statistics|mathematics|paper] [--weights '{"novelty":0.4,...}'|adaptive] [--depth low|medium|high|max] [--personas N] [--claude-only] [--substitute "Gemini -> Opus"] [--resume <output_dir>]

Arguments

  • $ARGUMENTS — The research topic (required) and optional flags:
    • --domain — Research domain (physics, ai_ml, statistics, mathematics, paper). Auto-inferred if omitted.
    • --weights — Scoring mode for direction ranking:
      • Omitted (default): Holistic ranking — Claude ranks directions by expert judgment with detailed rationale. No numeric weights.
      • JSON object: Weighted scoring with dimension weights summing to 1.0.
      • adaptive: Claude analyzes the prompt and recommends weights for user confirmation. See /research-brainstorm for full details.
    • --depth — Controls brainstorm review depth (default: medium):
      • low — Skip cross-review, go directly to synthesis (fastest, lowest cost)
      • medium — Standard one-shot cross-review (default)
      • high — Cross-review + adversarial debate (most thorough, highest cost)
      • max — Hierarchical MAGI-in-MAGI: N persona subagents run parallel mini-MAGI pipelines, then meta-review + adversarial debate across all perspectives (deepest, highest cost)
    • --personas N|auto — Number of domain-specialist subagents for --depth max (default: auto, range: 2-4). When auto, Claude analyzes the topic to determine the optimal persona count. Ignored for other depth levels.
    • --claude-only — Replace all Gemini/Codex MCP calls with Claude Agent subagents across all phases. Use when external model endpoints are unavailable. Forwarded to all sub-skills automatically.
    • --substitute "Agent -> Opus" — Replace a specific MAGI agent with Claude (Opus). Accepted: "Gemini -> Opus", "Codex -> Opus". Can be specified multiple times. Forwarded to all sub-skills. If both agents are substituted, equivalent to --claude-only. Mutually exclusive with --claude-only (--claude-only takes precedence).
    • --resume <output_dir> — Resume an interrupted pipeline from a previous output directory. See Resume Protocol below.

Read the full file on GitHub · 519 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. 10d ago First seen · 519 lines · 0 tokens per session scan A a5988ab3b92f

Subscribe to this mod's changes

research is a skill published in the GitHub repository Axect/magi-researchers (13 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 6,821 tokens. 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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