research-workflow

research-workflow is a skill for Claude Code, Codex from GEUConn/research-idea-workflow-skill. It costs 0 tokens per session (4,623 once invoked), scanned A, original, MIT.

A guided four-stage workflow for turning a materials-engineering research idea into a planned experiment, with researcher approval at key decisions.

In plain words
What is it for?
Use it to refine a topic, assess its urgency, compare technical routes, verify citations, and plan experiments.
Why use it?
It provides a structured path from an unclear idea to a research plan while checking supporting papers during the process.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument; mentions Claude Code; mentions AGENTS.md.

Good fit Use it to refine a topic, assess its urgency, compare technical routes, verify citations, and plan experiments.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/geuconn/research-idea-workflow-skill/research-workflow
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 GEUConn/research-idea-workflow-skill --skill research-workflow
Clone the repo
git clone --depth 1 https://github.com/GEUConn/research-idea-workflow-skill

Made for: Claude Code, Codex.

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-workflow

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/geuconn/research-idea-workflow-skill/research-workflow"><img src="https://agentmods.dev/badge/skills/geuconn/research-idea-workflow-skill/research-workflow.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 4,623 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 $0.04623
Opus 5.5 $0.00000 $0.01849
Sonnet 5.5 $0.00000 $0.00925
Haiku 4.5 $0.00000 $0.00462

Measured 1mo ago against content hash 9123a0fc226f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

research-workflow 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.

The scan reads SKILL.md. This mod also ships 6 executable files (scripts/citation_triangulation.py, scripts/search_crossref.py, scripts/search_materials_project.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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-workflow/SKILL.md · 461 lines

How it starts

The opening of the file, as written. The whole thing — 461 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research Idea Workflow Skill | 科研思路工作流技能

Claude Code Skill · Materials Engineering Focus · Bilingual (EN/ZH)


Overview | 概述

This skill guides materials engineering researchers through four structured stages — from a raw idea to a fully planned experiment — with human-in-the-loop confirmation at each critical checkpoint.

本技能引导材料工程科研人员完成从模糊想法到完整实验方案的四阶段结构化流程,在每个关键节点提供人工确认机会。

Trigger / 触发方式:

  • Claude Code: invoke this skill file, then describe your research idea in natural language
  • Codex CLI: see AGENTS.md in this directory

Pipeline Overview / 流程概览:

Stage 1: Topic Refinement       → [CHECKPOINT 1] → [TOKEN REPORT 1]
Stage 2: Urgency Assessment     → [CHECKPOINT W?] → [TOKEN REPORT W] → [CHECKPOINT 2] → [TOKEN REPORT 2]
Stage 3: Technical Route Eval   → [CHECKPOINT W?] → [TOKEN REPORT W] → [CHECKPOINT 3] → [TOKEN REPORT 3]
Stage 4: Experiment Planning    → Final outputs → [TOKEN REPORT 4] → [TOTAL SUMMARY]

Citation Verification runs continuously across Stages 2–3
WARN detected → [CHECKPOINT W] Human review of flagged references

Token Tracking Protocol | Token 消耗追踪协议

At every CHECKPOINT and after every stage, Claude MUST run the token tracker. 在每个确认节点和每个阶段结束后,Claude 必须运行 token 追踪器。

How to Estimate Tokens | 如何估算 Token 数

Claude should estimate tokens from the current stage's conversation: Claude 应从当前阶段的对话内容估算 token 数:

Input tokens  ≈ sum of all USER messages in this stage ÷ 4 (English) or ÷ 2 (Chinese/mixed)
Output tokens ≈ sum of all ASSISTANT messages in this stage ÷ 4 (English) or ÷ 2 (Chinese/mixed)

For a mixed EN/ZH workflow, use ÷ 3 as a practical approximation.
中英混合工作流实践中可统一使用 ÷ 3 作为近似值。

Token Report Command | Token 报告命令

python research-workflow/scripts/token_tracker.py \
  --log \
  --stage <STAGE_ID> \
  --input <INPUT_TOKEN_ESTIMATE> \
  --output <OUTPUT_TOKEN_ESTIMATE> \
  --model <MODEL_NAME>

# Stage IDs: 0 (setup), 1, 2, 3, 4, W (citation checkpoint)
# Model names: claude-sonnet-4-6 | claude-opus-4-6 | claude-haiku-4-5 | gpt-4o | gpt-4.1
# Run --list-models to see all options and current pricing

Read the full file on GitHub · 461 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 · 461 lines · 0 tokens per session scan A 9123a0fc226f

Subscribe to this mod's changes

research-workflow is a skill published in the GitHub repository GEUConn/research-idea-workflow-skill (16 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4,623 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.