Borrowing it
Nothing to install: this file belongs to 1cFE/fusion-tea. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/1cFE/fusion-tea/main/.agents/skills/research/SKILL.mdgit clone --depth 1 https://github.com/1cFE/fusion-teaWrote 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/1cfe/fusion-tea/research)<a href="https://agentmods.dev/skills/1cfe/fusion-tea/research"><img src="https://agentmods.dev/badge/skills/1cfe/fusion-tea/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.
<a href="https://agentmods.dev/skills/1cfe/fusion-tea/research"><img src="https://agentmods.dev/badge/skills/1cfe/fusion-tea/research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00014 | $0.01615 |
| Opus 5.5 | $0.00006 | $0.00646 |
| Sonnet 5.5 | $0.00003 | $0.00323 |
| Haiku 4.5 | $0.00001 | $0.00161 |
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 24d 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Before executing this skill, read .agentic-mbse/claude.md in Claude Code or .agentic-mbse/codex.md in Codex. Resolve supporting paths from this skill’s installed directory; keep generated outputs in the project or a temporary directory. Read referenced skills from .agents/skills/<name>/SKILL.md when their guidance is needed.
Research Command
Purpose: LEARN from external sources — explore authority sources, produce a research document, and capture approved domain insights (DI-XXX) into the knowledge base.
Input: Research question or topic
Output: Research document in knowledge/research/pending/ (moved to approved/ on approval) + DI-XXX entries in knowledge/KNOWLEDGE.md
Research is the primary curation gate (AP-6): raw findings pass through user review before entering the knowledge base. The agent generates content; scripts handle file operations and registry updates (AP-7); the user makes approval decisions.
When invoked without a topic, ask "What would you like me to research?" and wait.
Skills Referenced
- source-traceability: SOURCE_INDEX format, source types, citation patterns. Consult when reading
knowledge/SOURCE_INDEX.mdto discover available sources, and when writing citations in the research document.
Process
1. Gather Context
Read to understand what's already known and what sources are available:
knowledge/SOURCE_INDEX.md— authority sources available for this project (see source-traceability skill for source types)knowledge/KNOWLEDGE.md— existing DI-XXX insights. Are any relevant? Does the topic overlap with existing insights?modeling_project/OVERVIEW.md— project goals (G-XXX) and analysis questions (AQ-XXX). Which does this research serve?knowledge/research/— checkpending/andapproved/for prior research on related topics to avoid duplication
If the user mentions specific files, read them fully before proceeding. Check related epics in work/backlog/ for background that shapes the research question.
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.
- 24d ago Changed · -7 lines 16e4dcf506d3
- 1mo ago First seen · 136 lines · 14 tokens per session scan A 6bc6f7728205
research is a skill published in the GitHub repository 1cFE/fusion-tea (5 stars, last pushed 24d ago), licensed MIT. It adds 14 tokens to every session and 1,615 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 2026-09-29.
research compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| research1cFE/fusion-tea | Skill | 5 | 24d ago | MIT | A | 14 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |