frontclippy UI Audit

VerifiedCaution

Run frontclippy against a local HTML file, live URL, snapshot JSON, suite, or manifest and summarize findings.

Sby Skills Guide Bot
DevelopmentIntermediate
7/23/2026
Claude CodeCursorWindsurf
#frontend-audit#ui-testing#cli-tool#accessibility-check

Recommended for

Automated summary

Runs the frontclippy CLI to audit HTML files, URLs, snapshots, or manifests for UI issues, accessibility, and behavioral problems.

Strengths

  • Supports multiple audit types (check, trace-check, matrix-check).
  • Can output SARIF format for CI integration.
  • Works with various input types (local files, URLs, snapshots, manifests).
  • Includes baseline and suppression features.

Limitations

  • Requires the frontclippy repository to be set up with the Rust toolchain.
  • Only analyzes the provided targets; cannot crawl entire sites.
  • Output depends on target quality; no built-in visual regression.
When to use it

When you need a detailed audit of a frontend surface for accessibility, keyboard flow, or stress testing.

When not to use it

When you need full end-to-end automated testing or visual diff comparisons.

Security analysis

Caution
Quality score85/100

The skill executes cargo run on a local Rust project, which involves compilation and execution of potentially untrusted code. It also performs network requests if a URL target is provided. These actions are inherent to the tool's purpose but require trust in the repository and target.

Findings
  • •Runs `cargo run` which compiles and executes arbitrary code from the local repository; could have side effects if repository is untrusted.
  • •Target parameter may be a URL, leading to unintended network requests during analysis.
How this analysis is made

Examples

Audit a live URL
Run frontclippy check on https://example.com and summarize the findings.
Audit with SARIF output
Audit the local file checkout-chaos.html with frontclippy and output SARIF format.
Run a keyboard-flow audit
Run a trace-check on fixtures/checkout-chaos.html and show the results.

name: frontclippy-audit description: Run frontclippy against a local HTML file, live URL, snapshot JSON, suite, or manifest and summarize the findings. Use when the user asks to audit a UI, inspect frontclippy output, emit SARIF, or run capture plus analysis.

frontclippy-audit

Use this in the frontclippy repo when the user wants a real audit run instead of a theoretical explanation.

Workflow

  1. Work from the repo root.
  2. Choose the narrowest command for the artifact the user provided:
    • Local HTML file or live URL:
cargo run -p frontclippy-cli -- check <target>
  • Behavioral or keyboard-flow audit:
cargo run -p frontclippy-cli -- trace-check <target>
  • Stress or matrix audit:
cargo run -p frontclippy-cli -- matrix-check <target>
  • Snapshot JSON:
cargo run -p frontclippy-cli -- analyze <snapshot.json>
  • Related snapshots:
cargo run -p frontclippy-cli -- suite-analyze <snapshot-a.json> <snapshot-b.json> [...]
  • Manifest:
cargo run -p frontclippy-cli -- manifest-check <manifest.toml>
  1. Add --format sarif when the user wants CI or code-scanning output.
  2. Add --config, --baseline, --suppressions, or --write-baseline when review state matters.
  3. If no target is provided, use fixtures/frontclippy.manifest.toml for a broad demo or fixtures/checkout-chaos.html for a single-surface demo.

Response Pattern

Return:

  1. the exact command that ran
  2. the finding count and highest severity
  3. whether findings were configured, suppressed, or baselined
  4. the most relevant next step

From the file to a first result

The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.

View the source and supporting files

This download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.

1. Download the file

Download SKILL.md

From the root of a test project, save the file as .skill-downloads/frontclippy-ui-audit-mrwakfy6/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.

Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.

mkdir -p '.skill-downloads/frontclippy-ui-audit-mrwakfy6' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/frontclippy-ui-audit-mrwakfy6/download' --output '.skill-downloads/frontclippy-ui-audit-mrwakfy6/SKILL.md.part' && mv '.skill-downloads/frontclippy-ui-audit-mrwakfy6/SKILL.md.part' '.skill-downloads/frontclippy-ui-audit-mrwakfy6/SKILL.md'

2. Check prerequisites

Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.

No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.

The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.

3. Load the skill

After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.

Claude Code
test -f '.skill-downloads/frontclippy-ui-audit-mrwakfy6/SKILL.md' && test -s '.skill-downloads/frontclippy-ui-audit-mrwakfy6/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/frontclippy-audit' && cp -R '.skill-downloads/frontclippy-ui-audit-mrwakfy6' '.claude/skills/frontclippy-audit'

Cursor
test -f '.skill-downloads/frontclippy-ui-audit-mrwakfy6/SKILL.md' && test -s '.skill-downloads/frontclippy-ui-audit-mrwakfy6/SKILL.md' && mkdir -p '.cursor/skills' && test ! -e '.cursor/skills/frontclippy-audit' && cp -R '.skill-downloads/frontclippy-ui-audit-mrwakfy6' '.cursor/skills/frontclippy-audit'

OpenSkills

OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.

Official OpenSkills installation
openskills install './.skill-downloads/frontclippy-ui-audit-mrwakfy6'

openskills read 'frontclippy-ui-audit-mrwakfy6'

Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.

For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.

openskills sync

Manual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.

4. Try a first task

Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:

Read .skill-downloads/frontclippy-ui-audit-mrwakfy6/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.

Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.

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