Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
Auto Review closeout. An agent skill from vincentkoc/tokenjuice.
$ npx skills add vincentkoc/tokenjuice --skill autoreview -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install vincentkoc/tokenjuice autoreview --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/vincentkoc/tokenjuice.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/autoreview .claude/skills/autoreview && 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 "autoreview" agent skill from https://github.com/vincentkoc/tokenjuice/tree/main/.agents/skills/autoreview into .claude/skills/autoreview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autoreview", 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/vincentkoc/tokenjuice/tree/main/.agents/skills/autoreviewType 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 vincentkoc/tokenjuice --skill autoreview -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install vincentkoc/tokenjuice autoreview --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vincentkoc/tokenjuice.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/autoreview .agents/skills/autoreview && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "autoreview" agent skill from https://github.com/vincentkoc/tokenjuice/tree/main/.agents/skills/autoreview into .agents/skills/autoreview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autoreview", 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 vincentkoc/tokenjuice --skill autoreview -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install vincentkoc/tokenjuice autoreview --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vincentkoc/tokenjuice.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/autoreview .cursor/skills/autoreview && 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 "autoreview" agent skill from https://github.com/vincentkoc/tokenjuice/tree/main/.agents/skills/autoreview into .cursor/skills/autoreview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autoreview", 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/vincentkoc/tokenjuice.git --path .agents/skills/autoreview--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 vincentkoc/tokenjuice --skill autoreview -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install vincentkoc/tokenjuice autoreview --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vincentkoc/tokenjuice.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/autoreview .gemini/skills/autoreview && 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 "autoreview" agent skill from https://github.com/vincentkoc/tokenjuice/tree/main/.agents/skills/autoreview into .gemini/skills/autoreview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autoreview", 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 vincentkoc/tokenjuice autoreviewInstalls 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 vincentkoc/tokenjuice --skill autoreview -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/vincentkoc/tokenjuice.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/autoreview .github/skills/autoreview && 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 "autoreview" agent skill from https://github.com/vincentkoc/tokenjuice/tree/main/.agents/skills/autoreview into .github/skills/autoreview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autoreview", 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 vincentkoc/tokenjuice --skill autoreview -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install vincentkoc/tokenjuice autoreview --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vincentkoc/tokenjuice.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/autoreview .opencode/skills/autoreview && 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 "autoreview" agent skill from https://github.com/vincentkoc/tokenjuice/tree/main/.agents/skills/autoreview into .opencode/skills/autoreview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autoreview", 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.
autoreviewAuto Review closeout. An agent skill from vincentkoc/tokenjuice.
Autoreview is an agent skill from vincentkoc/tokenjuice. Auto Review closeout. Codex review is the default when no engine is set and is the recommended reviewer.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts.
It sits in AI & LLM Engineering. The repository describes itself as: 🧃 Token weight loss. Lean output compaction for terminal-heavy agent workflows. Works as a native CLI tool or as an extension to popular coding and agent frameworks. The licence is MIT.
Read from SKILL.md and the folder at commit 001d597. 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.
Ships 2 files in scripts/, which the agent can run.
Shell commands in SKILL.md call:
codexghFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use gh, 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.
Autoreview loads about 1.9k tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 976 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); the scripts in this folder are not scanned.
The full file from vincentkoc/tokenjuice at commit 001d597, republished under its MIT licence (© vincentkoc). 976 words, ~1,894 tokens.
.claude/skills/autoreview/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Run the bundled structured review helper as a closeout check. This is code review, not Guardian auto_review approval routing.
Codex review is the default when no engine is set. It usually delivers the best review results and should remain the normal final closeout engine.
Use when:
codex review, nested reviewers, or reviewer panels from inside the review. The helper builds one bundle, calls one selected engine, validates one structured result, and stops.gh/Gitcrawl reports database disk image is malformed, run gitcrawl doctor --json once to let the portable cache repair before retrying review; do not bypass the shim unless repair fails and freshness requires live GitHub.gitcrawl doctor --json and inspect source_db_health, runtime_db_health, and portable_store_status before falling back to live GitHub.Dirty local work:
<autoreview-helper> --mode localUse this only when the patch is actually unstaged/staged/untracked in the
current checkout. For committed, pushed, or PR work, point the helper at the commit
or branch diff instead; do not force --mode local / --uncommitted just
because the helper docs mention dirty work first. A clean local review
only proves there is no local patch.
Branch/PR work:
<autoreview-helper> --mode branch --base origin/mainThe helper does not fetch remotes unless --fetch is passed. If the base ref is
missing or stale, fetch explicitly before review or use --fetch knowingly.
Optional review context is first-class:
<autoreview-helper> --mode branch --base origin/main --prompt-file /tmp/review-notes.md --dataset /tmp/evidence.jsonIf an open PR exists, use its actual base:
base=$(ghx pr view --json baseRefName --jq .baseRefName)
<autoreview-helper> --mode branch --base "origin/$base"Committed single change:
<autoreview-helper> --mode commit --commit HEADUse commit review for already-landed or already-pushed work on main. Reviewing
clean main against origin/main is usually an empty diff after push. For a
small stack, review each commit explicitly or review the branch before merging
with --base.
Format first if formatting can change line locations. Then it is OK to run tests and review in parallel:
scripts/autoreview --parallel-tests "<focused test command>"Tradeoff: tests may force code changes that stale the review. If tests or review lead to code edits, rerun the affected tests and rerun review until no accepted/actionable findings remain. Once that rerun exits cleanly, stop; do not spend another long review cycle on redundant confirmation.
Run the helper directly so target selection, engine choice, structured validation, and exit status all stay in one path. If output is noisy, summarize the completed helper output after it returns; do not ask another agent or reviewer to rerun the review.
Repo-local helper:
.agents/skills/autoreview/scripts/autoreview --helpagent-scripts checkout helper:
skills/autoreview/scripts/autoreview --helpGlobal helper from agent-scripts:
~/.codex/skills/agent-scripts/autoreview/scripts/autoreview --helpThe helper:
ghx pr view or gh pr view worksorigin/main for non-main branches--engine codex, claude, droid, copilot, pi, and opencode; default is AUTOREVIEW_ENGINE or codex; Codex should remain the default when nothing is set--engine pi requires an explicit --model because the helper isolates Pi's config directory during review--mode commit --commit <ref> for already-committed work, especially clean main after landing--mode auto or forced to --mode branch for PR/branch work; do not force --mode local after committing--output or --json-output is set--dry-run, --fetch, --parallel-tests, --prompt, --prompt-file, --dataset, --no-tools, --no-web-search, and commit refscodex exec from an isolated temporary workspace with user config and project rules disabled, read-only sandbox, and structured outputautoreview clean: no accepted/actionable findings reported when the selected review command exits 0Include:
Do not run another review solely to improve the final report wording. If the final helper run exited 0 and produced no accepted/actionable findings, report that exact run as clean.
© vincentkoc, 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 2 other files (scripts) in .agents/skills/autoreview of vincentkoc/tokenjuice.
Open the folder on GitHubat commit 001d597
Autoreview 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 |
|---|---|---|---|---|---|---|
| Autoreview this skillvincentkoc/tokenjuice | 524 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 5 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3.3k | Automated safety check: Pass | MIT | |
| 1passwordtrpc-group/trpc-agent-go | 1.9k | 14 repos | ~656 | Automated safety check: Pass | Apache-2.0 |
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
pytorch/pytorch
Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.
Orchestra-Research/AI-Research-SKILLs
Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints.
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
trpc-group/trpc-agent-go
Set up and use 1Password CLI (op). An agent skill from trpc-group/trpc-agent-go.
jarrodwatts/claude-code-config
Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage.
Categories
Auto Review closeout. An agent skill from vincentkoc/tokenjuice. Autoreview is an agent skill from vincentkoc/tokenjuice. Auto Review closeout.
Autoreview fits situations like: AI & LLM Engineering work in your project.
Run `npx skills add vincentkoc/tokenjuice --skill autoreview -a claude-code`. Or copy the skill folder (.agents/skills/autoreview in vincentkoc/tokenjuice) into .claude/skills/autoreview in your project. Claude Code loads it when a task matches its description.
Run `npx skills add vincentkoc/tokenjuice --skill autoreview -a codex`. Or copy the skill folder (.agents/skills/autoreview in vincentkoc/tokenjuice) into .agents/skills/autoreview 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 vincentkoc/tokenjuice --skill autoreview -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/autoreview, .gemini/skills/autoreview, .github/skills/autoreview and .opencode/skills/autoreview in your project.
Going by SKILL.md and its folder, Autoreview needs the command-line tools its instructions call (codex and gh).
SKILL.md contains no URLs. Its commands use gh, 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Autoreview is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.9k tokens (SKILL.md is roughly 7.6k 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 Autoreview: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
vincentkoc (a GitHub user) maintains it in vincentkoc/tokenjuice, which has 524 GitHub stars. The repository was last updated on September 15, 2026.
Source: vincentkoc/tokenjuice on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.