Smell Check
Zhen-Bo/smell-check
Runs a smell-first audit on a user-chosen path set: measures structure metrics, applies a named size profile, and reports code smells and test smells with evidence strength.
Hotspot analysis: run npx aidd churn, interpret the ranked results, and recommend specific files to review or refactor with concrete strategies.
$ npx skills add paralleldrive/aidd --skill aidd-churn -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install paralleldrive/aidd aidd-churn --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/paralleldrive/aidd.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ai/skills/aidd-churn .claude/skills/aidd-churn && rm -rf skills-srcUse ~/.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/
Install the "aidd-churn" agent skill from https://github.com/paralleldrive/aidd/tree/main/ai/skills/aidd-churn into .claude/skills/aidd-churn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aidd-churn", 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 install https://github.com/paralleldrive/aidd/tree/main/ai/skills/aidd-churnType 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.
$ npx skills add paralleldrive/aidd --skill aidd-churn -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install paralleldrive/aidd aidd-churn --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/paralleldrive/aidd.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ai/skills/aidd-churn .agents/skills/aidd-churn && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aidd-churn" agent skill from https://github.com/paralleldrive/aidd/tree/main/ai/skills/aidd-churn into .agents/skills/aidd-churn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aidd-churn", 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.
$ npx skills add paralleldrive/aidd --skill aidd-churn -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install paralleldrive/aidd aidd-churn --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/paralleldrive/aidd.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ai/skills/aidd-churn .cursor/skills/aidd-churn && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "aidd-churn" agent skill from https://github.com/paralleldrive/aidd/tree/main/ai/skills/aidd-churn into .cursor/skills/aidd-churn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aidd-churn", 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 https://github.com/paralleldrive/aidd.git --path ai/skills/aidd-churn--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add paralleldrive/aidd --skill aidd-churn -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install paralleldrive/aidd aidd-churn --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/paralleldrive/aidd.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ai/skills/aidd-churn .gemini/skills/aidd-churn && rm -rf skills-srcUse ~/.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/
Install the "aidd-churn" agent skill from https://github.com/paralleldrive/aidd/tree/main/ai/skills/aidd-churn into .gemini/skills/aidd-churn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aidd-churn", 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.
$ gh skill install paralleldrive/aidd aidd-churnInstalls 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).
$ npx skills add paralleldrive/aidd --skill aidd-churn -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/paralleldrive/aidd.git skills-src && mkdir -p .github/skills && cp -r skills-src/ai/skills/aidd-churn .github/skills/aidd-churn && rm -rf skills-srcUse ~/.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/
Install the "aidd-churn" agent skill from https://github.com/paralleldrive/aidd/tree/main/ai/skills/aidd-churn into .github/skills/aidd-churn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aidd-churn", 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.
$ npx skills add paralleldrive/aidd --skill aidd-churn -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install paralleldrive/aidd aidd-churn --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/paralleldrive/aidd.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ai/skills/aidd-churn .opencode/skills/aidd-churn && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "aidd-churn" agent skill from https://github.com/paralleldrive/aidd/tree/main/ai/skills/aidd-churn into .opencode/skills/aidd-churn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aidd-churn", 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.
aidd-churnHotspot analysis: run npx aidd churn, interpret the ranked results, and recommend specific files to review or refactor with concrete strategies.
Aidd Churn is an agent skill from paralleldrive/aidd. Hotspot analysis: run npx aidd churn, interpret the ranked results, and recommend specific files to review or refactor with concrete strategies. Use before a PR review, before splitting a large diff, or when asked to identify the highest-risk code in a codebase.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `README.md`). Compatibility notes: Requires git history and Node.js 16+. Must be run inside a git repository.
It sits in Development, covering Refactoring and Pull requests. The repository describes itself as: The standard framework for AI Driven Development. The licence is MIT.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 9a7c8e3. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
npxFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Requires git history and Node.js 16+. Must be run inside a git repository.
From compatibility in the SKILL.md frontmatter.
Aidd Churn loads about 1.1k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 202 words of instructions outside code blocks.
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.
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.
The full file from paralleldrive/aidd at commit 9a7c8e3, republished under its MIT licence (© paralleldrive). 202 words, ~1,077 tokens.
.claude/skills/aidd-churn/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Act as a top-tier software quality analyst to identify high-risk files and recommend targeted refactoring strategies using composite hotspot scoring.
Competencies { hotspot analysis (LoC × churn × complexity scoring) code quality interpretation (density as duplication signal) refactoring strategy (decomposition, complexity reduction, interface extraction) PR scoping (splitting diffs by risk profile) }
Constraints { Always run the CLI before making recommendations — never guess at hotspots Read README.md (colocated) for metric definitions, score formula, and interpretation ranges Name specific files; explain which signal (LoC, churn, complexity, or density) is driving each score For each recommendation, propose a concrete strategy — not generic advice Communicate as friendly markdown prose — not raw SudoLang syntax (Cx > 9 | LoC > 400 | density < 35%) => check whether the file was below the threshold before the current diff (i.e. the diff pushed it over). If so, analyze refactor paths — show your work: 🎯 restate |> 💡 ideate |> 🪞 reflectCritically |> 🔭 expandOrthogonally |> ⚖️ scoreRankEvaluate |> 💬 respond. If a refactor path drops the composite score (LoC × churn × Cx) by >15% (e.g. by splitting up large files), recommend it before merging; otherwise report findings. }
collectHotspots({ days = 90, top = 20, minLoc = 50 } = {}) => hotspotReport {
run `npx aidd churn --days $days --top $top --min-loc $minLoc`
prReview => run `npx aidd churn --json` to cross-reference file paths against the diff
}interpretResults(hotspotReport) => analysis {
for each file in hotspotReport {
identify the dominant signal {
highLoC => large file; review surface area risk
highChurn => frequently changed; instability risk
highCx => complex branches; test and comprehension risk
lowDensity => compresses heavily; structural repetition likely present
}
note: a file scoring high on multiple signals is the highest-priority target
}
// See README.md for interpretation ranges and score formula
}recommend(analysis, { context = "standalone" } = {}) => recommendations {
for each top hotspot {
state: file path and score
explain: WHY it ranks high — cite the specific metric(s) driving the score
propose a strategy {
highLoC => extract cohesive sub-modules or pure utility functions into separate files
highChurn => split responsibilities so stable interfaces churn less
highCx => flatten conditionals, extract named predicates, replace switch trees with lookup maps
lowDensity => eliminate copy-paste by extracting shared helpers
}
estimate: which metric drops the most after the refactor
}
if context === "prReview" {
cross-reference: identify files in both the diff AND the top hotspot results
for each match {
flag: "⚠️ This file is a hotspot"
explain: which signal (LoC, churn, complexity, or density) is driving the risk
reviewGuidance: prioritize this file for extra scrutiny — changes here have higher blast radius
recommend: consider splitting this file or extracting stable interfaces before merging
}
if no matches found => note that the diff avoids known hotspots (lower risk)
}
}analyze = collectHotspots |> interpretResults |> recommend
# Default: top 20 files, 90-day git window, minimum 50 LoC
npx aidd churn
# Adjust window and thresholds
npx aidd churn --days 30 --top 10 --min-loc 100
# Machine-readable output (useful for cross-referencing with a PR diff)
npx aidd churn --jsonCommands { 📊 /aidd-churn - run hotspot analysis and get specific recommendations for the highest-risk files }
© paralleldrive, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in ai/skills/aidd-churn of paralleldrive/aidd.
Open the folder on GitHubat commit 9a7c8e3
Aidd Churn 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Aidd Churn this skillparalleldrive/aidd | 384 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Smell CheckZhen-Bo/smell-check | 239 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Coding Agentmastra-ai/mastra | 29k | — | ~2.3k | Automated safety check: Pass | Custom licence | |
| Code ReviewerYikai-Liao/symusic | 189 | 1 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Typescript React ReviewerSuFxGIT/scoutarr | 114 | — | ~1.7k | Automated safety check: Pass | None | |
| Memtrace Change Impact Analysissyncable-dev/memtrace-public | 487 | — | ~1.4k | Automated safety check: Pass | Custom licence |
Zhen-Bo/smell-check
Runs a smell-first audit on a user-chosen path set: measures structure metrics, applies a named size profile, and reports code smells and test smells with evidence strength.
mastra-ai/mastra
Authoring playbook for building agents that write, edit, review, or refactor code.
Yikai-Liao/symusic
Analyzes code diffs and files to identify bugs, security vulnerabilities (SQL injection, XSS, insecure deserialization), code smells, N+1 queries, naming issues, and architectural concerns, then…
SuFxGIT/scoutarr
Expert code reviewer for TypeScript + React 19 applications.
syncable-dev/memtrace-public
Compute what a planned source-code change will break — blast radius, affected processes, cross-repo callers, temporal stability, and Cortex decision-memory constraints — and produce a risk-rated…
microfeed/microfeed
Develop and contribute changes to the microfeed repository safely from branch creation through validation, commit, push, and draft pull request.
paralleldrive/aidd
Guides creating, reviewing or refactoring AI-Driven Development skills so each one stays minimal, composable and named around a single clear function.
paralleldrive/aidd
Enforces a split of UI components into terminal and layout types, with layout components composing others through standard layout tokens, for cleaner structure and fewer re-renders.
paralleldrive/aidd
Enforces @adobe/data/ecs practices when writing Database.Plugin definitions, including property order, plugin composition, services, components, resources and archetypes.
paralleldrive/aidd
Has your agent throw and catch JavaScript and TypeScript errors with the error-causes library, using named causes, preserved originals and routed handlers.
paralleldrive/aidd
Teaches the saga pattern with call and put so network requests and side effects stay out of the logic and sagas can be tested without mocks.
paralleldrive/aidd
Rules for writing Lit elements in an AIDD project: binding elements on DatabaseElement, observed values, presentation components and action-style callbacks.
Categories
Hotspot analysis: run npx aidd churn, interpret the ranked results, and recommend specific files to review or refactor with concrete strategies. Aidd Churn is an agent skill from paralleldrive/aidd. Hotspot analysis: run npx aidd churn, interpret the ranked results, and recommend specific files to review or refactor with concrete strategies.
Aidd Churn fits situations like: tasks that involve Refactoring; tasks that involve Pull requests.
Run `npx skills add paralleldrive/aidd --skill aidd-churn -a claude-code`. Or copy the skill folder (ai/skills/aidd-churn in paralleldrive/aidd) into .claude/skills/aidd-churn in your project. Claude Code loads it when a task matches its description.
Run `npx skills add paralleldrive/aidd --skill aidd-churn -a codex`. Or copy the skill folder (ai/skills/aidd-churn in paralleldrive/aidd) into .agents/skills/aidd-churn in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add paralleldrive/aidd --skill aidd-churn -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aidd-churn, .gemini/skills/aidd-churn, .github/skills/aidd-churn and .opencode/skills/aidd-churn in your project.
Going by SKILL.md and its folder, Aidd Churn needs the command-line tools its instructions call (npx). Our summary lists: Node.js. Compatibility (from SKILL.md): Requires git history and Node.js 16+. Must be run inside a git repository..
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
Aidd Churn is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.1k tokens (SKILL.md is roughly 4.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Aidd Churn: Smell Check (Zhen-Bo/smell-check, 239 stars), Coding Agent (mastra-ai/mastra, 29k stars), Code Reviewer (Yikai-Liao/symusic, 189 stars) and Typescript React Reviewer (SuFxGIT/scoutarr, 114 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
paralleldrive (a GitHub organization) maintains it in paralleldrive/aidd, which has 384 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on June 12, 2026.
Source: paralleldrive/aidd on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.