Best for
- Setting up linting for shell scripts in CI/CD pipelines
- Analyzing existing shell scripts for issues
- Understanding ShellCheck error codes and warnings
wshobson/agents/plugins/shell-scripting/skills/shellcheck-configuration/SKILL.md
Master ShellCheck static analysis configuration and usage for shell script quality. Use when setting up linting infrastructure, fixing code issues, or ensuring script portability.
Decision brief
Comprehensive guidance for configuring and using ShellCheck to improve shell script quality, catch common pitfalls, and enforce best practices through static code analysis.
Compatibility matrix
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/wshobson/agents --skill "plugins/shell-scripting/skills/shellcheck-configuration"Inspect the Agent Skill "shellcheck-configuration" from https://github.com/wshobson/agents/blob/c4b82b0ad771190355eb8e204b1329732a18449a/plugins/shell-scripting/skills/shellcheck-configuration/SKILL.md at commit c4b82b0ad771190355eb8e204b1329732a18449a. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
Setting up linting for shell scripts in CI/CD pipelines
Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.
1. Run ShellCheck in CI/CD - Catch issues before merging 2. Configure for your target shell - Don't analyze bash as sh 3. Document exclusions - Explain why violations are suppressed 4. Address violations - Don't just disable warnings 5. Enable strict mode - Use --enable=all with…
Permission review
The documentation asks the agent to read local files, directories, or repositories.
Detailed pattern documentation lives in `references/details.md`. Read that file when the navigation tier above is insufficient.Evidence record
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 66/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 38,313 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Comprehensive guidance for configuring and using ShellCheck to improve shell script quality, catch common pitfalls, and enforce best practices through static code analysis.
Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.
--enable=all with careful exclusionsAlternatives
coreyhaines31/marketingskills
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program
event4u-app/agent-config
Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
K-Dense-AI/scientific-agent-skills
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
K-Dense-AI/scientific-agent-skills
Use NeuroKit2 to build or audit reproducible research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity. Trigger when code imports neurokit2 or needs its current APIs, schemas, and method-aware validation—not for diagnosis or device validation.