Agent skill

Repro Enforcer

by ClawBio in ClawBio/ClawBio

Export any bioinformatics analysis as a reproducible bundle with Conda environment, Singularity container definition, and Nextflow pipeline.

MITAuto-check passedResearch & Science

Install Repro Enforcer

skills CLI
$ npx skills add ClawBio/ClawBio --skill repro-enforcer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ClawBio/ClawBio repro-enforcer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ClawBio/ClawBio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repro-enforcer .claude/skills/repro-enforcer && rm -rf skills-src

Use ~/.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/

Facts

Skill name
repro-enforcer
GitHub stars
1.2k
Used in
3 other repos
Token cost
~413 tokens
SKILL.md length
146 words
Files
1
Skills in repo
104
Repo updated
First seen
Licence
MIT

At a glance

Export any bioinformatics analysis as a reproducible bundle with Conda environment, Singularity container definition, and Nextflow pipeline.

  • Works in 7 steps: Conda Export: Capture the current… → Singularity Definition: Generate a… → Docker Compose: Generate Dockerfile and… → …
  • Tasks that involve Reproducible research
  • SKILL.md covers Core Capabilities, Dependencies, Example Queries and Status
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Repro Enforcer is an agent skill from ClawBio/ClawBio. Export any bioinformatics analysis as a reproducible bundle with Conda environment, Singularity container definition, and Nextflow pipeline.

Its SKILL.md is about 410 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Reproducible research and Bioinformatics. It works with Nextflow and Docker. The repository describes itself as: 🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free. The licence is MIT.

When your agent uses it

  • Tasks that involve Reproducible research
  • Tasks that involve Bioinformatics

Example prompts

  • “/repro-enforcer”

Requirements

  • Python 3
  • Docker

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Conda Export: Capture the current environment as a pinned environment.yml
  2. Singularity Definition: Generate a Singularity .def file from the analysis dependencies
  3. Docker Compose: Generate Dockerfile and docker-compose.yml for containerised execution
  4. Nextflow Pipeline: Convert a sequence of shell commands into a Nextflow DSL2 pipeline
  5. Snakemake Workflow: Alternative workflow export as Snakefile
  6. Checksum Manifest: SHA-256 hashes for all input/output files
  7. README Generation: Human-readable reproduction instructions

What it can do on your machine

Read from SKILL.md and the folder at commit dece754. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Repro Enforcer loads about 413 tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 146 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~413

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from ClawBio/ClawBio at commit dece754, republished under its MIT licence (© ClawBio). 146 words, ~413 tokens.

Download SKILL.mdSave it as .claude/skills/repro-enforcer/SKILL.md (or your agent's skills folder).
name
repro-enforcer
description
Export any bioinformatics analysis as a reproducible bundle with Conda environment, Singularity container definition, and Nextflow pipeline.
license
MIT
metadata.version
0.1.0

🦖 Repro Enforcer

You are the Repro Enforcer, a specialised agent for making bioinformatics analyses reproducible and portable.

Core Capabilities

  1. Conda Export: Capture the current environment as a pinned environment.yml
  2. Singularity Definition: Generate a Singularity .def file from the analysis dependencies
  3. Docker Compose: Generate Dockerfile and docker-compose.yml for containerised execution
  4. Nextflow Pipeline: Convert a sequence of shell commands into a Nextflow DSL2 pipeline
  5. Snakemake Workflow: Alternative workflow export as Snakefile
  6. Checksum Manifest: SHA-256 hashes for all input/output files
  7. README Generation: Human-readable reproduction instructions

Dependencies

  • pyyaml (YAML generation)
  • Optional: conda (environment capture), singularity (container build), nextflow (pipeline validation)

Example Queries

  • "Make this analysis reproducible as a Nextflow pipeline"
  • "Export my current conda environment with pinned versions"
  • "Generate a Singularity container for this workflow"
  • "Create a checksums file for all input and output data"

Status

Planned -- implementation targeting Week 6 (Apr 3-9).

© ClawBio, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/repro-enforcer of ClawBio/ClawBio.

Open the folder on GitHubat commit dece754

Used in 3 other repositories

We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in ClawBio/ClawBio, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Repro Enforcer 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.

Repro Enforcer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Repro Enforcer this skillClawBio/ClawBio1.2k3 repos~413Automated safety check: PassMIT
Bio Workflow Management Nf Core PipelinesGPTomics/bioSkills1.2k1 repos~4.1kAutomated safety check: PassMIT
LaminDB Biological Data Managementdavila7/claude-code-templates32k12 repos~3.6kAutomated safety check: PassMIT
Latchbio Integrationdavila7/claude-code-templates32k11 repos~2.4kAutomated safety check: PassMIT
Latchbio IntegrationK-Dense-AI/scientific-agent-skills48k1 repos~2.5kAutomated safety check: NotesMIT
PacsomaticK-Dense-AI/scientific-agent-skills48k1 repos~1.6kAutomated safety check: PassMIT

Similar skills

  • Runs and configures curated nf-core community Nextflow pipelines (rnaseq, sarek, atacseq, methylseq, ampliseq, taxprofiler, fetchngs) reproducibly, pinning the pipeline revision with -r and…

    1.2k GitHub starsUsed in 1 repo~4.1k tokens
    Research & ScienceAuto-check passed
  • LaminDB Biological Data Management

    davila7/claude-code-templates

    Manages biological datasets with LaminDB: versioned artifacts, run lineage, ontology-based annotation, schema validation and links to workflow managers and ML tools.

    32k GitHub starsUsed in 12 repos~3.6k tokens
    Research & ScienceAuto-check passed
  • Latchbio Integration

    davila7/claude-code-templates

    Latch platform for bioinformatics workflows. An agent skill from davila7/claude-code-templates.

    32k GitHub starsUsed in 11 repos~2.4k tokens
    Research & ScienceAuto-check passed
  • Latchbio Integration

    K-Dense-AI/scientific-agent-skills

    Builds, registers, debugs, and operates bioinformatics workflows on Latch using the Python SDK, CLI, Latch Data and Registry, Nextflow, Snakemake, programmatic execution, and Latch MCP.

    48k GitHub starsUsed in 1 repo~2.5k tokens
    Research & ScienceAuto-check: notes
  • Pacsomatic

    K-Dense-AI/scientific-agent-skills

    Prepares and launches nf-core/pacsomatic matched tumor-normal PacBio HiFi genomics workflows from unaligned BAM inputs.

    48k GitHub starsUsed in 1 repo~1.6k tokens
    Research & ScienceAuto-check passed
  • Dnanexus Integration

    K-Dense-AI/scientific-agent-skills

    Builds and operates reproducible genomics workloads on DNAnexus with the dx CLI, dxpy, apps/applets, native workflows, dxCompiler, and Nextflow.

    48k GitHub starsUsed in 1 repo~3.1k tokens
    Research & ScienceAuto-check passed

More from ClawBio/ClawBio

All 104 skills in this repo
  • Fetch a region of cis-eQTL summary statistics from EBI eQTL Catalogue v7+ via tabix-on-FTP.

    1.2k GitHub starsUsed in 1 repo~4.7k tokens
    Auto-check passed
  • Xena Tcga Gene Query

    ClawBio/ClawBio

    Query TCGA tumor biology through the ucscxenatoolspy API. An agent skill from ClawBio/ClawBio.

    1.2k GitHub stars~4.7k tokensUpdated today
    Auto-check passed
  • Fetch a region of GWAS summary statistics from the NHGRI-EBI GWAS Catalog harmonised collection via tabix-on-FTP.

    1.2k GitHub starsUsed in 1 repo~3.5k tokens
    Auto-check passed
  • Dnasp

    ClawBio/ClawBio

    Population genetics of pre-aligned DNA sequences or multi-sample VCFs using selected DnaSP 6 methods.

    1.2k GitHub stars~5.1k tokensUpdated today
    Auto-check passed
  • Compute pairwise r² between a lead variant and every variant in a window using the 1000 Genomes Phase 3 GRCh38 reference panel, ancestry-stratified.

    1.2k GitHub stars~3.9k tokensUpdated today
    Auto-check passed
  • Ncbi Datasets

    ClawBio/ClawBio

    Download genomes, genes, virus sequences, and taxonomy data from NCBI using the datasets and dataformat CLI tools.

    1.2k GitHub starsUsed in 1 repo~2.8k tokens
    Auto-check passed

Works with

Questions about Repro Enforcer

What does Repro Enforcer do?

Export any bioinformatics analysis as a reproducible bundle with Conda environment, Singularity container definition, and Nextflow pipeline. Repro Enforcer is an agent skill from ClawBio/ClawBio. Export any bioinformatics analysis as a reproducible bundle with Conda environment, Singularity container definition, and Nextflow pipeline.

When should I use Repro Enforcer?

Repro Enforcer fits situations like: tasks that involve Reproducible research; tasks that involve Bioinformatics.

How do I install Repro Enforcer in Claude Code?

Run `npx skills add ClawBio/ClawBio --skill repro-enforcer -a claude-code`. Or copy the skill folder (skills/repro-enforcer in ClawBio/ClawBio) into .claude/skills/repro-enforcer in your project. Claude Code loads it when a task matches its description.

How do I install Repro Enforcer in Codex?

Run `npx skills add ClawBio/ClawBio --skill repro-enforcer -a codex`. Or copy the skill folder (skills/repro-enforcer in ClawBio/ClawBio) into .agents/skills/repro-enforcer in your project. Codex loads it when a task matches its description.

Can I use Repro Enforcer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ClawBio/ClawBio --skill repro-enforcer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/repro-enforcer, .gemini/skills/repro-enforcer, .github/skills/repro-enforcer and .opencode/skills/repro-enforcer in your project.

What does Repro Enforcer need to run?

SKILL.md names no scripts, command-line tools or credentials: Repro Enforcer is instructions for the agent only. Our summary lists: Python 3; Docker.

Does Repro Enforcer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Repro Enforcer safe to install?

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.

What licence does Repro Enforcer use?

Repro Enforcer is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Repro Enforcer use?

About 413 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Repro Enforcer?

Skills that share tags, products or a category with Repro Enforcer: Bio Workflow Management Nf Core Pipelines (GPTomics/bioSkills, 1.2k stars), LaminDB Biological Data Management (davila7/claude-code-templates, 32k stars), Latchbio Integration (davila7/claude-code-templates, 32k stars) and Latchbio Integration (K-Dense-AI/scientific-agent-skills, 48k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Repro Enforcer?

ClawBio (a GitHub organization) maintains it in ClawBio/ClawBio, which has 1,154 GitHub stars. The repository holds 104 skills in this directory. The repository was last updated on October 8, 2026.

Source: ClawBio/ClawBio on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.