code-simplify

REVIEW · 51
Registry indexed

Review changed code for YAGNI, removable over-complexity, reuse, code quality, and efficiency, then apply worthwhile simplifications. Use when the user asks to simplify, clean up, tighten, de-hack recent changes, identify logic that can be dropped, or review whether added safegua

Verified installs0
Stars13
Version1.0.0
Quality58/100 · Promising
Trust51/100 · Do not auto-install
Audit70/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add rijkvanzanten/rolling-wave-engineering --skill code-simplify

Maintenance

fresh

5d since push

Risk

Needs review

Dependency or permission surface needs review

GitHub quality

13

58/100 Quality · 59/100 Trust

Coverage tags

CodingGitHub automationcoding-agentsagent-skill

Review notes

Dependency or permission surface needs review · Permission surface may require sandboxing

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Promising
58

Useful candidate, but compare it with alternatives before adopting.

Trust

Do not auto-install
51

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

Audit

Needs review
70

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Choose a stronger alternative or inspect the source manually before any install attempt.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

13 GitHub stars

Repo activity

13 stars, 0 forks

Maintenance

5d since push

License

MIT

Install

npx skills add rijkvanzanten/rolling-wave-engineering --skill code-simplify

Install safety

standard package or runtime install path

Permission surface

secrets or environment access, shell or command execution

Agent outcomes

No agent outcome data yet

Docs

Usable metadata, review docs

Risk summary

Review before production

  • The SKILL.md excerpt is truncated, but the provided content is sufficient to evaluate the skill's purpose and workflow.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Low GitHub adoption signal
  • Quality score needs review

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect repository metadata

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add rijkvanzanten/rolling-wave-engineering --skill code-simplify
Policy
block
Human review
yes

Trust and risk

Trust
51/100
Audit
70/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add rijkvanzanten/rolling-wave-engineering --skill code-simplify

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • The SKILL.md excerpt is truncated, but the provided content is sufficient to evaluate the skill's purpose and workflow.
  • High-risk permission hints: Shell or command execution, Secrets or environment access

Agent safety v2

26/100 · Avoid automatic install

Blocked for auto-installblock

This skill should not be selected by an agent without explicit human security review.

Do not auto-install. Inspect the source, dependencies, and permission surface first.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

high

Secrets or environment access

Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.

  • High-risk permission hints: Shell or command execution, Secrets or environment access
  • Dependency or permission surface needs review

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install rijkvanzanten-code-simplify

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use code-simplify in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20code-simplify%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/rijkvanzanten-code-simplify/install
Install command: npx skills add rijkvanzanten/rolling-wave-engineering --skill code-simplify
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use code-simplify for this task. Review https://www.openagentskill.com/api/skills/rijkvanzanten-code-simplify/install, then install with: npx skills add rijkvanzanten/rolling-wave-engineering --skill code-simplify

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

59/100

GitHub automation

Platforms

Claude Code

Audit report

Needs review · 70/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for GitHub automation

Prototype with this skill first; keep a fallback candidate ready.

59
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

GitHub automation

Trust label

Prototype first

Install path

Command ready

Use when

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 58/100 quality profile
  • 6 OpenAgentSkill engagement events

review first

  • Low GitHub adoption signal
  • The SKILL.md excerpt is truncated, but the provided content is sufficient to evaluate the skill's purpose and workflow.

Implementation path

  1. 1Install it in a sandbox agent and run one GitHub automation task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Do not auto-install

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

51
OpenAgentSkill Trust Score

GitHub adoption

FIX

13 GitHub stars

Stars/forks activity

FIX

13 stars, 0 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

5d since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • The SKILL.md excerpt is truncated, but the provided content is sufficient to evaluate the skill's purpose and workflow.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 13 GitHub stars
  • Stars/forks activity: 13 stars, 0 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Choose a stronger alternative or inspect the source manually before any install attempt.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

58
GitHub stars
13
Freshness
5d ago
Install ready
Yes
License
MIT
Review before install: Low GitHub adoption signal · The SKILL.md excerpt is truncated, but the provided content is sufficient to evaluate the skill's purpose and workflow.

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- name: code-simplify description: Review changed code for YAGNI, removable over-complexity, reuse, code quality, and efficiency, then apply worthwhile simplifications. Use when the user asks to simplify, clean up, tighten, de-hack recent changes, identify logic that can be dropped, or review whether added safeguards and edge-case handling are actually needed. ---

# Code Simplify

Review recent code changes with four lenses: YAGNI, reuse, quality, and efficiency. Fix concrete issues directly while preserving behavior exactly. Prefer readable, explicit code over overly compact cleverness, and avoid churn for style-only tweaks or speculative refactors. Always identify possible parts that can be dropped because they are too complicated for the actual goal or protect against overly specific edge cases.

## Workflow

1. Determine the review scope. - If the user named a file, directory, function, or time window, use that scope and do not widen it. - Otherwise, in a git repository, prefer the current branch diff against the Git Town parent branch:

```bash CURRENT_BRANCH=$(git rev-parse --abbrev-ref HEAD) BASE_BRANCH=$(git-town config get-parent "$CURRENT_BRANCH" 2>/dev/null || true) ```

- If Git Town cannot resolve a parent, fall back to the branch upstream. If no base or upstream can be resolved, fall back to `git diff HEAD`. - If there is no git delta, inspect the files the user mentioned or the files edited earlier in the conversation. - If no non-empty scope is available, stop and ask what to simplify. 2. Build full context before judging the code. - Read the changed files. - Search nearby modules and shared utilities for existing helpers before keeping new logic. - Check the surrounding patterns so the cleanup matches the codebase instead of imposing a new style. 3. Run the four review passes. - If delegation is available and explicitly authorized, run the passes in parallel. - Otherwise run them locally, one pass at a time, against the same scope. - Keep a short candidate list of logic that may be removable, including checks, branches, fallbacks, normalization, special cases, options, wrappers, abstractions, and compatibility paths. 4. Apply the worthwhile fixes. - Change the code directly. - Skip false positives or low-value churn without arguing with them. - Drop removable complexity directly when evidence shows it is outside the goal, unreachable, redundant, or not worth the maintenance cost. - If a drop candidate might change intended behavior or requires a product/API decision, do not remove it silently; report it as a possible drop with the decision needed. 5. Verify the result. - Run typecheck and lint when configured and reasonably scoped. - Run tests scoped to changed paths when possible. - Broaden checks when simplification touched shared utilities, heavily imported modules, data flow, or behavior-sensitive code. - If no scoped test mechanism exists and the change has meaningful blast radius, run the full relevant suite. - Do not weaken tests, assertions, or types to make verification pass. Fix the simplification or revert the specific simplification that caused the regression. - Report what changed and any remaining risks.

## Review Passes

### YAGNI

- Challenge every new check, guard, fallback, abstraction, option, branch, and normalization step that was added by the current change. - Keep it only if it is required by the user's stated goal, the current slice contract, existing product behavior, a real caller, a testable failure mode, or a repo convention that already applies here. - Remove speculative safeguards for edge cases that are not reachable in the current flow, not part of the accepted scope, or not backed by evidence from the codebase. - Identify over-specific edge-case protection, such as branches for impossible input shapes, future-only compatibility, defensive defaults no caller can hit, duplicate validation after a trusted boundary, or fallbacks for states the surrounding code already prevents. - Identify over-complicated implementation shape, such as configuration knobs with one caller, abstractions around one behavior, multi-step normalization where a narrow input contract would do, or helpers that make the main path harder to understand. - Tag drop candidates as `delete`, `stdlib`, `native`, `yagni`, or `shrink` when reporting them so the action is obvious. - Classify each serious candidate as `drop now`, `keep`, or `ask`. Drop it now only when the intended behavior is clear and evidence supports the removal. - Prefer the smallest implementation that makes the intended behavior work. Do not preserve complexity just because it seems generally defensive. - If a safeguard is security-, data-loss-, permissions-, migration-, or compatibility-related, verify the concrete risk before removing it. Escalate if the risk is plausible but the requirement is unclear. - When removing YAGNI code, keep the deletion behavior-preserving for the intended path and note any deliberately unsupported edge case in the final response.

### Reuse

- Replace newly written helpers with existing utilities when the behavior already exists. - Collapse hand-rolled string, path, env, parsing, or type-guard logic into established helpers. - Remove duplicated functionality introduced under a new name. - Prefer structural search or project tooling over plain text grep when proving something is unused.

### Quality

- Remove redundant state, cached values, or effects when the value can be derived or invoked directly. - Shrink parameter sprawl by restructuring instead of threading more flags through old APIs. - Merge copy-paste variants into a shared abstraction when the abstraction stays clearer than the duplication. - Tighten leaky abstractions and stringly-typed code when existing constants, unions, or boundaries already exist. - Flatten nested conditionals, ternary chains, and deeply nested switches when guard clauses, early returns, lookup tables, or simple `else if` chains make the flow easier to verify. - Remove dead code, unused imports, unused exports, and unreachable branches when project tooling or a reliable search proves they are unused. Account for re-exports, dynamic imports, framework conventions, and public API surfaces; skip uncertain removals. - Remove unnecessary wrapper elements in component-tree UI frameworks when the wrapper adds no layout, semantic, accessibility, or styling value and the child component can express the needed behavior directly. - Delete comments that explain what the code does; keep only non-obvious why.

### Efficiency

- Remove redundant work, duplicate reads, duplicate requests, and avoidable recomputation. - Parallelize independent work when the surrounding code supports it cleanly. - Trim new hot-path work in render, request, startup, polling, or event-heavy paths. - Add change-detection guards for recurring updates so no-op cycles do not notify downstream consumers. - Verify wrapper updater/reducer helpers preserve the project's no-change signal, such as same-reference returns, so callers' no-op guards actually work. - Prefer doing the operation and handling failure over pre-checking existence when that removes a TOCTOU pattern. - Remove unbounded data structures, missing cleanup, listener leaks, and avoidable retained state introduced by the change. - Reduce overly broad reads or loads when only a narrow slice is needed.

## Guardrails

- Prefer simplification over cleverness. - Do not invent abstractions just to satisfy the review pass. - Do not rewrite unrelated code. - Preserve the existing architecture unless the current change clearly violates it. - Do not remove docs, plans, rolling-wave artifacts, or other workflow/source-of-truth files just because they are not runtime code. - Treat public exports and framework entrypoints conservatively; unused-looking code can be externally consumed. - Escalate instead of forcing a risky refactor that would change behavior, broaden scope, or require a product decision.

## Output

- Summarize what was already good, what was simplified, what was dropped as YAGNI, and which checks ran. - Include a short `Possible drops` section when there are plausible removals that were not made because they need user/product/API confirmation. Use tags: `delete`, `stdlib`, `native`, `yagni`, `shrink`. - Omit `Possible drops` when there are no meaningful candidates. - If the code was already clean enough, say so plainly. - If checks were not run or could not run, say that explicitly.

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 20, 2026
Published
Aug 20, 2026

Decision snapshot

Fallback candidate

59
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

70
Needs review
Security
68/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for code-simplify, ready for a manual X post.

Curator note
code-simplify: Review changed code for YAGNI, removable over-complexity, reuse, code quality, and efficiency...

13 stars

https://www.openagentskill.com/skills/rijkvanzanten-code-simplify?ref=x
Open X draft
Optional reply with install command
Listing + install path for code-simplify:
https://www.openagentskill.com/skills/rijkvanzanten-code-simplify?ref=x

Install: npx skills add rijkvanzanten/rolling-wave-engineering --skill code-simplify

Listing source

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Author

R

rijkvanzanten

@rijkvanzanten

Platform fit

Health signals

GitHub stars
13
Quality score
31/100
Last GitHub push
Aug 17, 2026
Framework hints
Unknown
OpenAgentSkill views
5
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Do not auto-install

51
  • GitHub adoption13 GitHub starsFIX
  • Stars/forks activity13 stars, 0 forks; issue activity unavailable in current metadataFIX
  • Recent maintenance5d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
  • Dependency/runtime riskcommand execution surface, credential or environment accessFIX