domain-research-analysis SKILL.md skillA
domain-research-analysis from drayline/rootnode-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add drayline/rootnode-skills/domain-research-analysis@v6.0.0Pins v6.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- drayline/rootnode-skills
- Path
plugins/rootnode-prompts/skills/domain-research-analysis/SKILL.md- Versions recorded
- 2
- Latest version
- v6.0.0, committed Nov 3, 2026
- First version recorded
- Nov 1, 2026
- Size
- 21,565 bytes
- Repository stars
- 40
- License
- a license file GitHub does not identify
Specialized research and analysis prompt methodology for Claude. Provides 11 tested approaches (3 identity, 4 reasoning, 4 output) for data analysis, policy research, systematic evidence review, investigative research, and research-specific deliverables. Use when building prompts for quantitative data interpretation, evidence-based policy recommendations, literature reviews, causal analysis, hypothesis-driven investigation, or briefing documents. Trigger on: "prompt for data analysis…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Research & Analysis Prompt Methodology > **Calibration:** Tier 1 (Model-compatible) — runs cleanly on the current dual-primary tier (Opus 5.5, Sonnet 5.5) and on Haiku 5.5. Structured retrieval, rule evaluation, or template lookup — output shape does not depend on the model. Fallback-graceful on Opus 5 / Sonnet 5; legacy-graceful on Sonnet 4.6. See repository README for model compatibility. Specialized approaches for building Claude prompts that handle quantitative analysis, policy research, investigative inquiry, systematic evidence review, and research-specific deliverable formats. This Skill provides identity templates, reasoning methods, and output structures tuned for research work — where rigor, source transparency, and calibrated confidence matter most. **When to use this Skill:** You have a research or analysis task and need a well-structured Claude prompt for it. The task involves interpreting data, synthesizing evidence, evaluating policy options, investigating a question from primary sources, or producing a research deliverable (policy brief, data analysis report, literature review, briefing document). …
Read the whole file at its exact version.
How to install
mdr add drayline/rootnode-skills/domain-research-analysis@sha256:9a2ba8c02077c736The line at the top of this page pins the label v6.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_czjsn7er2zcz2oe3)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Nov 1, 2026 and Nov 3, 2026, about one every 2 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v6.0.0 latest | 2026-11-03 | 7bd17b8 | 21,565 B | A | view · diff |
| v5.0.1 | 2026-11-01 | f34b7ac | 21,507 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (21565 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
drayline/rootnode-skills · 40 stars · license a license file GitHub does not identify · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_czjsn7er2zcz2oe3 GET https://markdownregistry.com/api/v1/resolve?ref=drayline/rootnode-skills/domain-research-analysis GET https://markdownregistry.com/api/v1/blob/9a2ba8c02077c7369c4349c88290ded965a873155929cdc5c29ffe1b8716cb52
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.