Knowledge Work Plugins is an open-source collection of Claude extensions organized around roles such as productivity, sales, and customer support. Each plugin combines role-specific guidance, connectors, commands, and sub-agents so knowledge workers can use Claude with their team’s tools and processes. The catalogue entries are examples of, or workflows from, this plugin collection.
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 anthropics/knowledge-work-plugins --skill nextflow-developmentgit clone --depth 1 https://github.com/anthropics/knowledge-work-pluginsWrote 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/anthropics/knowledge-work-plugins/nextflow-development)<a href="https://agentmods.dev/skills/anthropics/knowledge-work-plugins/nextflow-development"><img src="https://agentmods.dev/badge/skills/anthropics/knowledge-work-plugins/nextflow-development/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/anthropics/knowledge-work-plugins/nextflow-development"><img src="https://agentmods.dev/badge/skills/anthropics/knowledge-work-plugins/nextflow-development.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 5 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Supply Chain · line 75 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- high Rogue Agent · line 76 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
- medium Privilege Escalation · line 68 Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
- medium Privilege Escalation · line 69 Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
- medium Privilege Escalation · line 82 Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
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 | $0.00095 | $0.02354 |
| Opus 5.5 | $0.00038 | $0.00942 |
| Sonnet 5.5 | $0.00019 | $0.00471 |
| Haiku 4.5 | $0.00010 | $0.00235 |
Grade D, and why
nextflow-development scanned grade D with 3 findings 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 1mo 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.
| Permission denied | `sudo usermod -aG docker $USER` then re-login | Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
| Not installed | `curl -s https://get.nextflow.io \| bash && mv nextflow ~/bin/` | Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| Not installed | `curl -s https://get.nextflow.io \| bash && mv nextflow ~/bin/` | Copies of this mod
4 near-identical copies found in the catalogue:
- nextflow-development — 100% identical, 0 lines differ
- nextflow-development — 100% identical, 0 lines differ
- nextflow-development — 100% identical, 0 lines differ
- nextflow-development — 97% identical, 8 lines differ
How it starts
The opening of the file, as written. The whole thing — 291 lines — stays where its author put it; the contents beside it link to each section on GitHub.
nf-core Pipeline Deployment
Run nf-core bioinformatics pipelines on local or public sequencing data.
Target users: Bench scientists and researchers without specialized bioinformatics training who need to run large-scale omics analyses—differential expression, variant calling, or chromatin accessibility analysis.
Workflow Checklist
- [ ] Step 0: Acquire data (if from GEO/SRA)
- [ ] Step 1: Environment check (MUST pass)
- [ ] Step 2: Select pipeline (confirm with user)
- [ ] Step 3: Run test profile (MUST pass)
- [ ] Step 4: Create samplesheet
- [ ] Step 5: Configure & run (confirm genome with user)
- [ ] Step 6: Verify outputs
Step 0: Acquire Data (GEO/SRA Only)
Skip this step if user has local FASTQ files.
For public datasets, fetch from GEO/SRA first. See references/geo-sra-acquisition.md for the full workflow.
Quick start:
# 1. Get study info
python scripts/sra_geo_fetch.py info GSE110004
# 2. Download (interactive mode)
python scripts/sra_geo_fetch.py download GSE110004 -o ./fastq -i
# 3. Generate samplesheet
python scripts/sra_geo_fetch.py samplesheet GSE110004 --fastq-dir ./fastq -o samplesheet.csv
DECISION POINT: After fetching study info, confirm with user:
- Which sample subset to download (if multiple data types)
- Suggested genome and pipeline
Then continue to Step 1.
Step 1: Environment Check
Run first. Pipeline will fail without passing environment.
python scripts/check_environment.py
All critical checks must pass. If any fail, provide fix instructions:
Docker issues
| Problem | Fix |
|---|---|
| Not installed | Install from https://docs.docker.com/get-docker/ |
| Permission denied | sudo usermod -aG docker $USER then re-login |
| Daemon not running | sudo systemctl start docker |
Nextflow issues
| Problem | Fix |
|---|---|
| Not installed | curl -s https://get.nextflow.io | bash && mv nextflow ~/bin/ |
| Version < 23.04 | nextflow self-update |
What ships with it
21 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.
- LICENSE.txt 10 KB
- references/geo-sra-acquisition.md 14 KB
- references/installation.md 1.8 KB
- references/pipelines/atacseq.md 4.1 KB
- references/pipelines/rnaseq.md 3.5 KB
- references/pipelines/sarek.md 3.9 KB
- references/troubleshooting.md 3.3 KB
- scripts/check_environment.py 14 KB runs code
- scripts/config/genomes.yaml 3.4 KB
- scripts/config/pipelines/atacseq.yaml 5.0 KB
- scripts/config/pipelines/rnaseq.yaml 4.1 KB
- scripts/config/pipelines/sarek.yaml 6.1 KB
- scripts/detect_data_type.py 9.7 KB runs code
- scripts/generate_samplesheet.py 15 KB runs code
- scripts/manage_genomes.py 16 KB runs code
- scripts/sra_geo_fetch.py 24 KB runs code
- scripts/utils/__init__.py 1.7 KB runs code
- scripts/utils/file_discovery.py 5.0 KB runs code
- scripts/utils/ncbi_utils.py 28 KB runs code
- scripts/utils/sample_inference.py 7.7 KB runs code
- scripts/utils/validators.py 8.2 KB runs code
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.
- 1mo ago First seen · 291 lines · 95 tokens per session scan D f30017df5d49
nextflow-development is a skill published in the GitHub repository anthropics/knowledge-work-plugins (29,887 stars, last pushed yesterday), licensed Apache-2.0. It adds 95 tokens to every session and 2,354 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it D with 3 findings (asks for root, downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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