Agent skill

Analyze

Analyzes code quality, complexity, patterns across codebase.

Apache-2.0Auto-check passedDevelopment

Install Analyze

skills CLI

$ npx skills add softspark/ai-toolkit --skill analyze -a claude-code

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

GitHub CLI

$ gh skill install softspark/ai-toolkit analyze --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/softspark/ai-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/app/skills/analyze .claude/skills/analyze && 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/

Paste into Claude Code

Install the "analyze" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/analyze into .claude/skills/analyze/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/softspark/ai-toolkit/tree/main/app/skills/analyze

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add softspark/ai-toolkit --skill analyze -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install softspark/ai-toolkit analyze --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/app/skills/analyze .agents/skills/analyze && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "analyze" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/analyze into .agents/skills/analyze/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add softspark/ai-toolkit --skill analyze -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install softspark/ai-toolkit analyze --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/app/skills/analyze .cursor/skills/analyze && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "analyze" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/analyze into .cursor/skills/analyze/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/softspark/ai-toolkit.git --path app/skills/analyze

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add softspark/ai-toolkit --skill analyze -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install softspark/ai-toolkit analyze --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/app/skills/analyze .gemini/skills/analyze && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "analyze" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/analyze into .gemini/skills/analyze/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install softspark/ai-toolkit analyze

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add softspark/ai-toolkit --skill analyze -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .github/skills && cp -r skills-src/app/skills/analyze .github/skills/analyze && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "analyze" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/analyze into .github/skills/analyze/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add softspark/ai-toolkit --skill analyze -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install softspark/ai-toolkit analyze --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/softspark/ai-toolkit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/app/skills/analyze .opencode/skills/analyze && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "analyze" agent skill from https://github.com/softspark/ai-toolkit/tree/main/app/skills/analyze into .opencode/skills/analyze/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: analyze
GitHub stars: 179
Token cost: ~1k tokens
SKILL.md length: 384 words
Files: 2 (incl. scripts)
Skills in repo: 112
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Analyzes code quality, complexity, patterns across codebase.

Works in 4 steps: Scans codebase or specific path → Analyzes code quality metrics → Identifies patterns and anti-patterns → …
Tasks that involve Code quality
SKILL.md covers Usage, What This Command Does, Analysis Types and Output Format, plus 7 more sections
Runs Python scripts from its folder; calls python3 and mypy

What it does

Analyze is an agent skill from softspark/ai-toolkit. Analyzes code quality, complexity, patterns across codebase. Triggers: quality report, hotspot scan, code analysis, architecture signal.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/complexity.py`).

It sits in Development, covering Code quality and Linting and formatting. The repository describes itself as: Professional-grade AI coding toolkit: 94 skills, 44 agents, multi-platform (Claude, Cursor, Windsurf, Copilot, Gemini, Cline, Roo Code, Aider, Augment, Antigravity, Codex CLI… The licence is Apache-2.0.

When your agent uses it

Tasks that involve Code quality
Tasks that involve Linting and formatting

Example prompts

“Use the analyze skill to analyz code quality, complexity, patterns across codebase”
“/analyze”

Requirements

Python 3
Pre-approved tools (allowed-tools): Read, Grep, Glob

Workflow steps

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

Scans codebase or specific path
Analyzes code quality metrics
Identifies patterns and anti-patterns
Reports findings with recommendations

What it can do on your machine

Read from SKILL.md and the folder at commit d64db2b. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
- Read
- Grep
- Glob
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python3
- mypy
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

Analyze loads about 1k tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 384 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~36
When it runs · the whole SKILL.md, loaded when a task matches: ~1k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from softspark/ai-toolkit at commit d64db2b, republished under its Apache-2.0 licence (© softspark). 384 words, ~1,010 tokens.

Download SKILL.mdSave it as .claude/skills/analyze/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: analyze
description: Analyzes code quality, complexity, patterns across codebase. Triggers: quality report, hotspot scan, code analysis, architecture signal.
allowed-tools: Read, Grep, Glob
user-invocable: true
effort: medium
argument-hint: [path or pattern]

Code Analysis

$ARGUMENTS

Analyze code quality, complexity, and patterns.

Usage

/analyze [path] [--type=<type>]

What This Command Does

Scans codebase or specific path
Analyzes code quality metrics
Identifies patterns and anti-patterns
Reports findings with recommendations

Analysis Types

Type	Description
`quality`	Code quality metrics (default)
`security`	Security vulnerability scan
`complexity`	Cyclomatic complexity
`dependencies`	Dependency analysis
`coverage`	Test coverage gaps

Output Format

markdown

## Code Analysis Report

### Summary
- **Files Analyzed**: [count]
- **Issues Found**: [count]
- **Quality Score**: [score]/100

### Metrics
| Metric | Value | Threshold |
|--------|-------|-----------|
| Complexity | [avg] | <10 |
| Duplication | [%] | <5% |
| Coverage | [%] | >70% |

### Issues by Severity
- Critical: [count]
- High: [count]
- Medium: [count]
- Low: [count]

### Top Issues
1. **[Issue]** - [file:line]
   - [Description]
   - Fix: [Recommendation]

### Patterns Detected
- [Pattern 1]: [locations]
- [Pattern 2]: [locations]

### Recommendations
1. [Recommendation with priority]

Automated Complexity Analysis

Run the bundled script for a quick complexity report:

bash

python3 ${CLAUDE_SKILL_DIR}/scripts/complexity.py .

Reports file counts by type, largest files, TODO/FIXME counts, and total code lines.

Common Rationalizations

Excuse	Why It's Wrong
"The linter is green, the code is fine"	Linters catch syntax, not design flaws — analysis covers architecture and patterns
"We know where the problems are"	Intuition misses systemic issues — data-driven analysis reveals hidden hotspots
"Analysis takes too long"	A 5-minute scan prevents weeks of debugging — front-load the investment
"It's legacy code, analysis won't help"	Legacy code benefits most — find the critical paths before they break

Tools Used

Language	Tools
Python	ruff, mypy, pylint
JavaScript	eslint, tsc
Go	golangci-lint
Rust	clippy

Rules

MUST report measured values — never assert "this is fine" without numbers
NEVER modify source files (read-only skill)
CRITICAL: if the requested analysis type is unsupported for the detected language, say so explicitly and stop — do not fake metrics

Show full SKILL.md (174 more words)Show less

Gotchas

Linters that exit 0 still may have skipped files (gitignore rules, no-match patterns, parse errors). Always read the "N files checked" line before reporting "clean".
Coverage percentages silently exclude generated code, migrations, and __init__.py by default. Report coverage with the exclude list, not the headline number alone.
ruff and pylint disagree on several rules (line length, import order) — pick one as the source of truth for the project and note the choice in the report.
mypy --strict on a codebase that was not authored under strict mode will return hundreds of spurious findings. Start with --ignore-missing-imports and a file allowlist before claiming the codebase is untyped.

When NOT to Use

For a single-PR code review — use /review instead
For fixing a specific bug — use /debug or /fix
For architectural friction and module design — use /architecture-audit
For a vulnerability scan of dependencies — use /cve-scan

Found quality issues? → /refactor to fix them systematically
Security issues detected? → /cve-scan for dependency audit
Want deeper architecture review? → /architecture-audit for friction discovery
Performance hotspots found? → /workflow performance-optimization

Files

SKILL.md and 1 other file (scripts) in app/skills/analyze of softspark/ai-toolkit.

SKILL.md
scripts/complexity.py

Open the folder on GitHubat commit d64db2b

Compare with similar skills

Analyze 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.

Analyze compared with similar skills
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Analyze this skillsoftspark/ai-toolkit	179	—	~1k	Automated safety check: Pass	Apache-2.0	today
Install Anti-Slop Oxlint Rulesdmmulroy/anti-slop	5.2k	—	~2.2k	Automated safety check: Pass	MIT	27 days ago
Add Opik Code Quality Hookcomet-ml/opik	22k	—	~2.3k	Automated safety check: Pass	Apache-2.0	today
LobeHub Alint Rule Set Maintenancelobehub/lobehub	83k	—	~1.9k	Automated safety check: Pass	Custom licence	today
Code Quality Gatefengshao1227/ccg-workflow	5.9k	—	~593	Automated safety check: Notes	MIT	22 days ago
Experiment Iterative CoderEvoScientist/EvoSkills	474	3 repos	~2.5k	Automated safety check: Pass	Apache-2.0	7 days ago

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Questions about Analyze

What does Analyze do?

Analyzes code quality, complexity, patterns across codebase. Analyze is an agent skill from softspark/ai-toolkit. Analyzes code quality, complexity, patterns across codebase.

When should I use Analyze?

Analyze fits situations like: tasks that involve Code quality; tasks that involve Linting and formatting.

How do I install Analyze in Claude Code?

Run `npx skills add softspark/ai-toolkit --skill analyze -a claude-code`. Or copy the skill folder (app/skills/analyze in softspark/ai-toolkit) into .claude/skills/analyze in your project. Claude Code loads it when a task matches its description.

How do I install Analyze in Codex?

Run `npx skills add softspark/ai-toolkit --skill analyze -a codex`. Or copy the skill folder (app/skills/analyze in softspark/ai-toolkit) into .agents/skills/analyze in your project. Codex loads it when a task matches its description.

Can I use Analyze 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 softspark/ai-toolkit --skill analyze -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyze, .gemini/skills/analyze, .github/skills/analyze and .opencode/skills/analyze in your project.

What does Analyze need to run?

Going by SKILL.md and its folder, Analyze needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and mypy). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Grep, Glob.

Does Analyze 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 Analyze 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Analyze use?

Analyze is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Analyze use?

About 1k tokens (SKILL.md is roughly 4k 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 Analyze?

Skills that share tags, products or a category with Analyze: Install Anti-Slop Oxlint Rules (dmmulroy/anti-slop, 5.2k stars), Add Opik Code Quality Hook (comet-ml/opik, 22k stars), LobeHub Alint Rule Set Maintenance (lobehub/lobehub, 83k stars) and Code Quality Gate (fengshao1227/ccg-workflow, 5.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Analyze?

softspark (a GitHub user) maintains it in softspark/ai-toolkit, which has 179 GitHub stars. The repository holds 112 skills in this directory. The repository was last updated on October 7, 2026.

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

Install Analyze

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Code Analysis

Usage

What This Command Does

Analysis Types

Output Format

Automated Complexity Analysis

Common Rationalizations

Tools Used

Rules

Gotchas

When NOT to Use

Related Skills

Files

Compare with similar skills

Similar skills

More from softspark/ai-toolkit

Related

Questions about Analyze