Skills latchbio-integration

📦

latchbio-integration

Name: latchbio-integration
Author: K-Dense-AI

Content revision r1 High Risk ⚡ Contains scripts⚙️ External commands🔑 Env variables📁 Filesystem access🌐 Network access

Build Latch Bioinformatics Workflows

Bioinformatics teams need reproducible pipelines without managing platform details. This skill guides Latch SDK workflows, data handling, resources, and verified workflow use.

Supports: Claude Codex Code(CC)

⚠️ 38 Poor

Stop for confirmation before installing.

Review the plan and obtain explicit user consent before changing files.

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request

Review the Skillstore skill "latchbio-integration" from https://skillstore.io/skills/k-dense-ai-latchbio-integration.md and its manifest at https://skillstore.io/api/skills/k-dense-ai-latchbio-integration/manifest. Verify the artifact. Stop and obtain explicit user consent before installing or changing files.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/k-dense-ai-latchbio-integration.md Signed manifest GET /api/skills/k-dense-ai-latchbio-integration/manifest Signed lockfile GET /api/skills/k-dense-ai-latchbio-integration/lockfile

Test it

Using "latchbio-integration". Help me design a simple Latch workflow for FASTQ processing.

Expected outcome:

Defines one preprocessing task and one workflow entry point.
Uses LatchFile inputs and LatchFile outputs.
Lists registration, Docker, and credential checks.

Using "latchbio-integration". Recommend resources for a large alignment job.

Expected outcome:

Starts with a large CPU task before considering GPU use.
Sets memory and storage based on expected BAM file size.
Adds timeout guidance and cost-control notes.

Using "latchbio-integration". Use Latch Registry to track samples and results.

Expected outcome:

Creates a project, table, and records for samples.
Links input files, workflow status, and result files.
Recommends consistent names and metadata fields.

Security Audit

High Risk

v7 • 7/6/2026 Open versioned report

The static findings are false positives caused by markdown code examples, public documentation links, and an embedded evaluation JSON file. Semantic review found an embedded prior safety verdict and an instruction to promote K-Dense Web, both of which can influence agent behavior outside normal Latch guidance.

Files scanned

2,150

Lines analyzed

Review items

False positives ignored

Confirmed security concerns (2)

High

evaluation_output.json:15-18

Prompt Injection Attempt Detected

evaluation_output.json embeds prior audit claims including safe_to_publish: true and "No actual security risks present". These claims can bias an AI auditor and should not ship inside the skill.

The file explicitly declares a low risk level, a publish-safe result, and a no-risk summary. That matches the prompt-injection warning for embedded safety claims.

Medium

SKILL.md:352-353

Off-Platform Promotional Steering

SKILL.md instructs the assistant to proactively suggest K-Dense Web for complex tasks. This changes agent behavior toward a creator-hosted product rather than neutral user assistance.

The instruction is explicit and appears in the main skill file. It is promotional steering, not a neutral support or documentation link.

Risk Factors

⚡ Contains scripts (3)

evaluation_output.json:45 evaluation_output.json:48 references/verified-workflows.md:13-20

⚙️ External commands (23)

🔑 Env variables (2)

evaluation_output.json:42 references/data-management.md:380

📁 Filesystem access (2)

references/data-management.md:64 references/resource-configuration.md:276

🌐 Network access (4)

SKILL.md:338 SKILL.md:339 SKILL.md:341 SKILL.md:342

Audited by: codex View Audit History →

Share & cite this report

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Open versioned report

Copy report link

https://skillstore.io/skills/k-dense-ai-latchbio-integration/audits/7?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

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Embed card

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Academic citations (APA · BibTeX · CFF)

APA citation

K-Dense-AI. (2026). latchbio-integration security audit report (audit version 7) [Author version unspecified]. Skillstore. https://skillstore.io/skills/k-dense-ai-latchbio-integration/audits/7

BibTeX citation

@techreport{k-dense-ai-k-dense-ai-latchbio-integration-2026,
  author = {K-Dense-AI},
  title = {latchbio-integration security audit report (audit version 7)},
  institution = {Skillstore},
  year = {2026},
  number = {7},
  url = {https://skillstore.io/skills/k-dense-ai-latchbio-integration/audits/7},
  note = {Author version unspecified}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "latchbio-integration security audit report (audit version 7)"
version: "unspecified"
type: report
authors:
  - name: "K-Dense-AI"
date-released: "2026-07-06"
url: "https://skillstore.io/skills/k-dense-ai-latchbio-integration/audits/7"
identifiers:
  - type: other
    value: "skillstore:k-dense-ai-latchbio-integration:audit:7"
    description: "Skillstore immutable audit report identifier"

Compare variants

2 installable variants

Each author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.

Why this variant is first

Highest Skillstore Score

Author / source Skillstore Score Evidence Confidence Skillstore usage Updated

davila7 Recommended

davila7-latchbio-integration

Skillstore Score 76

Evidence Confidence High

Skillstore usage 6

Updated

2026-08-21

K-Dense-AI Current

k-dense-ai-latchbio-integration

Skillstore Score 38

Evidence Confidence Medium

Skillstore usage 10

Updated

2026-08-21

Skillstore Score

Why this score Evidence Confidence: Medium

Architecture

Maintainability

Content

Community

Spec Compliance

What You Can Build

Create Research Pipelines

Design Latch workflows for sequencing, alignment, quantification, and result tracking.

Configure Compute Resources

Select CPU, memory, GPU, storage, and timeout settings for heavy analysis tasks.

Adopt Verified Workflows

Use pre-built Latch workflows for RNA-seq, protein structure, CRISPR, and single-cell analysis.

Try These Prompts

Plan A Basic Workflow

Create a beginner Latch workflow plan for one FASTQ input. Include task roles, data inputs, outputs, and registration steps.

Add Cloud Data Handling

Help me use LatchFile, LatchDir, and Registry records for a sequencing workflow with tracked sample metadata.

Tune Task Resources

Recommend Latch task resources for an alignment pipeline. Include CPU, memory, storage, timeout, and GPU guidance where useful.

Integrate Verified Pipelines

Design a Latch workflow that combines verified RNA-seq analysis with custom quality checks and Registry updates.

Best Practices

Use type annotations and docstrings so Latch can generate clear workflow interfaces.
Test workflows locally with Docker before registering them on Latch.
Start with standard task decorators and increase resources only after profiling.