es-toolkit is a JavaScript utility library providing commonly used functions such as debouncing, delaying, chunking, summing, and selecting values, with TypeScript types and a compatibility layer for Lodash. JavaScript and TypeScript developers use it when they need utility code with small bundles and performance-focused implementations, while the catalogue skills support AI coding tools working with the library.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/toss/es-toolkit/pr-reviewnpx skills add toss/es-toolkit --skill pr-reviewgit clone --depth 1 https://github.com/toss/es-toolkitWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/toss/es-toolkit/pr-review)<a href="https://agentmods.dev/skills/toss/es-toolkit/pr-review"><img src="https://agentmods.dev/badge/skills/toss/es-toolkit/pr-review.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00014 | $0.00697 |
| Opus 5 | $0.00007 | $0.00349 |
| Sonnet 5 | $0.00003 | $0.00139 |
| Haiku 4.5 | $0.00001 | $0.00070 |
Grade A, and why
pr-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PR Review
Fetch recent PRs, classify, read source code, and produce contextual reviews.
Input
$ARGUMENTS — Number of PRs (default: 10)
Examples:
/pr-review— 10 most recent open PRs/pr-review 20— 20 PRs
Workflow
1. Fetch recent PRs
gh pr list --repo toss/es-toolkit --state open --limit {count} --json number,title,author,labels,createdAt
2. Triage each PR
Run /pr-triage {number} for each PR to classify.
3. Deep review per PR
For each PR, go beyond classification — read the actual source code and provide context:
a. Read current code
Read the files being modified on main to understand the current behavior:
- Function source: what it does, how it works
- Existing tests: what's already covered
- JSDoc: documented behavior and examples
b. Understand the PR change
Read the diff to understand what's changing:
- What's the before vs after?
- Why does the contributor say this change is needed?
- Does the change match what the code actually needs?
c. Assess impact
- Breaking changes: Does the function signature change? Will existing users be affected?
- JS spec alignment: Does current behavior follow JS/lodash conventions? Does the PR break that?
- Scope: Are all affected files updated? (e.g., docs in all 4 languages, related functions)
- Design principles: Does this align with es-toolkit's 85% use case / simplicity philosophy?
d. Label-specific checks
- compat-fix: Run
/compat-review {number} - new-function: Check completeness (impl + spec + re-export + 4 lang docs)
- core-change:
yarn vitest run src/{category}/{fn}.spec.ts+ review breaking impact - docs: Check all 4 language files updated consistently
- types:
tsc --noEmit
4. Detect duplicates
Group PRs by same function name or same files modified.
5. Report per PR
For each PR, output:
### PR #{number} — {title}
**Classification**: {labels}
**Changed files**: {summary}
**Current code**: {what the function does now, with code snippet}
**PR change**: {what's changing and why, with before/after}
**Context**: {JS spec, lodash behavior, design principle considerations}
**Checkpoints**:
- {specific things to verify}
**Verdict**: {merge / merge with changes / hold for discussion / reject}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 105 lines · 14 tokens per session scan A 49b57795b940
pr-review is a skill published in the GitHub repository toss/es-toolkit (11,329 stars, last pushed yesterday), licensed MIT. It adds 14 tokens to every session and 697 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…