A mechanical, countable anti-slop checklist for AI-generated frontend.

MITAuto-check passedFrontend & Design

Install Anti Slop Frontend

skills CLI
$ npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend -a claude-code

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

GitHub CLI
$ gh skill install BlackBeltTechnology/pi-agent-dashboard anti-slop-frontend --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/BlackBeltTechnology/pi-agent-dashboard.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/anti-slop/.pi/skills/anti-slop-frontend .claude/skills/anti-slop-frontend && 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
anti-slop-frontend
GitHub stars
315
Token cost
~4.8k tokens
SKILL.md length
2,376 words
Files
1
Skills in repo
70
Repo updated
First seen
Licence
MIT

At a glance

A mechanical, countable anti-slop checklist for AI-generated frontend.

  • Tasks that involve Humanizing AI text
  • SKILL.md covers What this is, and is NOT, Design Read and surface…, The three dials (set once, up… and PART A - Universal tells…, plus 5 more sections
  • Calls git
  • Tasks that involve Accessibility

What it does

Anti Slop Frontend is an agent skill from BlackBeltTechnology/pi-agent-dashboard. A mechanical, countable anti-slop checklist for AI-generated frontend. Catches the specific signatures an undirected model defaults to: AI-purple glows, Inter-everywhere, em-dashes, div-based fake screenshots, eyebrow-on-every-section, beige+brass "premium" palettes, generic Jane Doe / Acme data. Advisory layer that pairs with frontend-mockup-loop (which owns the cite-a-source loop plus WCAG gates) but works standalone in any React/Tailwind/HTML project. Triggers: "does this look AI-generated", "anti-slop pass"…

Its SKILL.md is about 4.8k 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 Frontend & Design, covering Humanizing AI text, Accessibility and CSS and styling. It works with React and Tailwind CSS. The repository describes itself as: Real-time web dashboard for pi coding-agent sessions. Multi-session view, live chat mirroring, integrated terminal, diff viewer, pi-flows execution, and mobile-first remote… The licence is MIT.

When your agent uses it

  • Tasks that involve Humanizing AI text
  • Tasks that involve Accessibility
  • Tasks that involve CSS and styling

Example prompts

  • “premium”
  • “does this look AI-generated”
  • “anti-slop pass”
  • “/anti-slop-frontend”

What it can do on your machine

Read from SKILL.md and the folder at commit 7a2d171. 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:

    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com

    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

Anti Slop Frontend loads about 4.8k tokens when it runs. Until then it costs about 154 tokens; SKILL.md has 2,376 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~154
When it runs · the whole SKILL.md, loaded when a task matches
~4.8k

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 BlackBeltTechnology/pi-agent-dashboard at commit 7a2d171, republished under its MIT licence (© BlackBeltTechnology). 2,376 words, ~4,780 tokens.

Download SKILL.mdSave it as .claude/skills/anti-slop-frontend/SKILL.md (or your agent's skills folder).
name
anti-slop-frontend
description
A mechanical, countable anti-slop checklist for AI-generated frontend. Catches the specific signatures an undirected model defaults to: AI-purple glows, Inter-everywhere, em-dashes, div-based fake screenshots, eyebrow-on-every-section, beige+brass "premium" palettes, generic Jane Doe / Acme data. Advisory layer that pairs with frontend-mockup-loop (which owns the cite-a-source loop plus WCAG gates) but works standalone in any React/Tailwind/HTML project. Triggers: "does this look AI-generated", "anti-slop pass", "remove the AI tells", "why does this look templated", "design review for slop".
license
MIT
metadata.author
blackbelt-technology
metadata.version
0.2
metadata.adapted_from
Leonxlnx/taste-skill@18dfc92 (taste-skill / design-taste-frontend, MIT) - countable rules distilled, stack-coupling removed, scoped by surface profile…

anti-slop-frontend

A flat, mechanical checklist of the concrete signatures an undirected model emits when it tries to "look designed." Every rule here is countable or binary - you can mechanically verify pass/fail, not argue taste. That is the whole point: "it looks better" is not a check; "eyebrow count > ceil(sections/3)" is.

What this is, and is NOT

  • IS an advisory catalog of AI-tells, scoped by surface kind.
  • IS standalone - works with no tooling, in any React/Tailwind/HTML project.
  • IS NOT a design philosophy, a loop, or a gate. It scores; it never blocks.
Relationship to frontend-mockup-loop

Different jobs, intentionally separate:

frontend-mockup-loopanti-slop-frontend (this)
Shapeground→contract→mockup→test→fix→learn loopflat checklist
Basiscite an external public rule (Nielsen, WCAG, Laws of UX)codified AI-tell catalog
Authorityowns the hard gates (WCAG-AA, severity-4)advisory only, drives the fix list
Domainproduct UI, dashboards, flowsuniversal tells + marketing-surface tells

When both are present: the loop's a11y floor and cite-a-source rule win. This skill feeds concrete failing items into the loop's FIX step. It never overrides a gate, and a tell here is never a reason to violate a cited rule.

Authority: advisory. Findings feed the frontend-mockup-loop FIX step and never override a WCAG-AA or severity gate. When a recommendation conflicts with a gate result, the gate result stands and the recommendation is recorded as overridden.

The suite
SkillUse for
anti-slop-frontend (this)review or generate any surface; the tell catalog
anti-slop-redesignchange an existing surface (mode, audit, levers, protected list)
anti-slop-image-directionopt-in reference images for marketing / new-site
anti-slop-brandkitopt-in brand board for a new-site with no brand

Honesty note: these rules are curated taste, hardened into countable form. They are good defaults, not laws of nature. Every rule has an override path: when the brief explicitly asks for the "banned" thing, it is allowed - execute it with intent, not by accident.


Design Read and surface profile (declare first)

Before reviewing or generating, state ONE line:

Design Read: <profile> · <audience> · <mood> · VARIANCE <n> / MOTION <n> / DENSITY <n>

Example: Design Read: marketing · technical buyers · calm, precise · VARIANCE 4 / MOTION 3 / DENSITY 5.

Audience and mood are declared context, not checks. The profile is the switch that decides which rule groups fire:

ProfilePart APart BLayout discipline (B7)Redesign defaultImage direction
product-ui✓✗✗preserveforbidden
marketing✓✓✓preserveopt-in
new-site✓✓✓greenfieldopt-in
  • product-ui: dashboards, admin panels, data tables, editors, wizards, any app screen.
  • marketing: an existing landing / portfolio / about / docs-home page.
  • new-site: a site with no shipped design yet.

Never infer the profile silently. An undeclared profile is how marketing rules leak into dense UI. If the brief is ambiguous, ask exactly one question. A review or generation reported without a Design Read fails Verification.


The three dials (set once, up front)

State these before reviewing or generating. They gate which rules fire and how hard.

  • VARIANCE (1-10) - 1 = perfect symmetry, 10 = artsy chaos
  • MOTION (1-10) - 1 = static, 10 = cinematic/physics
  • DENSITY (1-10) - 1 = art-gallery airy, 10 = cockpit/packed-data

Infer from the brief; don't silently use a baseline. Dashboards/data UI live high on DENSITY and low on VARIANCE/MOTION. Landing/portfolio live the opposite.


PART A - Universal tells (apply to EVERY surface, dashboards included)

These fire regardless of surface kind. A dense admin panel is just as guilty of AI-purple and Inter-everywhere as a landing page.

A1. Color
  • No AI-purple/blue glow as default. No automatic violet button glows, no random neon gradients ("the Lila tell"). Neutral base (Zinc/Slate/Stone) + ONE high-contrast accent. Override: brand literally is purple.
  • Max 1 accent color, saturation < 80% default. Lock it: the same accent on the whole page. A warm-grey UI does not grow a blue CTA in section 7.
  • One neutral temperature per project. Don't drift warm-grey ↔ cool-grey.
  • No pure #000000 / pure #ffffff. Off-black (zinc-950) and off-white; pure values kill depth.
A2. Typography
  • Inter is discouraged as the default. Reach past it (Geist, Outfit, Cabinet Grotesk, Satoshi) unless the brief wants neutral/Linear-style or is accessibility-first. Override exists.
  • Serif is very discouraged as default. "Feels premium/creative" is not a reason. Specifically banned as defaults: Fraunces, Instrument Serif. Serif only when the brief names one or the family is genuinely editorial/luxury/heritage.
  • Emphasis = italic/bold of the SAME family. Never inject a random serif word into a sans headline for "visual interest."
  • One corner-radius scale per page (all-sharp / all-soft / all-pill), or a documented rule followed everywhere.
A3. The em-dash ban (the #1 tell)
  • Zero — and zero –-as-separator anywhere visible. Headlines, labels, pills, body, quotes, attribution, captions, buttons, alt text. No "sparingly." Replace with a period, comma, colon, parentheses, line break, or a spaced hyphen -. Ranges use a plain hyphen (2018-2026, €40-80k).
  • Mechanical check: grep the rendered output for —/–. Any hit = fail.
A4. Fake data ("Jane Doe" effect)
  • No generic names. "John Doe / Sarah Chan / Jack Su" → realistic, locale-appropriate names.
  • No generic brand names. "Acme / Nexus / SmartFlow / Cloudly" → contextual names that sound real.
  • No fake-perfect numbers. 99.99%, 50%, 1234567 → organic values (47.2%, real-looking phone formats). Fake-precise engineering specs (5.8mm, 4.1×) are banned unless from real data or labeled mock.
  • No filler verbs. "Elevate / Seamless / Unleash / Next-Gen / Revolutionize" → concrete verbs.
  • No generic avatars (SVG "egg", default user glyph) → believable placeholders.
A5. Assets & icons
  • No div-based fake screenshots. Building a fake dashboard/terminal/task-list out of styled <div>s is the single biggest tell. Use a real screenshot, a generated image, a real mini component preview, or nothing.
  • No hand-rolled SVG icons. Use one icon family (Phosphor / HugeIcons / Radix / Tabler), standardized stroke width. Lucide only on explicit request.
  • No hand-rolled decorative SVG illustrations as default.
  • No broken image links. Use picsum.photos/seed/{descriptive}/{w}/{h} or generated assets, never dead Unsplash URLs.
A6. Interactive states (the "happy-path only" tell)
  • Loading / empty / error states exist, not just the static success state. Skeletons match final layout shape; avoid generic spinners.
  • Button contrast (a11y). Every CTA's text passes WCAG AA against its own background. No white-on-white, no transparent button on same-color bg with no border. (This one is also a hard gate when frontend-mockup-loop runs.)
  • Form contrast (a11y). Inputs, placeholders, focus rings, helper, error text all pass AA against the section bg. Label above input; never placeholder-as-label.
A7. Motion must be motivated
  • Every animation justifies itself in one sentence - hierarchy, storytelling, feedback, or state-transition. "It looked cool" is not valid. Motion-for-show is amateur.
  • Motion claimed = motion shown. If MOTION > 4, the page actually moves; if you can't ship working motion, drop the dial and ship clean static.
  • Banned mechanism: window.addEventListener('scroll', …) and React-state scroll/rAF loops. Use scroll-driven CSS, IntersectionObserver, or a motion library's scroll primitives.
  • Reduced-motion honored for anything above MOTION 3.
A8. Layering and DOM cost
  • No arbitrary z-index. Every z-* / z-index value comes from one documented layer scale (e.g. base, sticky, dropdown, overlay, modal, toast). Mechanical check: count distinct z-index values in the diff; any value not in the project's scale = fail. z-[9999] / z-50 sprinkled to "win" a stacking fight is the tell.
  • Grain / noise / blur filters only on fixed, pointer-events-none layers, never on a scrolling container (continuous repaint).
  • Animate only transform and opacity. Animating top / left / width / height = fail.
  • No wrapper-div towers. A component that nests > 4 layout-only <div>s to place one element is flagged; flatten with grid/flex on the parent.

PART B - Marketing-surface tells (landing / portfolio / about ONLY)

Skip Part B entirely for dashboards, data tables, wizards, editors, product UI. These rules govern hero-driven marketing pages, where the model's worst templating habits live.

B1. Hero discipline
  • Hero fits the initial viewport. Headline ≤ 2 lines, subtext ≤ 20 words and ≤ 4 lines, CTA visible without scroll. A 4-line headline is a font-size error.
  • Hero top padding ≤ pt-24 desktop (content must not float mid-viewport).
  • Max 4 text elements in the hero: (eyebrow OR brand strip), headline, subtext, CTAs. Banned in hero: trust micro-strip, pricing teaser, tagline under CTAs, feature bullets, avatar row - those move to sections below.
  • No version labels (V0.6, BETA, INVITE-ONLY) unless the brief is a launch.
B2. The eyebrow tell (#1 violated rule)
  • An "eyebrow" = small uppercase wide-tracking label above a section headline (text-[11px] uppercase tracking-[0.18em]).
  • Max 1 eyebrow per 3 sections (hero counts as 1). Mechanical check: count uppercase tracking micro-labels above headlines; fail if > ceil(sections/3).
  • No section-number eyebrows (00 / INDEX, 001 · Capabilities, 06 · how it works). The section's position already categorizes it.
  • Default fix: drop the eyebrow. The headline alone is enough.
B3. Layout repetition
  • No 3 equal feature cards. The "three identical horizontal cards" row is the default. Use asymmetric grid, zig-zag, or a different family.
  • Zigzag cap: max 2 consecutive image+text splits. The 3rd in a row is a fail.
  • Section-layout-repetition ban. A layout family appears at most once. 8 sections → ≥ 4 distinct families.
  • No split-header ("big left headline + small right floating paragraph") as default. Stack headline over body instead.
  • Bento: exact cell count, real rhythm, background diversity. N items → N cells (no empty tiles); ≥ 2-3 cells have real visual variation (image, gradient, pattern), not all white-on-white text cards.
  • Marquee: max one per page.
Show full SKILL.md (942 more words)Show less
B4. CTA & social proof
  • No duplicate CTA intent. "Get in touch" + "Let's talk" + "Contact us" on one page = fail. One label per intent, everywhere.
  • No CTA wraps to 2+ lines at desktop (shorten label or widen button).
  • Logo wall lives UNDER the hero, is logos only (no industry labels beneath), uses real SVG marks (Simple Icons / devicon) or generated monograms, not plain text wordmarks.
B5. Decoration tells (banned by default)
  • No decoration text strip at hero bottom (BRAND. MOTION. SPATIAL.).
  • No locale / city / time / weather strips (LIS 14:23 · 18°C) unless the brief is genuinely place- or timezone-focused.
  • No scroll cues (Scroll, ↓ scroll, Scroll to explore).
  • No version footers (v1.4.2, Build 0048, last sync 4s ago) on marketing pages - those are devtool fixtures.
  • The middle-dot · is rationed (max 1 per metadata line; not the default separator for everything).
  • No decorative status dots before every nav item / row / badge. Only for real semantic state, sparingly.
  • No pills/labels overlaid on images and no pretentious photo-credit captions (Field study no. 12 · Ines Caetano) on stock/placeholder images.
  • No poetic section labels ("From the field", "Field notes", "On our desks") → plain functional labels or none.
  • No border-t + border-b on every row of a long list/spec table. Long lists (>5 items) use a real component (grouped chunks, card grid, tabs, scroll-snap), not a hairline-per-row <ul>.
B6. Copy self-audit
  • Re-read every visible string. Flag and rewrite: grammatically broken phrases, unclear referents, cute-but-wrong wordplay, fake-craftsman micro-meta. Plain functional copy beats AI-cute copy.
B7. Layout discipline (marketing / new-site only)
  • Nav renders on one line at desktop (≥ 1024px). Two lines = fail; condense labels, drop secondary items, or collapse to a menu.
  • Nav height ≤ 80px at desktop (default 64-72px).
  • Hero CTA visible without scrolling at 1440×900 and 1024×768 (see B1).
  • Every multi-column section declares its < 768px fallback in the same component.

Theme parity (T)

A change must hold in every theme the project ships, not only the default. Each item is pass/fail. Human visual judgment of the screenshots is a non-gating note: record it, it never fails the review.

T1. Zero added raw colour literals (all profiles)
  • Count #hex, rgb(, rgba(, hsl(, hsla( on added lines only (the + lines of the change's diff) in shipped UI source (*.tsx|*.jsx|*.css|*.html|*.vue|*.svelte). Any hit = fail; use a theme token instead.

  • Excluded: tests, fixtures, stories, *.svg, and the token-definition files themselves (the files that declare the tokens).

  • Diff-scoped command (adjust the base ref):

    bash
    git diff -U0 origin/main...HEAD -- '*.tsx' '*.jsx' '*.css' '*.html' '*.vue' '*.svelte' \
      ':!**/__tests__/**' ':!**/*.test.*' ':!**/*.spec.*' ':!**/fixtures/**' ':!**/*.stories.*' \
      | grep -E '^\+[^+]' | grep -nE '#[0-9a-fA-F]{3,8}\b|rgba?\(|hsla?\('

    Also exclude your token-definition files with extra ':!<path>' entries.

T2. Token guard clean (product-ui)
  • If the project has a theme-token guard (a script that flags undeclared or misused tokens), it reports no new violation. No guard = item N/A.
T3. Screenshot set per profile
  • product-ui: three screenshots: the default theme in dark, the default theme in light, and one non-default palette. A missing non-default palette screenshot = fail.
  • marketing: screenshots in light and dark, both recorded in the review.
  • new-site: one screenshot per shipped mode.

Mechanical pre-flight (the grep-able subset)

The rules below can be checked by string-search, not judgment. Run them last.

  • Em-dash: zero — / –-as-separator in rendered output (A3).
  • AI-purple: no default violet glow/gradient unless brand-justified (A1).
  • Accent lock: one accent hex family across all sections (A1).
  • Default font: not Inter (unless justified); serif is not Fraunces / Instrument Serif (A2).
  • Fake data: no "Doe / Acme / 99.99% / Elevate" (A4).
  • Fake screenshots: no div-built product UI; no hand-rolled icon paths (A5).
  • CTA/form contrast: every CTA + input passes WCAG AA (A6).
  • Motion: no addEventListener('scroll'); reduced-motion present (A7).
  • (marketing only) Eyebrow count ≤ ceil(sections/3) (B2).
  • (marketing only) Zigzag ≤ 2 consecutive splits; ≥ 4 layout families (B3).
  • (marketing only) CTA intent not duplicated; no CTA wrap at desktop (B4).
  • (marketing only) no decoration/locale/scroll-cue/version strips (B5).
  • (marketing only) Layout discipline: nav on one line, nav ≤ 80px, hero CTA visible without scroll (B7).
  • Z-index: every z-index value is on the documented layer scale; no animated layout properties (A8).
  • Theme parity: zero added raw colour literals in shipped UI source (T1).
  • Theme parity: token guard reports no new violation, if one exists (T2).
  • Theme parity: profile screenshot set exists (T3).

If a box can't be honestly ticked, it's a flagged item - feed it to the fix step.


Pitfalls

  • Do NOT treat these as hard gates. They are advisory; the WCAG/severity gates (owned by frontend-mockup-loop) are the only hard blockers.
  • Do NOT apply Part B to dashboards/product UI - it will fight dense, correct UI.
  • Do NOT cite a tell from this catalog as justification to violate an external documented rule. When the two conflict, the cited public rule wins.
  • Do NOT forget the override path: when the brief explicitly asks for the "banned" thing, allow it - done with intent, not by default-reaching.

Verification

  • A one-line Design Read (profile, audience, mood, dials) was declared before the review or generation; the dials were reasoned from the brief, not defaulted.
  • Only the rule groups the profile enables were applied.
  • The grep-able pre-flight subset was run; every hit is either fixed or has a documented brief-driven override.
  • Part B was applied only to marketing surfaces; skipped for product UI.
  • Theme parity items T1-T3 were recorded for the declared profile.
  • No advisory tell was used to override a WCAG-AA or severity-4 gate.

Adapted from Leonxlnx/taste-skill (design-taste-frontend, MIT) at commit 18dfc92 (2026-10-08); the per-section map lives in packages/anti-slop/UPSTREAM.md. This is a distillation of its countable rules: stack-coupling (Next RSC / Motion / GSAP / next/font) removed, rules re-scoped into universal vs marketing-only, and reframed as an advisory catalog that pairs with - never overrides - frontend-mockup-loop's cite-a-source loop and hard gates. Original taste, original author's eye; full prose corpus and GSAP code skeletons live in the upstream repo.

© BlackBeltTechnology, 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 packages/anti-slop/.pi/skills/anti-slop-frontend of BlackBeltTechnology/pi-agent-dashboard.

Open the folder on GitHubat commit 7a2d171

Compare with similar skills

Anti Slop Frontend 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.

Anti Slop Frontend compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Anti Slop Frontend this skillBlackBeltTechnology/pi-agent-dashboard315—~4.8kAutomated safety check: PassMIT
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Frontend UI FunctionalvictorGPT/vibeusage130—~939Automated safety check: PassMIT
Audit AI Frontendjxnl/personal-monorepo-template563—~1.3kAutomated safety check: PassNone
Shift UI Componentsshift-editor/shift350—~2.5kAutomated safety check: PassApache-2.0
Light Frontend DesignLight0305/Light-skills640—~3.1kAutomated safety check: PassMIT

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Questions about Anti Slop Frontend

What does Anti Slop Frontend do?

A mechanical, countable anti-slop checklist for AI-generated frontend. Anti Slop Frontend is an agent skill from BlackBeltTechnology/pi-agent-dashboard. A mechanical, countable anti-slop checklist for AI-generated frontend.

When should I use Anti Slop Frontend?

Anti Slop Frontend fits situations like: tasks that involve Humanizing AI text; tasks that involve Accessibility; tasks that involve CSS and styling.

How do I install Anti Slop Frontend in Claude Code?

Run `npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend -a claude-code`. Or copy the skill folder (packages/anti-slop/.pi/skills/anti-slop-frontend in BlackBeltTechnology/pi-agent-dashboard) into .claude/skills/anti-slop-frontend in your project. Claude Code loads it when a task matches its description.

How do I install Anti Slop Frontend in Codex?

Run `npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend -a codex`. Or copy the skill folder (packages/anti-slop/.pi/skills/anti-slop-frontend in BlackBeltTechnology/pi-agent-dashboard) into .agents/skills/anti-slop-frontend in your project. Codex loads it when a task matches its description.

Can I use Anti Slop Frontend 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 BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/anti-slop-frontend, .gemini/skills/anti-slop-frontend, .github/skills/anti-slop-frontend and .opencode/skills/anti-slop-frontend in your project.

What does Anti Slop Frontend need to run?

Going by SKILL.md and its folder, Anti Slop Frontend needs the command-line tools its instructions call (git).

Does Anti Slop Frontend access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Anti Slop Frontend 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 Anti Slop Frontend use?

Anti Slop Frontend is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Anti Slop Frontend use?

About 4.8k tokens (SKILL.md is roughly 19k 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 Anti Slop Frontend?

Skills that share tags, products or a category with Anti Slop Frontend: Extract Design (Manavarya09/design-extract, 4.2k stars), Frontend UI Functional (victorGPT/vibeusage, 130 stars), Audit AI Frontend (jxnl/personal-monorepo-template, 563 stars) and Shift UI Components (shift-editor/shift, 350 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Anti Slop Frontend?

BlackBeltTechnology (a GitHub organization) maintains it in BlackBeltTechnology/pi-agent-dashboard, which has 315 GitHub stars. The repository holds 70 skills in this directory. The repository was last updated on October 10, 2026.

Source: BlackBeltTechnology/pi-agent-dashboard on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.