Biopython Bioinformatics
aiming-lab/AutoResearchClaw
Quick reference for Biopython work: sequence operations, SeqIO file parsing, BLAST searches, Entrez queries, phylogenetic trees and PDB structure analysis.
Generate reverse complements and complements of DNA/RNA sequences using Biopython, including IUPAC ambiguity codes, gapped alignments, and minus-strand features.
$ npx skills add GPTomics/bioSkills --skill bio-reverse-complement -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install GPTomics/bioSkills bio-reverse-complement --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/GPTomics/bioSkills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/sequence-manipulation/reverse-complement .claude/skills/bio-reverse-complement && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "bio-reverse-complement" agent skill from https://github.com/GPTomics/bioSkills/tree/main/sequence-manipulation/reverse-complement into .claude/skills/bio-reverse-complement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-reverse-complement", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/GPTomics/bioSkills/tree/main/sequence-manipulation/reverse-complementType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add GPTomics/bioSkills --skill bio-reverse-complement -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install GPTomics/bioSkills bio-reverse-complement --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GPTomics/bioSkills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/sequence-manipulation/reverse-complement .agents/skills/bio-reverse-complement && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "bio-reverse-complement" agent skill from https://github.com/GPTomics/bioSkills/tree/main/sequence-manipulation/reverse-complement into .agents/skills/bio-reverse-complement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-reverse-complement", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add GPTomics/bioSkills --skill bio-reverse-complement -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install GPTomics/bioSkills bio-reverse-complement --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GPTomics/bioSkills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/sequence-manipulation/reverse-complement .cursor/skills/bio-reverse-complement && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "bio-reverse-complement" agent skill from https://github.com/GPTomics/bioSkills/tree/main/sequence-manipulation/reverse-complement into .cursor/skills/bio-reverse-complement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-reverse-complement", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/GPTomics/bioSkills.git --path sequence-manipulation/reverse-complement--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add GPTomics/bioSkills --skill bio-reverse-complement -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install GPTomics/bioSkills bio-reverse-complement --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GPTomics/bioSkills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/sequence-manipulation/reverse-complement .gemini/skills/bio-reverse-complement && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "bio-reverse-complement" agent skill from https://github.com/GPTomics/bioSkills/tree/main/sequence-manipulation/reverse-complement into .gemini/skills/bio-reverse-complement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-reverse-complement", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install GPTomics/bioSkills bio-reverse-complementInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add GPTomics/bioSkills --skill bio-reverse-complement -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/GPTomics/bioSkills.git skills-src && mkdir -p .github/skills && cp -r skills-src/sequence-manipulation/reverse-complement .github/skills/bio-reverse-complement && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "bio-reverse-complement" agent skill from https://github.com/GPTomics/bioSkills/tree/main/sequence-manipulation/reverse-complement into .github/skills/bio-reverse-complement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-reverse-complement", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add GPTomics/bioSkills --skill bio-reverse-complement -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install GPTomics/bioSkills bio-reverse-complement --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GPTomics/bioSkills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/sequence-manipulation/reverse-complement .opencode/skills/bio-reverse-complement && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "bio-reverse-complement" agent skill from https://github.com/GPTomics/bioSkills/tree/main/sequence-manipulation/reverse-complement into .opencode/skills/bio-reverse-complement/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bio-reverse-complement", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
bio-reverse-complementGenerate reverse complements and complements of DNA/RNA sequences using Biopython, including IUPAC ambiguity codes, gapped alignments, and minus-strand features.
Bio Reverse Complement is an agent skill from GPTomics/bioSkills. Generate reverse complements and complements of DNA/RNA sequences using Biopython, including IUPAC ambiguity codes, gapped alignments, and minus-strand features. Use when working with the opposite strand, building reverse primers, normalizing strand orientation before alignment, or extracting a coding sequence from a minus-strand feature.
Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files (for example `examples/basic_operations.py`, `examples/iupac_and_features.py` and `examples/palindrome_check.py`).
It sits in Research & Science, covering Bioinformatics. It works with Biopython. The repository describes itself as: a set of SKILLS.md for doing bioinformatics with agents like claude code. The licence is MIT.
Read from SKILL.md and the folder at commit d91ed3d. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
pipFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Bio Reverse Complement loads about 2.8k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 1,018 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from GPTomics/bioSkills at commit d91ed3d, republished under its MIT licence (© GPTomics). 1,018 words, ~2,758 tokens.
.claude/skills/bio-reverse-complement/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.Reference examples tested with: BioPython 1.83+
Before using code patterns, verify installed versions match. If versions differ:
pip show <package> then help(module.function) to check signaturesIf code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.
Generate complementary and reverse complementary sequences using Biopython.
"Get the reverse complement" -> Produce the 5'-to-3' sequence of the opposite strand.
seq.reverse_complement() (BioPython Seq)samtools faidx ref.fa region --reverse-complement (extracts and RCs a region)Never hand-roll the complement table. Biopython's reverse_complement() already encodes the full IUPAC mapping correctly, case-insensitively, and on minus-strand features it is applied for the analyst automatically by SeqFeature.extract(). Every silent corruption in this domain comes from reimplementing what Biopython already does right: swapping ambiguity codes, forgetting that S/W/N are self-complementary, complementing the wrong molecule type, or reverse-complementing a second time after extract() already did it. Reach for the library method; reach for a guard (molecule_type) before it; never reach for a custom dictionary.
from Bio.Seq import Seq| Question | Method | Output strand/direction |
|---|---|---|
| Opposite strand, conventional 5'->3' | reverse_complement() | 5'->3' of the complementary strand (the usual answer) |
| Base-paired sequence, same direction | complement() | 3'->5' of the complementary strand |
| Opposite strand of RNA, keep U | reverse_complement_rna() | 5'->3', emits U |
| Complement of RNA, keep U | complement_rna() | 3'->5', emits U |
| Coding strand from template (or vice versa) | reverse_complement() | the other strand, 5'->3' |
| mRNA sequence from the coding strand | transcribe() (NOT a complement) | same strand, T->U |
Returns the reverse complement (5'->3' of the opposite strand). This is the most commonly used operation.
seq = Seq('ATGCGATCG')
rc = seq.reverse_complement() # Returns Seq('CGATCGCAT')Returns the complement without reversing. Less common - gives the opposite strand still written in 3'->5' order.
seq = Seq('ATGCGATCG')
comp = seq.complement() # Returns Seq('TACGCTAGC')For RNA, the dedicated methods emit U:
rna = Seq('AUGCGAUCG')
rna.reverse_complement_rna() # Returns Seq('CGAUCGCAU')
rna.complement_rna() # Returns Seq('UACGCUAGC')reverse_complement() complements all 15 IUPAC codes plus X correctly. The mapping is non-obvious for ambiguity codes - this is exactly why hand-rolling corrupts silently.
| Code | Bases | Complement | Code | Bases | Complement | |
|---|---|---|---|---|---|---|
| A | A | T | M | A/C | K | |
| T | T | A | B | C/G/T | V | |
| G | G | C | V | A/C/G | B | |
| C | C | G | D | A/G/T | H | |
| R | A/G | Y | H | A/C/T | D | |
| Y | C/T | R | S | G/C | S (self) | |
| K | G/T | M | W | A/T | W (self) | |
| N | any | N (self) |
S, W, N, and X are SELF-complementary. The pairs that get swapped wrong by hand are B<->V and D<->H. The table is built for upper and lower case, so complementation is case-insensitive (Seq('atRY').reverse_complement() works).
reverse_complement() runs in DNA mode: it treats any U as a T and EMITS T (docstring: "Any U in the sequence is treated as a T"). It does not raise and does not leave U.
Seq('ACGU').reverse_complement() # Returns Seq('ACGT') -- U mapped to A, emitted as T
Seq('ACGU').reverse_complement_rna() # Returns Seq('ACGU') -- stays RNAtranscribe() does NOT complement. It swaps T->U on the SAME strand. Confusing "complement the template" with "transcribe the coding strand" is silent corruption. True biological transcription from the template strand is template_dna.reverse_complement().transcribe().
complement and reverse_complement do NOT validate the alphabet (unlike translate()). A gap - is not a table key, so it passes through unchanged and reversal preserves gap columns - the desired behavior for aligned sequences. Any other non-table character (?, *) also passes through silently.
Seq('ATG-CGA--TY').reverse_complement() # Returns Seq('RA--TCG-CAT') -- gaps preserved, Y->RBecause there is no alphabet check, garbage in produces garbage out without a warning (see the protein trap below).
def show_dsdna(seq):
print(f"5'-{seq}-3'")
print(f" {'|' * len(seq)}")
print(f"3'-{seq.complement()}-5'")
show_dsdna(Seq('ATGCGATCG'))def is_palindrome(seq):
return seq == seq.reverse_complement()
is_palindrome(Seq('GAATTC')) # True -- EcoRI site
is_palindrome(Seq('ATGCGA')) # FalseGoal: Produce a new FASTA file with all sequences reverse-complemented.
Approach: Parse records as a stream, build new SeqRecords from .reverse_complement(), write to output.
Reference (BioPython 1.83+):
from Bio import SeqIO
from Bio.SeqRecord import SeqRecord
def reverse_complement_records(records):
for record in records:
yield SeqRecord(record.seq.reverse_complement(), id=record.id + '_rc', description=record.description + ' reverse complement')
records = SeqIO.parse('sequences.fasta', 'fasta')
SeqIO.write(reverse_complement_records(records), 'sequences_rc.fasta', 'fasta')Goal: Get the correct 5'->3' coding sequence for a gene annotated on the minus strand.
Approach: Call feature.extract(parent.seq). For strand == -1, extract() ALREADY reverse-complements the slice and returns the coding sequence. Do NOT reverse-complement again.
Reference (BioPython 1.83+):
from Bio.Seq import Seq
from Bio.SeqFeature import SeqFeature, SimpleLocation
parent = Seq('AAATGGGCCCTTTAAA')
feature = SeqFeature(SimpleLocation(3, 12, strand=-1), type='CDS')
cds = feature.extract(parent) # Already reverse-complemented; this is the coding sequence
# cds.reverse_complement() # WRONG -- double-RC bug, valid-looking but wrong strandGoal: Find a motif on both strands and report forward-strand coordinates.
Approach: Search the forward sequence, then search its reverse complement, mapping minus-strand hits back to forward coordinates.
Reference (BioPython 1.83+):
def search_both_strands(seq, motif):
motif = Seq(motif)
results = []
pos = seq.find(motif)
while pos != -1:
results.append(('+', pos))
pos = seq.find(motif, pos + 1)
rc = seq.reverse_complement()
pos = rc.find(motif)
while pos != -1:
results.append(('-', len(seq) - pos - len(motif)))
pos = rc.find(motif, pos + 1)
return results
search_both_strands(Seq('ATGCGAATTCGATGAATTCGATC'), 'GAATTC')inplace defaults to False (standardized in 1.79). On an immutable Seq, inplace=True raises TypeError: Sequence is immutable (a loud, useful error). In-place mutation works only on MutableSeq.
from Bio.Seq import MutableSeq
m = MutableSeq('ATGC')
m.reverse_complement(inplace=True) # m is now MutableSeq('GCAT')Since the 1.78 alphabet removal there is no molecule-type checking. Reverse-complementing a protein produces SILENT GARBAGE with no warning: residues that are also nucleotide codes get complemented (Seq('MAIVMGR').reverse_complement() -> Seq('YCKBITK'); M->K, V->B), while protein-only letters E, F, I, L, P, Q, Z and * pass through unchanged. The old IUPAC.protein ValueError guard is gone. Guard on the molecule type, not the Seq:
if record.annotations.get('molecule_type') not in ('DNA', 'RNA'):
raise ValueError('reverse_complement is only valid for nucleotide sequences')| Symptom | Cause | Fix |
|---|---|---|
| U replaced by T in result | reverse_complement() runs in DNA mode (U treated as T) | Use reverse_complement_rna() to keep RNA |
| Result is meaningless letters, no error | Reverse-complemented a protein (silent since 1.78) | Guard on molecule_type, not the Seq |
| Coding sequence is the wrong strand | Called .reverse_complement() after extract() on a minus-strand feature | extract() already RC'd it; do not RC again |
TypeError: Sequence is immutable | inplace=True on a Seq | Use a MutableSeq, or take the returned value |
| Ambiguity codes complement wrongly | Hand-rolled complement table (B/V, D/H swapped; S/W/N not self-complementary) | Use Biopython's reverse_complement(); never reinvent the table |
| Same strand returned instead of complement | Used transcribe() thinking it complements | transcribe() only swaps T->U; use reverse_complement() for the other strand |
TypeError on a plain string | Passed a str instead of a Seq | Wrap input in Seq() first |
Cornish-Bowden A (1985) "Nomenclature for incompletely specified bases in nucleic acid sequences: recommendations 1984." Nucleic Acids Res 13(9):3021-3030 (PMID 2582368). Defines the IUPAC ambiguity codes (R, Y, S, W, K, M, B, D, H, V, N) that Biopython's complement table implements.
© GPTomics, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 5 other files in sequence-manipulation/reverse-complement of GPTomics/bioSkills.
Open the folder on GitHubat commit d91ed3d
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in GPTomics/bioSkills, which our catalogue first saw on October 7, 2026.
Bio Reverse Complement next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Bio Reverse Complement this skillGPTomics/bioSkills | 1.2k | 1 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Biopython Bioinformaticsaiming-lab/AutoResearchClaw | 15k | — | ~810 | Automated safety check: Pass | MIT | |
| Biopythondavila7/claude-code-templates | 32k | 13 repos | ~3.4k | Automated safety check: Pass | MIT | |
| Ggetdavila7/claude-code-templates | 32k | 11 repos | ~6.3k | Automated safety check: Pass | MIT | |
| Bio Alignment Pairwisemajiayu000/claude-skill-registry | 666 | 4 repos | ~1.7k | Automated safety check: Pass | MIT | |
| GgetK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~2.8k | Automated safety check: Notes | BSD-2-Clause |
aiming-lab/AutoResearchClaw
Quick reference for Biopython work: sequence operations, SeqIO file parsing, BLAST searches, Entrez queries, phylogenetic trees and PDB structure analysis.
davila7/claude-code-templates
Primary Python toolkit for molecular biology. An agent skill from davila7/claude-code-templates.
davila7/claude-code-templates
CLI/Python toolkit for rapid bioinformatics queries. An agent skill from davila7/claude-code-templates.
majiayu000/claude-skill-registry
Perform pairwise sequence alignment using Biopython Bio.Align.PairwiseAligner.
K-Dense-AI/scientific-agent-skills
Queries 20+ bioinformatics resources through CLI/Python. An agent skill from K-Dense-AI/scientific-agent-skills.
K-Dense-AI/scientific-agent-skills
Provides Biopython workflows for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez).
GPTomics/bioSkills
Read, write, and convert multiple sequence alignment files using Biopython Bio.AlignIO.
GPTomics/bioSkills
Installs the bioSkills collection of 425 bioinformatics skills in one step, or only chosen categories, so sequencing, RNA-seq, single-cell and variant tasks get specialized help.
GPTomics/bioSkills
Write biological sequences to files (FASTA, FASTQ, GenBank, EMBL) using Biopython Bio.SeqIO.
GPTomics/bioSkills
Soft- or hard-clips PCR primer footprints from aligned amplicon BAMs so primer bases stop masquerading as confirmed reference sequence.
GPTomics/bioSkills
Create and use BAI/CSI indices for BAM/CRAM files using samtools and pysam.
GPTomics/bioSkills
Sort alignment files by coordinate or read name using samtools and pysam.
Works with
Categories
Generate reverse complements and complements of DNA/RNA sequences using Biopython, including IUPAC ambiguity codes, gapped alignments, and minus-strand features. Bio Reverse Complement is an agent skill from GPTomics/bioSkills. Generate reverse complements and complements of DNA/RNA sequences using Biopython, including IUPAC ambiguity codes, gapped alignments, and minus-strand features.
Bio Reverse Complement fits situations like: working with the opposite strand; building reverse primers; normalizing strand orientation before alignment; extracting a coding sequence from a minus-strand feature.
Run `npx skills add GPTomics/bioSkills --skill bio-reverse-complement -a claude-code`. Or copy the skill folder (sequence-manipulation/reverse-complement in GPTomics/bioSkills) into .claude/skills/bio-reverse-complement in your project. Claude Code loads it when a task matches its description.
Run `npx skills add GPTomics/bioSkills --skill bio-reverse-complement -a codex`. Or copy the skill folder (sequence-manipulation/reverse-complement in GPTomics/bioSkills) into .agents/skills/bio-reverse-complement in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add GPTomics/bioSkills --skill bio-reverse-complement -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bio-reverse-complement, .gemini/skills/bio-reverse-complement, .github/skills/bio-reverse-complement and .opencode/skills/bio-reverse-complement in your project.
Going by SKILL.md and its folder, Bio Reverse Complement needs Python for the scripts in its folder and the command-line tools its instructions call (pip). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Bio Reverse Complement is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Bio Reverse Complement: Biopython Bioinformatics (aiming-lab/AutoResearchClaw, 15k stars), Biopython (davila7/claude-code-templates, 32k stars), Gget (davila7/claude-code-templates, 32k stars) and Bio Alignment Pairwise (majiayu000/claude-skill-registry, 666 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
GPTomics (a GitHub organization) maintains it in GPTomics/bioSkills, which has 1,215 GitHub stars. The repository holds 553 skills in this directory. The repository was last updated on August 15, 2026.
Source: GPTomics/bioSkills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.