Agri Deep Research
Source-validated agricultural literature reviews with a four-gate anti-fabrication citation check
Test report
- Verdict
- Tested · Works
- Score
- Tested
- Jul 17, 2026
- Environment
- Claude Code 2.x (agent harness)
- Upstream re-checked
- Aug 10, 2026 · cd331c7
Ran the skill's non-negotiable citation gate (scripts/verify_citations.py) live against Crossref: it confirmed a genuine DOI, flagged a fabricated DOI as CONFIRMED-MISSING, and caught both a no-identifier reference and a dangling unbound claim, exiting non-zero. That anti-fabrication check demonstrably blocks invented sources a no-skill baseline would ship. The full 12-subagent review itself needs deep web research and many agent spawns, so the review-quality delta beyond the integrity gate was not exercised here.
Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works
- Installs cleanly 5/5
- Triggers reliably 5/5
- Output vs. baseline 6/10
- Docs & honesty 5/5
What Agri Deep Research does
Produces a fully written, source-validated literature review on an agricultural question, delegating to a 12-subagent food-deep-research pipeline with agriculture persona, journal-ranking (Q1/Q2 preferred), and a non-negotiable citation-integrity gate. Triggers on requests to deep-dive or write a literature review for agronomy, soil science, or crop research.
How to install Agri Deep Research
git clone https://github.com/PangenomeAI/academic-skills-food-nutrition
mkdir -p ~/.claude/skills
cd academic-skills-food-nutrition && cp -r agri-deep-research agri-research food-deep-research food-research food-paper food-review journal-selector journals scripts ~/.claude/skills/
Skills live in ~/.claude/skills/ (global) or .claude/skills/
(per-project). Restart Claude Code after installing.
Commands — how to trigger Agri Deep Research
-
/agri-deep-researchSource-validated agricultural literature reviews with a four-gate anti-fabrication citation check
It also activates on plain-language prompts like these:
-
Write a source-validated literature review on crop soil fertility -
Deep-dive the agronomy research on drought-resistant wheat varieties -
Check these citations for fabricated DOIs before I submit this
Frequently asked questions
- Is the Agri Deep Research skill free?
- Yes. The skill itself is free from PangenomeAI/academic-skills-food-nutrition. SkillProof publishes the install command and an independent test verdict at no cost.
- Does Agri Deep Research work with Claude Code?
- We tested it with Claude Code 2.x (agent harness) on Jul 17, 2026. Verdict: Tested · Works. Ran the skill's non-negotiable citation gate (scripts/verify_citations.py) live against Crossref: it confirmed a genuine DOI, flagged a fabricated DOI as CONFIRMED-MISSING, and caught both a no-identifier reference and a dangling unbound claim, exiting non-zero. That anti-fabrication check demonstrably blocks invented sources a no-skill baseline would ship. The full 12-subagent review itself needs deep web research and many agent spawns, so the review-quality delta beyond the integrity gate was not exercised here.
- What is the Agri Deep Research SkillProof Score?
- 8.4/10 — installs cleanly 5/5, triggers reliably 5/5, output vs. baseline 6/10, docs & honesty 5/5.
- How do I install Agri Deep Research?
- Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
- Can I use Agri Deep Research with Cursor, Copilot, Gemini CLI, Codex or other AI tools?
- The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.