Code Review
ziggy42/epsilon
A skill your agent uses when the user asks for a code review.
Task-completion flow: /cr (a /code-review answered with /code-review-response, which ends with /distill), update docs (spec/cheatsheet/compiler/optimizer), then run mise run on-task-done (build…
$ npx skills add wado-lang/wado --skill on-task-done -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wado-lang/wado on-task-done --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/wado-lang/wado.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/on-task-done .claude/skills/on-task-done && 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 "on-task-done" agent skill from https://github.com/wado-lang/wado/tree/main/.claude/skills/on-task-done into .claude/skills/on-task-done/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "on-task-done", 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/wado-lang/wado/tree/main/.claude/skills/on-task-doneType 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 wado-lang/wado --skill on-task-done -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wado-lang/wado on-task-done --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wado-lang/wado.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/on-task-done .agents/skills/on-task-done && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "on-task-done" agent skill from https://github.com/wado-lang/wado/tree/main/.claude/skills/on-task-done into .agents/skills/on-task-done/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "on-task-done", 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 wado-lang/wado --skill on-task-done -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wado-lang/wado on-task-done --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wado-lang/wado.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/on-task-done .cursor/skills/on-task-done && 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 "on-task-done" agent skill from https://github.com/wado-lang/wado/tree/main/.claude/skills/on-task-done into .cursor/skills/on-task-done/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "on-task-done", 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/wado-lang/wado.git --path .claude/skills/on-task-done--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 wado-lang/wado --skill on-task-done -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wado-lang/wado on-task-done --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wado-lang/wado.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/on-task-done .gemini/skills/on-task-done && 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 "on-task-done" agent skill from https://github.com/wado-lang/wado/tree/main/.claude/skills/on-task-done into .gemini/skills/on-task-done/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "on-task-done", 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 wado-lang/wado on-task-doneInstalls 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 wado-lang/wado --skill on-task-done -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/wado-lang/wado.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/on-task-done .github/skills/on-task-done && 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 "on-task-done" agent skill from https://github.com/wado-lang/wado/tree/main/.claude/skills/on-task-done into .github/skills/on-task-done/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "on-task-done", 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 wado-lang/wado --skill on-task-done -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install wado-lang/wado on-task-done --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wado-lang/wado.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/on-task-done .opencode/skills/on-task-done && 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 "on-task-done" agent skill from https://github.com/wado-lang/wado/tree/main/.claude/skills/on-task-done into .opencode/skills/on-task-done/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "on-task-done", 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.
on-task-doneTask-completion flow: /cr (a /code-review answered with /code-review-response, which ends with /distill), update docs (spec/cheatsheet/compiler/optimizer), then run mise run on-task-done (build…
On Task Done is an agent skill from wado-lang/wado. Task-completion flow: /cr (a /code-review answered with /code-review-response, which ends with /distill), update docs (spec/cheatsheet/compiler/optimizer), then run mise run on-task-done (build, clippy-fix, golden + format fixtures, doc-stdlib, format, tests; the longest task there is) and commit its generated changes. Invoke ONLY when the user asks for it by name or explicitly asks to run the completion flow — never on your own initiative, and not because a task looks finished.
Its SKILL.md is about 610 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. It works with WebAssembly. The repository describes itself as: The Wado Programming Language. The licence is MIT.
Read from SKILL.md and the folder at commit 037dba4. 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:
misecargoFrom 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.
On Task Done loads about 611 tokens when it runs. Until then it costs about 127 tokens; SKILL.md has 221 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 wado-lang/wado at commit 037dba4, republished under its MIT licence (© wado-lang). 221 words, ~611 tokens.
.claude/skills/on-task-done/SKILL.md (or your agent's skills folder).First, review the branch with /cr: a review answered with
/code-review-response, which ends with /distill.
Then update docs if applicable:
Then, run time mise run on-task-done, which includes:
cargo build
mise run clippy-fix
mise run update-golden-fixtures
mise run update-golden-format-fixtures
mise run doc-stdlib
mise run format
mise run test
mise run test-wado
mise run check
mise run check-grammar
mise run check-highlighton-task-done is the longest task there is.
tail — you lose the full log. Redirect to a file and inspect it afterwards if you need to trim output.mise run test-wado is required.mise run format and mise run check are required.Some commands are flaky and may segfault:
mise run update-golden-fixtures — the golden-dump batch tool sometimes segfaults mid-run (pre-existing issue). If it fails, run the individual golden generation manually for any new fixtures, then proceed.mise run test (i.e., cargo test -p wado-compiler-tests --test e2e) — the e2e test runner sometimes crashes with SIGSEGV when running all tests in parallel (pre-existing issue unrelated to compiler correctness).If cargo test segfaults, reduce parallelism:
cargo test -p wado-compiler-tests --test e2e -- --test-threads=4Or run individual fixture tests directly:
cargo test -p wado-compiler-tests --test e2e -- <fixture_name>© wado-lang, 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 .claude/skills/on-task-done of wado-lang/wado.
Open the folder on GitHubat commit 037dba4
On Task Done 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 |
|---|---|---|---|---|---|---|
| On Task Done this skillwado-lang/wado | 117 | — | ~611 | Automated safety check: Pass | MIT | |
| Code Reviewziggy42/epsilon | 439 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Backend Code Reviewlangflow-ai/langflow | 156k | — | ~3.5k | Automated safety check: Notes | MIT | |
| Understand Diff AnalysisEgonex-AI/Understand-Anything | 86k | 1 repos | ~1.4k | Automated safety check: Pass | MIT |
ziggy42/epsilon
A skill your agent uses when the user asks for a code review.
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
langflow-ai/langflow
Review backend code for quality, security, maintainability, and best practices based on established checklist rules.
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.
tw93/Mole
A catalog of recurring bug shapes in the Mole Mac cleaner, used to review safety-sensitive diffs for deletion safety, unbounded commands, shell traps and weak tests.
wado-lang/wado
Profile the native Rust wado binary (compile/serve/run) for host-side bottlenecks — CPU with a sampling profiler, memory with the span trace's RSS and valgrind DHAT.
wado-lang/wado
Analyze and improve the runtime speed of a Wado program's compiled guest Wasm — profile hot functions, read the generated WIR for allocations and copies, reason about the WasmGC cost model, and…
wado-lang/wado
Measure how long GitHub Actions jobs and steps took across past runs, and find the pull request that made CI slower.
wado-lang/wado
Investigate and improve code coverage for the wado-compiler crate.
wado-lang/wado
The only way to merge origin/main into a branch, conflicts or not.
wado-lang/wado
Transpile Wado Wasm components to JS with jco, then run, debug, and benchmark them on Node.
Works with
Categories
Task-completion flow: /cr (a /code-review answered with /code-review-response, which ends with /distill), update docs (spec/cheatsheet/compiler/optimizer), then run mise run on-task-done (build…. On Task Done is an agent skill from wado-lang/wado. Task-completion flow: /cr (a /code-review answered with /code-review-response, which ends with /distill), update docs (spec/cheatsheet/compiler/optimizer), then run mise run on-task-done (build, clippy-fix, golden + format fixtures, doc-stdlib, format, tests; the longest task there is) and commit its generated changes.
On Task Done fits situations like: asks for it by name; explicitly asks to run the completion flow — never on your own initiative; not because a task looks finished.
Run `npx skills add wado-lang/wado --skill on-task-done -a claude-code`. Or copy the skill folder (.claude/skills/on-task-done in wado-lang/wado) into .claude/skills/on-task-done in your project. Claude Code loads it when a task matches its description.
Run `npx skills add wado-lang/wado --skill on-task-done -a codex`. Or copy the skill folder (.claude/skills/on-task-done in wado-lang/wado) into .agents/skills/on-task-done 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 wado-lang/wado --skill on-task-done -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/on-task-done, .gemini/skills/on-task-done, .github/skills/on-task-done and .opencode/skills/on-task-done in your project.
Going by SKILL.md and its folder, On Task Done needs the command-line tools its instructions call (mise and cargo).
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.
On Task Done is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 611 tokens (SKILL.md is roughly 2.4k 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 On Task Done: Code Review (ziggy42/epsilon, 439 stars), PR Babysitter (openinterpreter/openinterpreter, 69k stars), Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars) and Backend Code Review (langflow-ai/langflow, 156k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
wado-lang (a GitHub organization) maintains it in wado-lang/wado, which has 117 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 8, 2026.
Source: wado-lang/wado on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.