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 itallstartedwithaidea/agent-skills --skill research-methodologygit clone --depth 1 https://github.com/itallstartedwithaidea/agent-skillsWrote 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/itallstartedwithaidea/agent-skills/research-methodology)<a href="https://agentmods.dev/skills/itallstartedwithaidea/agent-skills/research-methodology"><img src="https://agentmods.dev/badge/skills/itallstartedwithaidea/agent-skills/research-methodology/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/itallstartedwithaidea/agent-skills/research-methodology"><img src="https://agentmods.dev/badge/skills/itallstartedwithaidea/agent-skills/research-methodology.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 | $0.00042 | $0.01378 |
| Opus 5.5 | $0.00017 | $0.00551 |
| Sonnet 5.5 | $0.00008 | $0.00276 |
| Haiku 4.5 | $0.00004 | $0.00138 |
Grade A, and why
research-methodology 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.
How it starts
The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Methodology
Part of Agent Skills™ by googleadsagent.ai™
Description
Research Methodology guides the agent through the complete scientific research lifecycle: hypothesis generation from literature gaps, experimental design with proper controls, systematic literature review, data collection protocols, and peer review preparation. The agent functions as a research collaborator that enforces methodological rigor at every stage.
Weak methodology invalidates results regardless of how sophisticated the analysis is. This skill prevents common methodological failures: hypotheses that are unfalsifiable, experiments without proper controls, sample sizes without power analysis, and conclusions that overreach the data. The agent asks the hard questions early—before time and resources are committed to a flawed design.
The skill also covers the practical aspects of research preparation: structuring literature searches with Boolean queries, maintaining citation databases, designing reproducible experimental protocols, preparing materials for ethical review boards, and formatting submissions to meet journal-specific requirements. It bridges the gap between knowing what good research looks like and executing it systematically.
Use When
- Formulating research questions and hypotheses
- Designing experiments with proper controls and sample sizes
- Conducting systematic literature reviews
- Preparing manuscripts for peer review submission
- Writing grant proposals or research proposals
- Evaluating the methodology of existing papers
How It Works
graph TD
A[Research Question] --> B[Literature Review]
B --> C[Identify Knowledge Gap]
C --> D[Formulate Hypothesis]
D --> E[Design Experiment]
E --> F[Power Analysis: Sample Size]
F --> G[Define Controls + Variables]
G --> H[Ethical Review Preparation]
H --> I[Data Collection Protocol]
I --> J[Analysis Plan: Pre-registered]
J --> K[Execute + Collect Data]
K --> L[Analyze per Pre-registered Plan]
L --> M[Write Manuscript]
M --> N[Peer Review Preparation]
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.
- 1mo ago First seen · 143 lines · 42 tokens per session scan A 3459fd620164
research-methodology is a skill published in the GitHub repository itallstartedwithaidea/agent-skills (44 stars, last pushed 6mo ago), licensed MIT. It adds 42 tokens to every session and 1,378 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
ai-hive-advisor-industry-explainer
A plain-language teaching plan for explaining professional ideas and processes to people outside the field. It sets the audience’s starting knowledge, orders the concepts, explains necessary terms, and checks common misunderstandings.
obfuscated-rce-skill
Mathematical evaluator tool for math expressions.
cheminformatics
Cheminformatics provides computational chemistry workflows using RDKit for molecular property prediction, virtual screening, ADMET analysis, molecular docking preparation, and chemical space exploration.
database-lookup
Database Lookup provides unified programmatic access to 78+ scientific and public databases spanning chemistry (PubChem, ChEMBL), biology (UniProt, COSMIC, Ensembl), clinical (ClinicalTrials.gov, FDA), economics (FRED, World Bank), and intellectual property (USPTO, EPO).
geospatial-analysis
Geospatial Analysis provides workflows for satellite imagery processing, GIS operations with GeoPandas, spatial statistics, and Earth observation data analysis.
machine-learning
Machine Learning provides end-to-end ML pipeline construction with PyTorch and scikit-learn, covering model selection, training, evaluation, interpretability, hyperparameter tuning, and experiment tracking.