Front-End Checklist is a collection of front-end web development rules organized as a practical review and quality workflow for people and AI agents. Developers use it to audit projects and pull requests, check implementation details, and find guidance for remediation and verification. The catalogue entries provide skills, instructions, MCP tools, and a plugin for using the checklist in agent workflows.
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 skills add thedaviddias/Front-End-Checklist --skill avoid-evalgit clone --depth 1 https://github.com/thedaviddias/Front-End-ChecklistWrote 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/thedaviddias/front-end-checklist/avoid-eval)<a href="https://agentmods.dev/skills/thedaviddias/front-end-checklist/avoid-eval"><img src="https://agentmods.dev/badge/skills/thedaviddias/front-end-checklist/avoid-eval/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/thedaviddias/front-end-checklist/avoid-eval"><img src="https://agentmods.dev/badge/skills/thedaviddias/front-end-checklist/avoid-eval.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 5.1 | $0.00048 | $0.00455 |
| Opus 5.5 | $0.00019 | $0.00182 |
| Sonnet 5.5 | $0.00010 | $0.00091 |
| Haiku 4.5 | $0.00005 | $0.00046 |
Grade A, and why
avoid-eval 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 18d 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.
What it actually says
Never use eval() or unsafe dynamic code execution
eval() and its equivalents are the root cause of some of the most severe XSS vulnerabilities. If any user-controlled string reaches eval(), an attacker can execute arbitrary JavaScript in your users' browsers — stealing sessions, making requests as the user, or redirecting to malicious sites. Content Security Policy (CSP) blocks eval() but not new Function(), and there is never a legitimate use case that can't be solved without it.
Quick Reference
- eval() executes arbitrary strings as code — any user input passed to it is a critical security hole
- new Function() is equally dangerous and not caught by CSP eval restrictions
- setTimeout('code', delay) and setInterval('code', delay) also evaluate strings — use function references instead
- Use JSON.parse() instead of eval() for parsing JSON
Check
Search this codebase for any use of eval(), new Function(), or setTimeout/setInterval with string arguments.
Fix
Replace eval() calls with safe alternatives: JSON.parse for data, object lookups for dynamic dispatch, and Function references for timers.
Explain
Explain why eval() is dangerous, how it enables XSS attacks, and what safe alternatives exist for each use case.
Code Review
Review scripts, client components, and browser execution paths related to Never use eval() or unsafe dynamic code execution. Flag exact imports, event handlers, runtime side effects, or blocking operations that violate the rule, and state how the change should be verified in the browser.
For full implementation details, code examples, and framework-specific guidance,
see references/rule.md.
Rule page: https://frontendchecklist.io/rules/javascript/avoid-eval
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 18d ago Changed 5c668b163132
- 1mo ago First seen · 46 lines · 48 tokens per session scan A 627a235f443e
avoid-eval is a skill published in the GitHub repository thedaviddias/Front-End-Checklist (74,548 stars, last pushed 16d ago), licensed MIT. It adds 48 tokens to every session and 455 once invoked, about $0.0002 per session on Opus 5.5. 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
project-onboarding
Standard procedure for onboarding new software projects: Feature analysis, code quality review, onboarding checklist, and task creation.
aios-codemap-ops
Quick reference for code-review-graph (CRG) MCP tools. Use when you need to look up a CRG tool name, parameter, or pattern. For workflow guidance, see AGENTS.md decision checkpoints. Requires aios internal codemap install.
aios-codemap-ops
Quick reference for code-review-graph (CRG) MCP tools. Use when you need to look up a CRG tool name, parameter, or pattern. For workflow guidance, see AGENTS.md decision checkpoints. Requires aios internal codemap install.
code-review-checklist
Guide an AI agent through a structured code review — correctness, security, performance, readability, and test coverage — producing a summary with actionable, prioritized feedback. Triggers on pull-request review, diff review, or "review this code" requests.
Security Audit Checklist
A PASS/FAIL/N/A checklist covering injection, authorization, secrets handling, dependency risk, and input validation for reviewing a diff or codebase.
Security Checklist
A structured PASS / FAIL / N/A checklist covering common risk categories for reviewing a diff before merge.