Consensus SequencesSAFE
The largest open-source medical AI skills library for OpenClaw🦞.
Overview
The largest open-source medical AI skills library for OpenClaw🦞.
29f31a89230cOBSERVED · 2026-10-08What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
<!-- # COPYRIGHT NOTICE # This file is part of the "Universal Biomedical Skills" project. # Copyright (c) 2026 MD BABU MIA, PhD <[email protected]> # All Rights Reserved. # # This code is proprietary and confidential. # Unauthorized copying of this file, via any medium is strictly prohibited. # # Provenance: Authenticated by MD BABU MIA --> --- name: bio-consensus-sequences description: Generate consensus FASTA sequences by applying VCF variants to a reference using bcftools consensus. Use when creating sample-specific reference sequences or reconstructing haplotypes. tool_type: cli primary_tool: bcftools measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- # Consensus Sequences Apply variants to reference FASTA using bcftools consensus. ## Basic Usage ### Generate Consensus ```bash bcftools consensus -f reference.fa input.vcf.gz > consensus.fa ``` ### Specify Sample ```bash bcftools consensus -f reference.fa -s sample1 input.vcf.gz > sample1.fa ``` ### Output to File ```bash bcftools consensus -f reference.fa -o consensus.fa input.vcf.gz ``` ## Haplotype Selection ### First Haplotype Only ```bash bcftools consensus -f reference.fa -H 1 input.vcf.gz > haplotype1.fa ``` ### Second Haplotype Only ```bash bcftools consensus -f reference.fa -H 2 input.vcf.gz > haplotype2.fa ``` ### Haplotype Options | Option | Description | |--------|-------------| | `-H 1` | First haplotype | | `-H 2` | Second haplotype | | `-H A` | Apply all ALT alleles | | `-H R` | Apply REF alleles where heterozygous | | `-I` | Apply IUPAC ambiguity codes (separate flag) | ## IUPAC Codes for Heterozygous Sites ```bash bcftools consensus -f reference.fa -I input.vcf.gz > consensus_iupac.fa ``` Heterozygous sites encoded with IUPAC ambiguity codes: - A/G → R - C/T → Y - A/C → M - G/T → K - A/T → W - C/G → S ## Missing Data Handling ### Mark Missing as N ```bash bcftools consensus -f reference.fa -M N input.vcf.gz > consensus.fa ``` ### Mark Low Coverage as N Using a mask BED file: ```bash # Create mask from depth samtools depth input.bam | awk '$3<10 {print $1"\t"$2-1"\t"$2}' > low_coverage.bed # Apply mask bcftools consensus -f reference.fa -m low_coverage.bed input.vcf.gz > consensus.fa ``` ### Mask Options | Option | Description | |--------|-------------| | `-m FILE` | Mask regions in BED file with N | | `-M CHAR` | Character for masked regions (default N) | ## Region Selection ### Specific Region ```bash bcftools consensus -f reference.fa -r chr1:1000-2000 input.vcf.gz > region.fa ``` ### Multiple Regions Use with BED file to extract multiple regions. ## Chain Files ### Generate Chain File ```bash bcftools consensus -f reference.fa -c chain.txt input.vcf.gz > consensus.fa ``` Chain files map coordinates between reference and consensus: - Useful for liftover of annotations - Required when indels change sequence length ### Chain File Format ``` chain score ref_name ref_size ref_strand ref_start ref_end query_name query_size query_strand query_start query_end id ``` ## Sample-Specific Consensus ### For Each Sample ```bash for sample in $(bcftools query -l input.vcf.gz); do bcftools consensus -f reference.fa -s "$sample" input.vcf.gz > "${sample}.fa" done ``` ### Both Haplotypes ```bash sample="sample1" bcftools consensus -f reference.fa -s "$sample" -H 1 input.vcf.gz > "${sample}_hap1.fa" bcftools consensus -f reference.fa -s "$sample" -H 2 input.vcf.gz > "${sample}_hap2.fa" ``` ## Filtering Before Consensus ### PASS Variants Only ```bash bcftools view -f PASS input.vcf.gz | \ bcftools consensus -f reference.fa > consensus.fa ``` ### High-Quality Variants Only ```bash bcftools filter -i 'QUAL>=30 && INFO/DP>=10' input.vcf.gz | \ bcftools consensus -f reference.fa > consensus.fa ``` ### SNPs Only ```bash bcftools view -v snps input.vcf.gz | \ bcftools consensus -f reference.fa > consensus_snps.fa ``` ## Sequence Naming ### Default Naming Output uses reference sequence names. ### Custom Prefix ```bash bcftools consensus -f reference.fa -p "sample1_" input.vcf.gz > consensus.fa ``` Sequences named: `sample1_chr1`, `sample1_chr2`, etc. ## Common Workflows ### Phylogenetic Analysis Preparation ```bash # For each sample, generate consensus mkdir -p consensus for sample in $(bcftools query -l cohort.vcf.gz); do bcftools view -s "$sample" cohort.vcf.gz | \ bcftools view -c 1 | \ bcftools consensus -f reference.fa > "consensus/${sample}.fa" done # Combine for alignment cat consensus/*.fa > all_samples.fa ``` ### Viral Genome Assembly ```bash # Apply high-quality variants only bcftools filter -i 'QUAL>=30 && INFO/DP>=20' variants.vcf.gz | \ bcftools view -f PASS | \ bcftools consensus -f reference.fa -M N > consensus.fa ``` ### Gene-Specific Consensus ```bash # Extract gene region bcftools consensus -f reference.fa -r chr1:1000000-1010000 \ -s sample1 variants.vcf.gz > gene.fa ``` ### Masked Low-Coverage Regions ```bash # Create mask from coverage samtools depth -a input.bam | \ awk '$3<5 {print $1"\t"$2-1"\t"$2}' | \ bedtools merge > low_coverage.bed # Generate consensus with mask bcftools consensus -f reference.fa -m low_coverage.bed \ variants.vcf.gz > consensus.fa ``` ## Verify Consensus ### Check Differences ```bash # Align consensus to reference minimap2 -a reference.fa consensus.fa | samtools view -bS > alignment.bam # Or simple comparison diff <(grep -v "^>" reference.fa) <(grep -v "^>" consensus.fa) | head ``` ### Count Changes ```bash # Number of differences bcftools view -H input.vcf.gz | wc -l ``` ## Handling Overlapping Variants bcftools consensus handles overlapping variants automatically: - Applies variants in order - Warns about conflicts Check for warnings: ```bash bcftools consensus -f reference.fa input.vcf.gz 2>&1 | grep -i warn ``` ## cyvcf2 Consensus (Simple Cases) ### Manual
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (1)
Gates applied: no_behavioural_pass.
29f31a89230cfull audit observations/trust-audit/skill/freedomintelligence__consensus-sequences.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-08 | 29f31a89230c | SAFE | B | 89 | first audit |
Questions
What does the Consensus Sequences skill do?
The largest open-source medical AI skills library for OpenClaw🦞.
Is Consensus Sequences safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Consensus Sequences access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (29f31a89230c), read on 2026-10-08. The repository is watched, and a new audit runs when it changes — this is the first audit.