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 silverstein/claude-scientific-skills-desktop --skill etetoolkitgit clone --depth 1 https://github.com/silverstein/claude-scientific-skills-desktopWrote 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/silverstein/claude-scientific-skills-desktop/etetoolkit)<a href="https://agentmods.dev/skills/silverstein/claude-scientific-skills-desktop/etetoolkit"><img src="https://agentmods.dev/badge/skills/silverstein/claude-scientific-skills-desktop/etetoolkit/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/silverstein/claude-scientific-skills-desktop/etetoolkit"><img src="https://agentmods.dev/badge/skills/silverstein/claude-scientific-skills-desktop/etetoolkit.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 | $0.00046 | $0.04512 |
| Opus 5 | $0.00023 | $0.02256 |
| Sonnet 5 | $0.00009 | $0.00902 |
| Haiku 4.5 | $0.00005 | $0.00451 |
Grade B, and why
etetoolkit scanned grade B with 1 finding 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 12d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo apt-get install python3-pyqt5 python3-pyqt5.qtsvg This is a copy
94% identical to etetoolkit — 7 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 618 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ETE Toolkit Skill
Overview
ETE (Environment for Tree Exploration) is a toolkit for phylogenetic and hierarchical tree analysis. Manipulate trees, analyze evolutionary events, visualize results, and integrate with biological databases for phylogenomic research and clustering analysis.
Core Capabilities
1. Tree Manipulation and Analysis
Load, manipulate, and analyze hierarchical tree structures with support for:
- Tree I/O: Read and write Newick, NHX, PhyloXML, and NeXML formats
- Tree traversal: Navigate trees using preorder, postorder, or levelorder strategies
- Topology modification: Prune, root, collapse nodes, resolve polytomies
- Distance calculations: Compute branch lengths and topological distances between nodes
- Tree comparison: Calculate Robinson-Foulds distances and identify topological differences
Common patterns:
from ete3 import Tree
# Load tree from file
tree = Tree("tree.nw", format=1)
# Basic statistics
print(f"Leaves: {len(tree)}")
print(f"Total nodes: {len(list(tree.traverse()))}")
# Prune to taxa of interest
taxa_to_keep = ["species1", "species2", "species3"]
tree.prune(taxa_to_keep, preserve_branch_length=True)
# Midpoint root
midpoint = tree.get_midpoint_outgroup()
tree.set_outgroup(midpoint)
# Save modified tree
tree.write(outfile="rooted_tree.nw")
Use scripts/tree_operations.py for command-line tree manipulation:
# Display tree statistics
python scripts/tree_operations.py stats tree.nw
# Convert format
python scripts/tree_operations.py convert tree.nw output.nw --in-format 0 --out-format 1
# Reroot tree
python scripts/tree_operations.py reroot tree.nw rooted.nw --midpoint
# Prune to specific taxa
python scripts/tree_operations.py prune tree.nw pruned.nw --keep-taxa "sp1,sp2,sp3"
# Show ASCII visualization
python scripts/tree_operations.py ascii tree.nw
2. Phylogenetic Analysis
Analyze gene trees with evolutionary event detection:
- Sequence alignment integration: Link trees to multiple sequence alignments (FASTA, Phylip)
- Species naming: Automatic or custom species extraction from gene names
- Evolutionary events: Detect duplication and speciation events using Species Overlap or tree reconciliation
- Orthology detection: Identify orthologs and paralogs based on evolutionary events
- Gene family analysis: Split trees by duplications, collapse lineage-specific expansions
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 618 lines · 46 tokens per session scan B 31fe1b501aee
etetoolkit is a skill published in the GitHub repository silverstein/claude-scientific-skills-desktop (22 stars, last pushed 5mo ago), licensed MIT. It adds 46 tokens to every session and 4,512 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). It is 94% identical to etetoolkit, differing in 7 lines, and is treated as a copy.
Other skills, from other repositories
bio-ortholog-inference
Pull pre-computed ortholog calls from public databases (OrthoDB, Ensembl Compara, OMA browser, eggNOG, PANTHER, KEGG Orthology, HomoloGene) via their REST APIs. Use when orthologs are already curated upstream, when the question is "what is the X ortholog of Y" rather than "how to infer orthology de novo", when…
admet_genetic
ADMET-guided genetic molecule optimization workflow from seed SMILES; use when the agent needs to build or run an RDKit/SA-Score/ADMET-AI GA pipeline for molecule optimization, enforce molecule lineage logs, render optimization-history HTML dashboards, and write candidate triage reports.
bioprobench
Score an LLM's biological-protocol reasoning on the BioProBench benchmark: protocol QA, step ordering, error detection, protocol generation, and LLM-judged error reasoning; or generate the responses.
alphafold2
Predict protein structure for monomers and multimers with AlphaFold2 via the ColabFold runner (Mirdita et al. 2022, github.com/sokrypton/ColabFold; AlphaFold2 Jumper et al. 2021). Reach for this skill to fold a sequence or complex with the AF2/AF2-Multimer evoformer, to validate designed sequences by self-consistency…
bio-alignment-msa-parsing
Parse and analyze multiple sequence alignments using Biopython. Extract sequences, identify conserved regions, analyze gaps, work with annotations, and manipulate alignment data for downstream analysis. Use when parsing or manipulating multiple sequence alignments.
bio-causal-genomics-heritability-partitioning
Estimates SNP heritability and partitions it across functional annotations, cell types, and loci from GWAS summary statistics or individual-level genotypes. Implements LDSC, stratified LDSC with the baseline-LD model, Finucane 2018 cell-type prioritization, LDAK SumHer, HDL, HESS local heritability, BOLT-REML…