React Performance
affaan-m/ECC
React and Next.js performance optimization patterns adapted from Vercel Engineering's React Best Practices (https://github.com/vercel-labs/agent-skills).
Perform a strict, evidence-based review of the current branch or working-tree changes without modifying files.
AGPL-3.0Auto-check passed
Install Review Strict
$ npx skills add UniClipboard/UniClipboard --skill review-strict -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install UniClipboard/UniClipboard review-strict --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/UniClipboard/UniClipboard.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/review-strict .claude/skills/review-strict && 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 "review-strict" agent skill from https://github.com/UniClipboard/UniClipboard/tree/main/.agents/skills/review-strict into .claude/skills/review-strict/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-strict", 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/UniClipboard/UniClipboard/tree/main/.agents/skills/review-strictType 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 UniClipboard/UniClipboard --skill review-strict -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install UniClipboard/UniClipboard review-strict --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/UniClipboard/UniClipboard.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/review-strict .agents/skills/review-strict && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "review-strict" agent skill from https://github.com/UniClipboard/UniClipboard/tree/main/.agents/skills/review-strict into .agents/skills/review-strict/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-strict", 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 UniClipboard/UniClipboard --skill review-strict -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install UniClipboard/UniClipboard review-strict --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/UniClipboard/UniClipboard.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/review-strict .cursor/skills/review-strict && 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 "review-strict" agent skill from https://github.com/UniClipboard/UniClipboard/tree/main/.agents/skills/review-strict into .cursor/skills/review-strict/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-strict", 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/UniClipboard/UniClipboard.git --path .agents/skills/review-strict--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 UniClipboard/UniClipboard --skill review-strict -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install UniClipboard/UniClipboard review-strict --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/UniClipboard/UniClipboard.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/review-strict .gemini/skills/review-strict && 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 "review-strict" agent skill from https://github.com/UniClipboard/UniClipboard/tree/main/.agents/skills/review-strict into .gemini/skills/review-strict/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-strict", 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 UniClipboard/UniClipboard review-strictInstalls 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 UniClipboard/UniClipboard --skill review-strict -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/UniClipboard/UniClipboard.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/review-strict .github/skills/review-strict && 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 "review-strict" agent skill from https://github.com/UniClipboard/UniClipboard/tree/main/.agents/skills/review-strict into .github/skills/review-strict/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-strict", 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 UniClipboard/UniClipboard --skill review-strict -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install UniClipboard/UniClipboard review-strict --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/UniClipboard/UniClipboard.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/review-strict .opencode/skills/review-strict && 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 "review-strict" agent skill from https://github.com/UniClipboard/UniClipboard/tree/main/.agents/skills/review-strict into .opencode/skills/review-strict/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review-strict", 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
review-strict- GitHub stars
- 1.9k
- Token cost
- ~411 tokens
- SKILL.md length
- 189 words
- Files
- 2
- Skills in repo
- 24
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
Perform a strict, evidence-based review of the current branch or working-tree changes without modifying files.
- Works in 5 steps: Correctness, regressions, state… → Security and privacy, especially… → Repository architecture, ownership,… → …
- The user asks for a strict review
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Merge assessment
What it does
Review Strict is an agent skill from UniClipboard/UniClipboard. Perform a strict, evidence-based review of the current branch or working-tree changes without modifying files. Use when the user asks for a strict review, deep review, senior review, merge assessment, or explicitly invokes $review-strict.
Its SKILL.md is about 410 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
The repository describes itself as: Real-time clipboard sync across all your devices — local-first, peer-to-peer, and end-to-end encrypted. No account. No cloud dependency. No central server. The licence is AGPL-3.0.
When your agent uses it
- The user asks for a strict review
- Merge assessment
- Explicitly invokes $review-strict
Example prompts
- “/review-strict”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Correctness, regressions, state transitions, edge cases, concurrency, cleanup, compatibility, and performance.
- Security and privacy, especially plaintext persistence, sensitive logs, excessive permissions, clipboard data exposure, authentication…
- Repository architecture, ownership, existing reusable modules, hard-coded values, dead code, and parallel old/new logic.
- Cross-platform behavior on macOS, Windows, Linux, iOS, Android, and HarmonyOS where the changed path applies.
- Missing or ineffective tests, including duplicated hand-written mocks where an established test helper exists.
What it can do on your machine
Read from SKILL.md and the folder at commit add157e. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
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
Review Strict loads about 411 tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 189 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.
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from UniClipboard/UniClipboard at commit add157e, republished under its AGPL-3.0 licence (© UniClipboard). 189 words, ~411 tokens.
Download SKILL.mdSave it as
.claude/skills/review-strict/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- review-strict
- description
- Perform a strict, evidence-based review of the current branch or working-tree changes without modifying files. Use when the user asks for a strict review, deep review, senior review, merge assessment, or explicitly invokes `$review-strict`.
Strict Code Review
Review the current diff first. Inspect unchanged code only when it is necessary to establish the behavior of a changed path.
Prioritize:
- Correctness, regressions, state transitions, edge cases, concurrency, cleanup, compatibility, and performance.
- Security and privacy, especially plaintext persistence, sensitive logs, excessive permissions, clipboard data exposure, authentication reuse, and raw paths.
- Repository architecture, ownership, existing reusable modules, hard-coded values, dead code, and parallel old/new logic.
- Cross-platform behavior on macOS, Windows, Linux, iOS, Android, and HarmonyOS where the changed path applies.
- Missing or ineffective tests, including duplicated hand-written mocks where an established test helper exists.
For every finding:
- Cite the file and exact line.
- State the concrete trigger as input or state -> incorrect behavior.
- Explain why it matters and the smallest sound correction.
- Try to disprove the finding before retaining it.
Order findings by severity: blocking, important, optional. Do not report style preferences or speculative issues. If no real issue remains, say so clearly and note any residual verification gap.
End with one merge assessment: ready to merge, merge after fixes, redesign required, or insufficient evidence. Do not edit, commit, or push.
© UniClipboard, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in .agents/skills/review-strict of UniClipboard/UniClipboard.
- SKILL.md
- agents/openai.yaml
Open the folder on GitHubat commit add157e
Compare with similar skills
Review Strict 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 |
|---|---|---|---|---|---|---|
| Review Strict this skillUniClipboard/UniClipboard | 1.9k | — | ~411 | Automated safety check: Pass | AGPL-3.0 | |
| React Performanceaffaan-m/ECC | 276k | 1 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Handsontable Performance Testinghandsontable/handsontable | 22k | — | ~3.4k | Automated safety check: Pass | Custom licence | |
| Performance Profileralirezarezvani/claude-skills | 28k | — | ~684 | Automated safety check: Pass | MIT | |
| Agent Performance Optimizerruvnet/ruflo | 74k | 2 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Performance Managementsickn33/agentic-awesome-skills | 47k | 1 repos | ~4.1k | Automated safety check: Pass | MIT |
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Performance Profiler
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Agent Performance Optimizer
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Performance Management
sickn33/agentic-awesome-skills
Performance review register: review type, period, employee and reviewer, KPI, OKR and behaviour scores, overall rating, PIP and promotion flags, development plan.
Performance
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Questions about Review Strict
What does Review Strict do?
Perform a strict, evidence-based review of the current branch or working-tree changes without modifying files. Review Strict is an agent skill from UniClipboard/UniClipboard. Perform a strict, evidence-based review of the current branch or working-tree changes without modifying files.
When should I use Review Strict?
Review Strict fits situations like: the user asks for a strict review; merge assessment; explicitly invokes $review-strict.
How do I install Review Strict in Claude Code?
Run `npx skills add UniClipboard/UniClipboard --skill review-strict -a claude-code`. Or copy the skill folder (.agents/skills/review-strict in UniClipboard/UniClipboard) into .claude/skills/review-strict in your project. Claude Code loads it when a task matches its description.
How do I install Review Strict in Codex?
Run `npx skills add UniClipboard/UniClipboard --skill review-strict -a codex`. Or copy the skill folder (.agents/skills/review-strict in UniClipboard/UniClipboard) into .agents/skills/review-strict in your project. Codex loads it when a task matches its description.
Can I use Review Strict 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 UniClipboard/UniClipboard --skill review-strict -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/review-strict, .gemini/skills/review-strict, .github/skills/review-strict and .opencode/skills/review-strict in your project.
What does Review Strict need to run?
SKILL.md names no scripts, command-line tools or credentials: Review Strict is instructions for the agent only.
Does Review Strict 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 Review Strict 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. Review the folder before installing.
What licence does Review Strict use?
Review Strict is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Review Strict use?
About 411 tokens (SKILL.md is roughly 1.6k 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 Review Strict?
Skills that share tags, products or a category with Review Strict: React Performance (affaan-m/ECC, 276k stars), Handsontable Performance Testing (handsontable/handsontable, 22k stars), Performance Profiler (alirezarezvani/claude-skills, 28k stars) and Agent Performance Optimizer (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Review Strict?
UniClipboard (a GitHub organization) maintains it in UniClipboard/UniClipboard, which has 1,867 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 10, 2026.
Source: UniClipboard/UniClipboard on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.