bio-restriction-sites — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited bio-restriction-sites (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
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.
"Find restriction sites in my DNA sequence" → Locate cut positions for one or more restriction enzymes in linear or circular DNA.
Bio.Restriction.Analysis(rb, seq, linear=True).full()from Bio import SeqIO
from Bio.Restriction import EcoRI, BamHI, HindIII, RestrictionBatch, Analysis
record = SeqIO.read('sequence.fasta', 'fasta')
seq = record.seq
# Single enzyme
sites = EcoRI.search(seq) # Returns list of cut positionsfrom Bio.Restriction import EcoRI
sites = EcoRI.search(seq)
print(f'EcoRI cuts at positions: {sites}')
print(f'Number of sites: {len(sites)}')
# Check if enzyme cuts
if EcoRI.search(seq):
print('EcoRI cuts this sequence')
else:
print('EcoRI does not cut')from Bio.Restriction import RestrictionBatch, EcoRI, BamHI, HindIII, XhoI
batch = RestrictionBatch([EcoRI, BamHI, HindIII, XhoI])
# Method 1: batch.search()
results = batch.search(seq)
for enzyme, sites in results.items():
if sites:
print(f'{enzyme}: {sites}')
# Method 2: Analysis class
analysis = Analysis(batch, seq)
results = analysis.full()from Bio.Restriction import AllEnzymes, CommOnly
# All known enzymes (800+)
analysis = Analysis(AllEnzymes, seq)
# Commercially available only
analysis = Analysis(CommOnly, seq)
# Get results
results = analysis.full()
for enzyme, sites in results.items():
if sites:
print(f'{enzyme}: {sites}')from Bio.Restriction import EcoRI, Analysis, RestrictionBatch
# Linear DNA (default)
sites_linear = EcoRI.search(seq, linear=True)
# Circular DNA (plasmid)
sites_circular = EcoRI.search(seq, linear=False)
# With Analysis class
batch = RestrictionBatch([EcoRI, BamHI])
analysis = Analysis(batch, seq, linear=False) # Circularfrom Bio.Restriction import Analysis, CommOnly
analysis = Analysis(CommOnly, seq)
# Only enzymes that cut
analysis.print_that_cut()
# Only enzymes that don't cut (non-cutters)
analysis.print_that_dont_cut()
# Enzymes that cut once
analysis.print_once_cutters()
# Enzymes that cut twice
analysis.print_twice_cutters()
# Get as dictionary
cutters = analysis.only_cut()
non_cutters = analysis.only_dont_cut()
once_cutters = analysis.once_cutters()
twice_cutters = analysis.twice_cutters()from Bio.Restriction import EcoRI
# Recognition sequence
print(f'Site: {EcoRI.site}') # GAATTC
print(f'Esite: {EcoRI.esite}') # Recognition with cut position
# Cut characteristics
print(f'Overhang: {EcoRI.ovhg}') # 4 (positive = 5' overhang)
print(f'Blunt: {EcoRI.is_blunt()}') # False
print(f'5\' overhang: {EcoRI.is_5overhang()}') # True
print(f'3\' overhang: {EcoRI.is_3overhang()}') # False
# Overhang sequence
print(f'Overhang seq: {EcoRI.ovhgseq}') # AATT
# Isoschizomers (same recognition, different cut)
print(f'Isoschizomers: {EcoRI.isoschizomers()}')
# Compatible enzymes (same overhang)
print(f'Compatible: {EcoRI.compatible_end()}')from Bio.Restriction import (
EcoRI, BamHI, HindIII, XhoI, SalI, NotI, XbaI, SpeI,
NcoI, NdeI, BglII, PstI, KpnI, SacI, EcoRV, SmaI
)
common_enzymes = RestrictionBatch([
EcoRI, BamHI, HindIII, XhoI, SalI, NotI, XbaI,
NcoI, NdeI, BglII, PstI, KpnI, SacI, EcoRV, SmaI
])
analysis = Analysis(common_enzymes, seq)
results = analysis.full()from Bio.Restriction import AllEnzymes
# Get enzyme by string name
ecori = AllEnzymes.get('EcoRI')
sites = ecori.search(seq)
# Check if enzyme exists
if 'EcoRI' in AllEnzymes:
print('EcoRI is in database')from Bio import SeqIO
from Bio.Restriction import RestrictionBatch, EcoRI, BamHI
batch = RestrictionBatch([EcoRI, BamHI])
for record in SeqIO.parse('sequences.fasta', 'fasta'):
analysis = Analysis(batch, record.seq)
results = analysis.full()
print(f'{record.id}:')
for enzyme, sites in results.items():
if sites:
print(f' {enzyme}: {sites}')linear=False for circular DNA~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.