Agent skill

Review

by mag123c in mag123c/toktrack

Multi-agent code review for Rust CLI/TUI. An agent skill from mag123c/toktrack.

MITAuto-check passedDevelopment

Install Review

skills CLI
$ npx skills add mag123c/toktrack --skill review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mag123c/toktrack review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mag123c/toktrack.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/review .claude/skills/review && rm -rf skills-src

Use ~/.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/

Facts

Skill name
review
GitHub stars
195
Token cost
~1.2k tokens
SKILL.md length
503 words
Files
1
Skills in repo
6
Repo updated
First seen
Licence
MIT

At a glance

Multi-agent code review for Rust CLI/TUI. An agent skill from mag123c/toktrack.

  • Works in 3 steps: Collect context (diff, conventions,… → Launch Code Review Agent only… → Parse verdict → PASS → /wrap, FAIL → fix…
  • Tasks that involve UX design
  • SKILL.md covers Override: UX Review Inactive, Override: Code Review…, Execution and Rules
  • Calls cargo

What it does

Review is an agent skill from mag123c/toktrack. Multi-agent code review for Rust CLI/TUI. UX Review inactive (terminal UI — no web frontend). Code Review only. Includes Rust/clippy-specific checklist.

Its SKILL.md is about 1.2k 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 UX design and Code review. It works with Rust. The repository describes itself as: Ultra-fast token & cost tracker for LLM Token Usage (e.g. Claude Code). The licence is MIT.

When your agent uses it

  • Tasks that involve UX design
  • Tasks that involve Code review

Example prompts

  • “/review”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Collect context (diff, conventions, architecture, Sprint Contract)
  2. Launch Code Review Agent only (feature-dev:code-reviewer)
  3. Parse verdict → PASS → /wrap, FAIL → fix → /verify → re-review

What it can do on your machine

Read from SKILL.md and the folder at commit 75a86fa. 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

    Shell commands in SKILL.md call:

    • cargo

    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 loads about 1.2k tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 503 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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 mag123c/toktrack at commit 75a86fa, republished under its MIT licence (© mag123c). 503 words, ~1,198 tokens.

Download SKILL.mdSave it as .claude/skills/review/SKILL.md (or your agent's skills folder).
name
review
description
Multi-agent code review for Rust CLI/TUI. UX Review inactive (terminal UI — no web frontend). Code Review only. Includes Rust/clippy-specific checklist.
required_context
.claude/ai-context/architecture.md, .claude/ai-context/conventions.md

Review (toktrack override)

Follows the global /review multi-agent pattern, with the following overrides:

Override: UX Review Inactive

This project is a terminal TUI app — do not run the UX Review Agent. Run Code Review Agent only.

Override: Code Review Checklist Extension

In addition to the global checklist, append the following to the Code Review Agent prompt:

Critical (PLAN gate)
CategoryItems
PLAN assumption refutationDoes the diff falsify the [agent-inferred]/[unverified-gate] assumptions from the PLAN (falsified → P1+, carry to wrap)
Author Review Gate (P0 — Identity / Matrix)

This repo is OSS and the reviewer is the author (receiving PRs). Generic code health is covered by Rust/TUI/clippy below; this section examines product-specific risks that only the author can validate. Perspective SSOT: session memory feedback_review_perspective.md.

TierCategoryItems
rejectIdentity ① ultra-fastAdding latency·blocking IO·synchronous network to hot path/startup → reject
rejectIdentity ② persistent cache / data preservationRisk of cache·history loss or corruption → reject. backward-compat·graceful degradation are the means to uphold this
ruthlessIrreversiblebreaking change · data migration · public behavior change
ruthlessEnvironment/state matrix (contributors test only their own machine)OS(paths·home·file locks·Windows) / source schema version(forward new-schema+backward old-format, new source·parser PRs require old-version·unknown-schema fixture) / data shape(empty·large·corrupt·partial·permissions) / locale·TZ·DST / concurrency(read race while source file is being written) / terminal(width·color·TERM) / first-run vs upgrade migration
bias to YESOther features·ideasStars are the goal — acceptance bias. But if it taxes either core(weighing down hot path·startup·cache paths), request location·approach adjustment only. additive/opt-in/lazy/behind a flag = welcome
lenientStyle·naming preferencesLinter takes precedence, bikeshed prohibited (uniform strictness = contributor friction → star loss)
signalDirection/growth fit (not a gate)Beyond code quality·conventions, every contribution(issue·PR) also gets a direction-fit verdict in the review output: strengthens wedge (persistent cache/data preservation) / neutral (additive) / dilutes focus (e.g. feature-parity chasing) + 1–2 lines of rationale. Weigh holistically: maintenance cost vs value, real value to target users(AI CLI heavy users), contribution to project direction. Never a reject reason — the two identities above remain the only gates, bias-to-YES stands
Show full SKILL.md (187 more words)Show less
Rust-specific
CategoryItems
SafetyMinimize unsafe usage, comment with justification
OwnershipUnnecessary .clone(), to_string(), to_owned()
Erroranyhow/thiserror pattern consistency, no unwrap() (tests excluded)
PerformanceUnnecessary allocation, Vec vs iterator chain, Box<dyn> vs generic
SIMDCheck fallback branch in simd-json parsing path
ConcurrencyCheck shared mutable state in rayon parallel path
TUI-specific
CategoryItems
Widgetratatui Widget trait implementation consistency
ThemeUse theme.rs semantic colors (no hardcoded colors)
LayoutHandle terminal resize (Rect boundary check)
InputMissing keyboard event handling (shortcuts registered in help vs actual handlers)
Clippy/Fmt Pre-check

Code Review Agent checks the following before review:

bash
cargo fmt --check
cargo clippy --all-targets --all-features -- -D warnings

If there are clippy warnings, FAIL before starting review (should have been caught by verify).

Execution

  1. Collect context (diff, conventions, architecture, Sprint Contract)
    • PLAN provenance tags/gates (if present) — [agent-inferred] / [unverified-gate]
  2. Launch Code Review Agent only (feature-dev:code-reviewer)
    • Global agents/code-review.md prompt + above author gates + Rust/TUI checklist append
  3. Parse verdict → PASS → /wrap, FAIL → fix → /verify → re-review

Rules

  • Sub-agent model: launch the Code Review Agent via the Agent tool with model: "sonnet" (Sonnet 5).
  • Do not run UX Review Agent (TUI project)
  • PASS → run /wrap immediately
  • FAIL → fix → /verify → re-review (max 3)

© mag123c, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/review of mag123c/toktrack.

Open the folder on GitHubat commit 75a86fa

Compare with similar skills

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.

Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Review this skillmag123c/toktrack195—~1.2kAutomated safety check: PassMIT
PR Reviewjaemk/self_update961—~1.5kAutomated safety check: NotesMIT
Worktrunk Tend CI Guidancemax-sixty/worktrunk9.2k—~6.4kAutomated safety check: PassCustom licence
SeekDB Code Reviewoceanbase/seekdb3.1k—~2.1kAutomated safety check: PassApache-2.0
PR Reviewjaemk/cached2.1k—~2.5kAutomated safety check: NotesMIT
Cross-Language Coding Standardszereight/gitlab-mcp2k1 repos~1.4kAutomated safety check: PassMIT

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Works with

Questions about Review

What does Review do?

Multi-agent code review for Rust CLI/TUI. An agent skill from mag123c/toktrack. Review is an agent skill from mag123c/toktrack. Multi-agent code review for Rust CLI/TUI.

When should I use Review?

Review fits situations like: tasks that involve UX design; tasks that involve Code review.

How do I install Review in Claude Code?

Run `npx skills add mag123c/toktrack --skill review -a claude-code`. Or copy the skill folder (.claude/skills/review in mag123c/toktrack) into .claude/skills/review in your project. Claude Code loads it when a task matches its description.

How do I install Review in Codex?

Run `npx skills add mag123c/toktrack --skill review -a codex`. Or copy the skill folder (.claude/skills/review in mag123c/toktrack) into .agents/skills/review in your project. Codex loads it when a task matches its description.

Can I use Review 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 mag123c/toktrack --skill 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/review, .gemini/skills/review, .github/skills/review and .opencode/skills/review in your project.

What does Review need to run?

Going by SKILL.md and its folder, Review needs the command-line tools its instructions call (cargo).

Does Review 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 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 use?

Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Review use?

About 1.2k tokens (SKILL.md is roughly 4.8k 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?

Skills that share tags, products or a category with Review: PR Review (jaemk/self_update, 961 stars), Worktrunk Tend CI Guidance (max-sixty/worktrunk, 9.2k stars), SeekDB Code Review (oceanbase/seekdb, 3.1k stars) and PR Review (jaemk/cached, 2.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review?

mag123c (a GitHub user) maintains it in mag123c/toktrack, which has 195 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on October 1, 2026.

Source: mag123c/toktrack on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.