biodiversity-data-guide

biodiversity-data-guide is a skill for Claude Code, Codex from wentorai/research-plugins. It costs 18 tokens per session (2,540 once invoked), scanned A, original, MIT.

A guide to finding, analyzing, and visualizing biodiversity data from sources such as GBIF, iNaturalist, GenBank, and the IUCN Red List.

In plain words
What is it for?
Use it to retrieve species occurrences, check conservation status, work with genetic records, and prepare ecological or evolutionary research.
Why use it?
It explains where different kinds of species, genetic, climate, and conservation data are stored and how to access them.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to retrieve species occurrences, check conservation status, work with genetic records, and prepare ecological or evolutionary research.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wentorai/research-plugins/biodiversity-data-guide
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 wentorai/research-plugins --skill biodiversity-data-guide
Clone the repo
git clone --depth 1 https://github.com/wentorai/research-plugins

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 biodiversity-data-guide

README.md
[![agentmods](https://agentmods.dev/badge/skills/wentorai/research-plugins/biodiversity-data-guide/github.svg)](https://agentmods.dev/skills/wentorai/research-plugins/biodiversity-data-guide)
Your own site
<a href="https://agentmods.dev/skills/wentorai/research-plugins/biodiversity-data-guide"><img src="https://agentmods.dev/badge/skills/wentorai/research-plugins/biodiversity-data-guide/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 biodiversity-data-guide

Your own site · 80×15
<a href="https://agentmods.dev/skills/wentorai/research-plugins/biodiversity-data-guide"><img src="https://agentmods.dev/badge/skills/wentorai/research-plugins/biodiversity-data-guide.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,540 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00018 $0.02540
Opus 5 $0.00009 $0.01270
Sonnet 5 $0.00004 $0.00508
Haiku 4.5 $0.00002 $0.00254

Measured 7d ago against content hash 6277f6d537f9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

biodiversity-data-guide 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 7d 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.

skills/domains/ecology/biodiversity-data-guide/SKILL.md · 297 lines

How it starts

The opening of the file, as written. The whole thing — 297 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Biodiversity Data Guide

Access, analyze, and visualize biodiversity data from global databases including GBIF, iNaturalist, and GenBank for ecological and evolutionary research.

Major Biodiversity Data Sources

Database Content Records API Cost
GBIF Species occurrence records 2.4B+ Yes Free
iNaturalist Citizen science observations 180M+ Yes Free
GenBank (NCBI) Genetic sequences 250M+ Yes Free
BOLD Systems DNA barcode records 15M+ Yes Free
eBird Bird observations 1.3B+ Yes Free
IUCN Red List Conservation status 160,000+ Yes Free (with key)
OBIS Marine biodiversity 100M+ Yes Free
Catalogue of Life Taxonomic backbone 2M+ species Yes Free
TRY Plant Trait Plant functional traits 12M+ Request Free
WorldClim Climate data (rasters) Global Download Free

Querying GBIF (Species Occurrences)

Python (pygbif)

from pygbif import species as sp
from pygbif import occurrences as occ

# Search for a species by name
name_result = sp.name_backbone(name="Panthera tigris", rank="species")
taxon_key = name_result["usageKey"]
print(f"GBIF taxon key: {taxon_key}")
print(f"Status: {name_result['status']}")
print(f"Kingdom: {name_result['kingdom']}")

# Get occurrence records
results = occ.search(
    taxonKey=taxon_key,
    hasCoordinate=True,       # Only georeferenced records
    country="IN",             # India
    limit=100,
    year="2020,2024",         # Year range
    basisOfRecord="HUMAN_OBSERVATION"
)

print(f"Total records matching: {results['count']}")
for record in results["results"][:5]:
    print(f"  [{record.get('year')}] {record.get('decimalLatitude'):.4f}, "
          f"{record.get('decimalLongitude'):.4f} - {record.get('datasetName', 'N/A')}")

R (rgbif)

library(rgbif)
library(sf)
library(ggplot2)

# Get occurrence data
tiger_key <- name_backbone(name = "Panthera tigris")$usageKey

occurrences <- occ_search(
  taxonKey = tiger_key,
  hasCoordinate = TRUE,
  limit = 500,
  year = "2020,2024",
  basisOfRecord = "HUMAN_OBSERVATION"
)

# Convert to spatial data
occ_df <- occurrences$data
coords <- occ_df[, c("decimalLongitude", "decimalLatitude")]
occ_sf <- st_as_sf(coords, coords = c("decimalLongitude", "decimalLatitude"),
                    crs = 4326)

# Map occurrences
world <- rnaturalearth::ne_countries(scale = "medium", returnclass = "sf")
ggplot() +
  geom_sf(data = world, fill = "grey90") +
  geom_sf(data = occ_sf, color = "red", size = 1, alpha = 0.5) +
  coord_sf(xlim = c(60, 150), ylim = c(-10, 50)) +
  labs(title = "Panthera tigris occurrences (2020-2024)") +
  theme_minimal()
ggsave("tiger_map.pdf", width = 10, height = 6)

Read the full file on GitHub · 297 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. 7d ago First seen · 297 lines · 18 tokens per session scan A 6277f6d537f9

Subscribe to this mod's changes

biodiversity-data-guide is a skill published in the GitHub repository wentorai/research-plugins (291 stars, last pushed 2mo ago), licensed MIT. It adds 18 tokens to every session and 2,540 once invoked, about $0.0001 per session on Opus 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 2026-09-03.

Related

Other skills, from other repositories

instrument-data-to-allotrope

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…

anthropics/knowledge-work-plugins · 123 tokens

matlab

Build, review, migrate, and safely plan MATLAB or GNU Octave numerical workflows, including arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.

K-Dense-AI/scientific-agent-skills · 42 tokens

exploratory-data-analysis

Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…

K-Dense-AI/scientific-agent-skills · 83 tokens

phylogenetics

Build and analyze phylogenetic trees using MAFFT (multiple alignment), IQ-TREE 2 (maximum likelihood), and FastTree (fast NJ/ML). Visualize with ETE3 or FigTree. For evolutionary analysis, microbial genomics, viral phylodynamics, protein family analysis, and molecular clock studies.

K-Dense-AI/scientific-agent-skills · 68 tokens

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

mapping-to-snomed

Maps clinical concept spans extracted by OpenMed to SNOMED CT concepts through a USER-SUPPLIED terminology server (the user's own Ontoserver, Snowstorm, or UMLS/UTS), never a bundled vocabulary. Use when the user wants to code findings, disorders, procedures, body structures, or substances to SNOMED CT, run an ECL…

maziyarpanahi/openmed · 205 tokens