PR Babysitter
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
RenoDX pull request code review checklist for HDR/SDR matching, neutral defaults, tonemap/LUT shaders, SDR LUT clipping/domain mistakes, renodx::lut tooling, SwapChainPass, HDR10-preferred SDR/HDR…
$ npx skills add clshortfuse/renodx --skill code-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install clshortfuse/renodx code-review --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/clshortfuse/renodx.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/code-review .claude/skills/code-review && 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 "code-review" agent skill from https://github.com/clshortfuse/renodx/tree/main/.github/skills/code-review into .claude/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review", 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/clshortfuse/renodx/tree/main/.github/skills/code-reviewType 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 clshortfuse/renodx --skill code-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install clshortfuse/renodx code-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/clshortfuse/renodx.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.github/skills/code-review .agents/skills/code-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "code-review" agent skill from https://github.com/clshortfuse/renodx/tree/main/.github/skills/code-review into .agents/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review", 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 clshortfuse/renodx --skill code-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install clshortfuse/renodx code-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/clshortfuse/renodx.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.github/skills/code-review .cursor/skills/code-review && 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 "code-review" agent skill from https://github.com/clshortfuse/renodx/tree/main/.github/skills/code-review into .cursor/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review", 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/clshortfuse/renodx.git --path .github/skills/code-review--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 clshortfuse/renodx --skill code-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install clshortfuse/renodx code-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/clshortfuse/renodx.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.github/skills/code-review .gemini/skills/code-review && 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 "code-review" agent skill from https://github.com/clshortfuse/renodx/tree/main/.github/skills/code-review into .gemini/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review", 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 clshortfuse/renodx code-reviewInstalls 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 clshortfuse/renodx --skill code-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/clshortfuse/renodx.git skills-src && mkdir -p .github/skills && cp -r skills-src/.github/skills/code-review .github/skills/code-review && 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 "code-review" agent skill from https://github.com/clshortfuse/renodx/tree/main/.github/skills/code-review into .github/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review", 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 clshortfuse/renodx --skill code-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install clshortfuse/renodx code-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/clshortfuse/renodx.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.github/skills/code-review .opencode/skills/code-review && 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 "code-review" agent skill from https://github.com/clshortfuse/renodx/tree/main/.github/skills/code-review into .opencode/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-review", 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.
code-reviewRenoDX pull request code review checklist for HDR/SDR matching, neutral defaults, tonemap/LUT shaders, SDR LUT clipping/domain mistakes, renodx::lut tooling, SwapChainPass, HDR10-preferred SDR/HDR…
Code Review is an agent skill from clshortfuse/renodx. RenoDX pull request code review checklist for HDR/SDR matching, neutral defaults, tonemap/LUT shaders, SDR LUT clipping/domain mistakes, renodx::lut tooling, SwapChainPass, HDR10-preferred SDR/HDR output toggles, rare scRGB paths, resource upgrades, inverse-tonemap rejection, vanilla look preservation, actionable review comments, mod PR scope hygiene, unrelated core files, and sensible commits. Use when performing Copilot code review.
Its SKILL.md is about 3.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development, covering Code review, Shaders and Pull requests. The repository describes itself as: Renovation Engine for DirectX Games. The licence is MIT.
Read from SKILL.md and the folder at commit 374d07b. 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.
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.
No URLs in SKILL.md.
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.
Code Review loads about 3.5k tokens when it runs. Until then it costs about 113 tokens; SKILL.md has 1,857 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 clshortfuse/renodx at commit 374d07b, republished under its MIT licence (© clshortfuse). 1,857 words, ~3,462 tokens.
.claude/skills/code-review/SKILL.md (or your agent's skills folder).Use this skill when reviewing RenoDX pull requests. Apply it together with root AGENTS.md, the nearest nested AGENTS.md, .agents/skills/swapchain-resource-analysis/SKILL.md, and .agents/skills/handle-sdr-tonemap-lut/SKILL.md when relevant.
Before reviewing any RenoDX-authored C++ under src/, read
docs/CXX_STYLE.md in full and review every touched C++ region against it. Do
not rely on summaries in AGENTS.md, scoped instructions, or prior knowledge of
the guide. Treat style-guide violations as review findings even when the code
builds and passes formatting checks.
Copilot review should comment when a PR is technically buildable but violates RenoDX HDR behavior. Do not let a PR pass silently just because it compiles if the mod changes the default look, clips HDR through SDR, or treats the final swapchain frame as an HDR source.
Review comments should be helpful and actionable: name the risky behavior, explain the missing proof or invariant, and suggest a concrete RenoDX pattern to employ. Mentioning another mod can be useful when pointing to a specific file, bridge, or technique, but do not assume every existing mod is high quality or treat a mod name as proof by itself.
Every Copilot code review must include a RenoDX review checklist section in the review body. Do not leave a review without the checklist. Mark each relevant item as Pass, Needs comment, or N/A; leave actionable comments for every Needs comment item.
untonemapped, neutral_sdr, and graded_sdr signals used by ToneMapPass or UpgradeToneMap.ToneMapPass, PsychoV, and other tonemappers receive linear input; encoded/gamma/sRGB values are decoded before tonemapping.saturate, UNORM writes, or lower-format copies do not destroy HDR range before HDR-critical work is complete, except scoped Vanilla/0 resource-clamp emulation.SwapChainPass is only final output encoding for a proven intermediate, not hidden tonemap replacement, LUT reconstruction, or inverse SDR expansion.Leave a review comment when changed code does any of the following:
HDR Look.saturate, min(max(...), 1)) and then uses the sampled LUT result as output or graded_sdr without a matching explicit neutral_sdr or reconstruction. Two-argument ToneMapPass(untonemapped, graded_sdr) is not enough proof when the LUT input was a different clipped SDR baseline.saturate neutral as a complete LUT bridge when the clip collapses saturated highlights to white or wrong hues. For visible hard-clip-to-LUT behavior, expect Wobbly Life-style max-channel/gamut compression and reconstruction or Silksong-style selective hue/saturation clip emulation.renodx::lut::Config setup, strength/scaling, masks/blends, SDR bridge, or HDR reconstruction.ToneMapPass or any tonemapper.saturate(untonemapped) or an equivalent hard clip of the HDR source as neutral_sdr, a LUT bridge, or proof that a hard-clip/no-tonemap path is handled. This does not include a Vanilla/0 path deliberately emulating the original RGBA8U/UNORM resource clamp after a resource upgrade.ToneMapPass, PsychoV, or another tonemapper instead of decoding to linear first.ToneMapPass with RENODX_TONE_MAP_TYPE == 0 / Vanilla as a full Off preset while user grading, HDR-look controls, or custom effect overrides remain active.ToneMapPass or PsychoV without preserving required vanilla presentation effects such as exposure, bloom, fades, vignette, LUT masks, grade strength, or output-domain expectations.saturate, min/max, UNORM resolves, or lower-format copies before HDR-critical work is complete, destroying values above SDR white, negative channels, or precision. Do not confuse this with a vanilla saturate after an already-tonemapped value that only trims small overflow, or a Vanilla/0 path that restores the original RGBA8U/UNORM clip after a resource upgrade.SwapChainPass on a final SDR buffer as if it proves HDR. SwapChainPass is valid final encoding only after a high-precision intermediate or real pre-SDR signal is proven.Prefer comments that identify the missing proof or preservation step:
untonemapped, neutral_sdr, or graded_sdr source?saturate, min(max(...), 1), or an equivalent log shaper? If so, does the PR avoid raw hard clip as a neutral_sdr substitute and instead use an engineered LUT-domain proxy, reconstruction path, or proven reference baseline?saturate before/after a tonemap or inside Vanilla/0 resource-clamp emulation? Trimming small overflow after a vanilla tonemap or preserving the original RGBA8U/UNORM clamp in Vanilla/0 is expected; clipping untonemapped/HDR before a LUT or ToneMapPass is the problem.renodx::lut::Config/renodx::lut::Sample or explicitly justify direct Texture.Sample to preserve exact vanilla addressing?ToneMapPass?ToneMapPass runs with Vanilla/0, is that intentionally using the vanilla process as the tonemap while allowing user grading, and is there a Preset Off/reset path to true vanilla as closely as practical?1.0, negative channels when needed, and precision until final output?renodx::draw::ToneMapPass(untonemapped, graded_sdr, neutral_sdr) when the vanilla neutral baseline must be explicit.ComputeUntonemappedGraded(...) or a current graded ToneMapPass path instead of direct legacy UpgradeToneMap when viable.saturate(untonemapped) as neutral_sdr; use a safe LUT-domain proxy/reconstruction path, or a three-argument ToneMapPass only when neutral_sdr is an engineered/proven reference baseline that matches the grade path.ToneMapPass with tone map type Vanilla/0 when the game's vanilla process should remain the tonemap and RenoDX only supplies optional user grading; provide a Preset Off or equivalent reset that disables custom grading/effects and returns as close to true vanilla as resource upgrades allow.neutral_sdr, a LUT proxy, or a non-vanilla HDR bridge.ToneMapPass path.ToneMapPass, PsychoV, or any tonemapper; encode only for a proven encoded LUT domain or output path.renodx::lut::Config with explicit type_input, type_output, size/precompute, strength/scaling, and sampling selection; use direct texture sampling only when matching a proven vanilla packed/offset path.ToneMapPass path can still be the right answer.renodx::draw::SwapChainPass(...) only after source/resource proof.© clshortfuse, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .github/skills/code-review of clshortfuse/renodx.
Open the folder on GitHubat commit 374d07b
Code Review 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 |
|---|---|---|---|---|---|---|
| Code Review this skillclshortfuse/renodx | 4.4k | — | ~3.5k | Automated safety check: Pass | MIT | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Understand Diff AnalysisEgonex-AI/Understand-Anything | 85k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| WooCommerce Code Reviewwoocommerce/woocommerce | 11k | 3 repos | ~1.1k | Automated safety check: Pass | Custom licence | |
| Open Code Review CLIalibaba/open-code-review | 44k | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| GitHub Review Iterationprisma/orm | 48k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 |
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
Egonex-AI/Understand-Anything
Reads your git changes or a pull request against a prebuilt knowledge graph of the project to explain what changed, which components are affected and what is risky.
woocommerce/woocommerce
Reviews WooCommerce code changes against the project's standards, flagging backend PHP architecture, naming, documentation, data integrity and testing violations.
alibaba/open-code-review
Runs the ocr command-line tool to review Git changes, a commit or a branch comparison with an AI model, returning line-level comments and optionally applying fixes.
prisma/orm
Runs a loop on a GitHub pull request: fetch review state, triage comments into actions, implement them and resolve threads, repeating until nothing actionable is left.
microsoft/garnet
Checks that a pull request's title and description match its implementation and reviews the code for Garnet best practices, reporting findings without posting them.
clshortfuse/renodx
RenoDX workflow for creating readable analysis graphs and plots from shader math, CSVs, EXRs, LUTs, hue sweeps, tone curves, gamut comparisons, energy/scalar maps, and test-pattern statistics.
clshortfuse/renodx
RenoDX workflow for generating, validating, or debugging BT.2020/BT.2100 HDR PNG artifacts from EXR, linear RGB, nits arrays, scalar maps, or analysis images.
clshortfuse/renodx
RenoDX HLSL/Slang shader workflow for proven shader-side SDR tonemap, hard clip, LUT, color grade, and HDR bridge changes.
clshortfuse/renodx
RenoDX DevKit workflow for tracing swapchain/output passes, SwapChainPass, RGBA8U/UNORM limits, RGBA16F proxy resources, gamma-space float pipelines, HDR10-preferred SDR/HDR output toggles, rare…
clshortfuse/renodx
RenoDX workflow for generating HDR/SDR test patterns, synthetic charts, ramps, gradients, hue sweeps, color bars, checkerboards, banding panels, gamut stress images, BT.709/BT.2020/AP1 comparisons…
clshortfuse/renodx
RenoDX workflow for setting up or resuming game mod development with Clang debug builds, DevKit, MCP bridge, ReShade game-folder links, live shader paths, per-game addon scaffolds, metadata, shader…
Categories
RenoDX pull request code review checklist for HDR/SDR matching, neutral defaults, tonemap/LUT shaders, SDR LUT clipping/domain mistakes, renodx::lut tooling, SwapChainPass, HDR10-preferred SDR/HDR…. Code Review is an agent skill from clshortfuse/renodx. RenoDX pull request code review checklist for HDR/SDR matching, neutral defaults, tonemap/LUT shaders, SDR LUT clipping/domain mistakes, renodx::lut tooling, SwapChainPass, HDR10-preferred SDR/HDR output toggles, rare scRGB paths, resource upgrades, inverse-tonemap rejection, vanilla look preservation, actionable review comments, mod PR scope hygiene, unrelated core files, and sensible commits.
Code Review fits situations like: performing Copilot code review; tasks that involve Code review; tasks that involve Shaders.
Run `npx skills add clshortfuse/renodx --skill code-review -a claude-code`. Or copy the skill folder (.github/skills/code-review in clshortfuse/renodx) into .claude/skills/code-review in your project. Claude Code loads it when a task matches its description.
Run `npx skills add clshortfuse/renodx --skill code-review -a codex`. Or copy the skill folder (.github/skills/code-review in clshortfuse/renodx) into .agents/skills/code-review 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 clshortfuse/renodx --skill code-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/code-review, .gemini/skills/code-review, .github/skills/code-review and .opencode/skills/code-review in your project.
SKILL.md names no scripts, command-line tools or credentials: Code Review is instructions for the agent only.
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.
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.
Code Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.5k tokens (SKILL.md is roughly 14k 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 Code Review: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Understand Diff Analysis (Egonex-AI/Understand-Anything, 85k stars), WooCommerce Code Review (woocommerce/woocommerce, 11k stars) and Open Code Review CLI (alibaba/open-code-review, 44k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
clshortfuse (a GitHub user) maintains it in clshortfuse/renodx, which has 4,442 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 7, 2026.
Source: clshortfuse/renodx on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.