{"slug":"blackbelttechnology-anti-slop-frontend","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\\\".","long_description":"---\nname: anti-slop-frontend\ndescription: \"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\\\".\"\nlicense: MIT\nmetadata:\n  author: blackbelt-technology\n  version: \"0.1\"\n  adapted_from: \"Leonxlnx/taste-skill (design-taste-frontend, MIT) - countable rules distilled, stack-coupling removed, scoped universal vs marketing-only.\"\n---\n\n# anti-slop-frontend\n\nA flat, **mechanical** checklist of the concrete signatures an undirected model\nemits when it tries to \"look designed.\" Every rule here is **countable or\nbinary** - you can mechanically verify pass/fail, not argue taste. That is the\nwhole point: \"it looks better\" is not a check; \"eyebrow count > ceil(sections/3)\"\nis.\n\n## What this is, and is NOT\n\n- **IS** an advisory catalog of AI-tells, scoped by surface kind.\n- **IS** standalone - works with no tooling, in any React/Tailwind/HTML project.\n- **IS NOT** a design philosophy, a loop, or a gate. It scores; it never blocks.\n\n### Relationship to `frontend-mockup-loop`\n\nDifferent jobs, intentionally separate:\n\n| | frontend-mockup-loop | anti-slop-frontend (this) |\n|---|---|---|\n| Shape | ground→contract→mockup→test→fix→learn **loop** | flat **checklist** |\n| Basis | cite an **external public rule** (Nielsen, WCAG, Laws of UX) | codified **AI-tell catalog** |\n| Authority | owns the **hard gates** (WCAG-AA, severity-4) | **advisory only**, drives the fix list |\n| Domain | product UI, dashboards, flows | universal tells + marketing-surface tells |\n\nWhen both are present: the loop's a11y floor and cite-a-source rule **win**.\nThis skill feeds concrete failing items into the loop's FIX step. It never\noverrides a gate, and a tell here is never a reason to violate a cited rule.\n\n> **Honesty note:** these rules are curated *taste*, hardened into countable\n> form. They are good defaults, not laws of nature. Every rule has an **override\n> path**: when the brief explicitly asks for the \"banned\" thing, it is allowed -\n> execute it with intent, not by accident.\n\n---\n\n## The three dials (set once, up front)\n\nState these before reviewing or generating. They gate which rules fire and how hard.\n\n- **`VARIANCE` (1-10)** - 1 = perfect symmetry, 10 = artsy chaos\n- **`MOTION` (1-10)** - 1 = static, 10 = cinematic/physics\n- **`DENSITY` (1-10)** - 1 = art-gallery airy, 10 = cockpit/packed-data\n\nInfer from the brief; don't silently use a baseline. Dashboards/data UI live high\non DENSITY and low on VARIANCE/MOTION. Landing/portfolio live the opposite.\n\n---\n\n## PART A - Universal tells (apply to EVERY surface, dashboards included)\n\nThese fire regardless of surface kind. A dense admin panel is just as guilty of\nAI-purple and Inter-everywhere as a landing page.\n\n### A1. Color\n- **No AI-purple/blue glow as default.** No automatic violet button glows, no\n  random neon gradients (\"the Lila tell\"). Neutral base (Zinc/Slate/Stone) +\n  ONE high-contrast accent. *Override:* brand literally is purple.\n- **Max 1 accent color, saturation < 80% default.** Lock it: the same accent on\n  the whole page. A warm-grey UI does not grow a blue CTA in section 7.\n- **One neutral temperature per project.** Don't drift warm-grey ↔ cool-grey.\n- **No pure `#000000` / pure `#ffffff`.** Off-black (zinc-950) and off-white;\n  pure values kill depth.\n\n### A2. Typography\n- **Inter is discouraged as the *default*.** Reach past it (Geist, Outfit,\n  Cabinet Grotesk, Satoshi) unless the brief wants neutral/Linear-style or is\n  accessibility-first. *Override exists.*\n- **Serif is very discouraged as default.** \"Feels premium/creative\" is not a\n  reason. Specifically banned as defaults: **Fraunces, Instrument Serif**.\n  Serif only when the brief names one or the family is genuinely\n  editorial/luxury/heritage.\n- **Emphasis = italic/bold of the SAME family.** Never inject a random serif\n  word into a sans headline for \"visual interest.\"\n- **One corner-radius scale per page** (all-sharp / all-soft / all-pill), or a\n  documented rule followed everywhere.\n\n### A3. The em-dash ban (the #1 tell)\n- **Zero `—` and zero `–`-as-separator anywhere visible.** Headlines, labels,\n  pills, body, quotes, attribution, captions, buttons, alt text. No \"sparingly.\"\n  Replace with a period, comma, colon, parentheses, line break, or a spaced\n  hyphen ` - `. Ranges use a plain hyphen (`2018-2026`, `€40-80k`).\n- Mechanical check: grep the rendered output for `—`/`–`. Any hit = fail.\n\n### A4. Fake data (\"Jane Doe\" effect)\n- **No generic names.** \"John Doe / Sarah Chan / Jack Su\" → realistic,\n  locale-appropriate names.\n- **No generic brand names.** \"Acme / Nexus / SmartFlow / Cloudly\" → contextual\n  names that sound real.\n- **No fake-perfect numbers.** `99.99%`, `50%`, `1234567` → organic values\n  (`47.2%`, real-looking phone formats). Fake-precise engineering specs\n  (`5.8mm`, `4.1×`) are banned unless from real data or labeled mock.\n- **No filler verbs.** \"Elevate / Seamless / Unleash / Next-Gen / Revolutionize\"\n  → concrete verbs.\n- **No generic avatars** (SVG \"egg\", default user glyph) → believable placeholders.\n\n### A5. Assets & icons\n- **No div-based fake screenshots.** Building a fake dashboard/terminal/task-list\n  out of styled `<div>`s is the single biggest tell. Use a real screenshot, a\n  generated image, a real mini component preview, or nothing.\n- **No hand-rolled SVG icons.** Use one icon family (Phosphor / HugeIcons /\n  Radix / Tabler), standardized stroke width. Lucide only on explicit request.\n- **No hand-rolled decorative SVG illustrations** as default.\n- **No broken image links.** Use `picsum.photos/seed/{descriptive}/{w}/{h}` or\n  generated assets, never dead Unsplash URLs.\n\n### A6. Interactive states (the \"happy-path only\" tell)\n- **Loading / empty / error states exist**, not just the static success state.\n  Skeletons match final layout shape; avoid generic spinners.\n- **Button contrast (a11y).** Every CTA's text passes WCAG AA against its own\n  background. No white-on-white, no transparent button on same-color bg with no\n  border. *(This one is also a hard gate when frontend-mockup-loop runs.)*\n- **Form contrast (a11y).** Inputs, placeholders, focus rings, helper, error text\n  all pass AA against the section bg. Label above input; never placeholder-as-label.\n\n### A7. Motion must be motivated\n- **Every animation justifies itself in one sentence** - hierarchy, storytelling,\n  feedback, or state-transition. \"It looked cool\" is not valid. Motion-for-show\n  is amateur.\n- **Motion claimed = motion shown.** If `MOTION > 4`, the page actually moves; if\n  you can't ship working motion, drop the dial and ship clean static.\n- **Banned mechanism: `window.addEventListener('scroll', …)`** and React-state\n  scroll/rAF loops. Use scroll-driven CSS, IntersectionObserver, or a motion\n  library's scroll primitives.\n- **Reduced-motion honored** for anything above `MOTION 3`.\n\n---\n\n## PART B - Marketing-surface tells (landing / portfolio / about ONLY)\n\nSkip Part B entirely for dashboards, data tables, wizards, editors, product UI.\nThese rules govern hero-driven marketing pages, where the model's worst\ntemplating habits live.\n\n### B1. Hero discipline\n- **Hero fits the initial viewport.** Headline ≤ 2 lines, subtext ≤ 20 words and\n  ≤ 4 lines, CTA visible without scroll. A 4-line headline is a font-size error.\n- **Hero top padding ≤ `pt-24` desktop** (content must not float mid-viewport).\n- **Max 4 text elements in the hero**: (eyebrow OR brand strip), headline,\n  subtext, CTAs. Banned in hero: trust micro-strip, pricing teaser, tagline\n  under CTAs, feature bullets, avatar row - those move to sections below.\n- **No version labels** (`V0.6`, `BETA`, `INVITE-ONLY`) unless the brief is a launch.\n\n### B2. The eyebrow tell (#1 violated rule)\n- An \"eyebrow\" = small uppercase wide-tracking label above a section headline\n  (`text-[11px] uppercase tracking-[0.18em]`).\n- **Max 1 eyebrow per 3 sections** (hero counts as 1). Mechanical check: count\n  `uppercase tracking` micro-labels above headlines; fail if > ceil(sections/3).\n- **No section-number eyebrows** (`00 / INDEX`, `001 · Capabilities`, `06 · how it\n  works`). The section's position already categorizes it.\n- **Default fix: drop the eyebrow.** The headline alone is enough.\n\n### B3. Layout repetition\n- **No 3 equal feature cards.** The \"three identical horizontal cards\" row is the\n  default. Use asymmetric grid, zig-zag, or a different family.\n- **Zigzag cap: max 2 consecutive image+text splits.** The 3rd in a row is a fail.\n- **Section-layout-repetition ban.** A layout family appears at most once. 8\n  sections → ≥ 4 distinct families.\n- **No split-header** (\"big left headline + small right floating paragraph\") as\n  default. Stack headline over body instead.\n- **Bento: exact cell count, real rhythm, background diversity.** N items → N\n  cells (no empty tiles); ≥ 2-3 cells have real visual variation (image,\n  gradient, pattern), not all white-on-white text cards.\n- **Marquee: max one per page.**\n\n### B4. CTA & social proof\n- **No duplicate CTA intent.** \"Get in touch\" + \"Let's talk\" + \"Contact us\" on one\n  page = fail. One label per intent, everywhere.\n- **No CTA wraps to 2+ lines at desktop** (shorten label or widen button).\n- **Logo wall lives UNDER the hero, is logos only** (no industry labels beneath),\n  uses real SVG marks (Simple Icons / devicon) or generated monograms, not plain\n  text wordmarks.\n\n### B5. Decoration tells (banned by default)\n- **No decoration text strip** at hero bottom (`BRAND. MOTION. SPATIAL.`).\n- **No locale / city / time / weather strips** (`LIS 14:23 · 18°C`) unless the\n  brief is genuinely place- or timezone-focused.\n- **No scroll cues** (`Scroll`, `↓ scroll`, `Scroll to explore`).\n- **No version footers** (`v1.4.2`, `Build 0048`, `last sync 4s ago`) on\n  marketing pages - those are devtool fixtures.\n- **The middle-dot `·` is rationed** (max 1 per metadata line; not the default\n  separator for everything).\n- **No decorative status dots** before every nav item / row / badge. Only for\n  real semantic state, sparingly.\n- **No pills/labels overlaid on images** and **no pretentious photo-credit\n  captions** (`Field study no. 12 · Ines Caetano`) on stock/placeholder images.\n- **No poetic section labels** (\"From the field\", \"Field notes\", \"On our desks\")\n  → plain functional labels or none.\n- **No `border-t` + `border-b` on every row** of a long list/spec table. Long\n  lists (>5 items) use a real component (grouped chunks, card grid, tabs,\n  scroll-snap), not a hairline-per-row `<ul>`.\n\n### B6. Copy self-audit\n- Re-read every visible string. Flag and rewrite: grammatically broken phrases,\n  unclear referents, cute-but-wrong wordplay, fake-craftsman micro-meta. Plain\n  functional copy beats AI-cute copy.\n\n---\n\n## Mechanical pre-flight (the grep-able subset)\n\nThe rules below can be checked by string-search, not judgment. Run them last.\n\n- [ ] **Em-dash:** zero `—` / `–`-as-separator in rendered output (A3).\n- [ ] **AI-purple:** no default violet glow/gradient unless brand-justified (A1).\n- [ ] **Accent lock:** one accent hex family across all sections (A1).\n- [ ] **Default font:** not Inter (unless justified); serif is not Fraunces /\n      Instrument Serif (A2).\n- [ ] **Fake data:** no \"Doe / Acme / 99.99% / Elevate\" (A4).\n- [ ] **Fake screenshots:** no div-built product UI; no hand-rolled icon paths (A5).\n- [ ] **CTA/form contrast:** every CTA + input passes WCAG AA (A6).\n- [ ] **Motion:** no `addEventListener('scroll')`; reduced-motion present (A7).\n- [ ]","tagline":"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 Ja","category":"research","tags":["agent-skill"],"author":"BlackBeltTechnology","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"github fast track","sourceDetail":"BlackBeltTechnology/pi-agent-dashboard","creatorName":"BlackBeltTechnology","creatorUrl":"https://github.com/BlackBeltTechnology","sourceUrl":"https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/blackbelttechnology-anti-slop-frontend#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":270,"forks":38,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":40.13},"quality":{"score":71,"tier":"strong","label":"Strong","summary":"Solid option that is likely worth shortlisting for production workflows.","signals":[{"label":"GitHub stars","value":"270","tone":"neutral"},{"label":"Freshness","value":"2d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":[]},"trust":{"version":"trust-score-v5","score":69,"base_score":77,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["69/100 Trust Score v5","77/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":62,"weight":0.13,"status":"info","detail":"270 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":57,"weight":0.08,"status":"warn","detail":"270 stars, 38 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"2d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":76,"weight":0.14,"status":"info","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":72,"weight":0.12,"status":"info","detail":"command execution surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":76,"weight":0.07,"status":"info","detail":"shell or command execution"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"info","label":"GitHub adoption","detail":"270 GitHub stars"},{"status":"warn","label":"Stars/forks activity","detail":"270 stars, 38 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"2d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"info","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"info","label":"Dependency/runtime risk","detail":"command execution surface"},{"status":"pass","label":"Install availability","detail":"npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"info","label":"Permission surface","detail":"shell or command execution"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 270 stars, 38 forks; issue activity unavailable in current metadata","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"270 GitHub stars","repoActivity":"270 stars, 38 forks","lastPushed":"2d since push","license":"MIT","repository":"https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend","install":"npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":true,"command":"npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","2d since push","Financial domain: human review is required before use in a live investment workflow.","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 270 stars, 38 forks; issue activity unavailable in current metadata"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["research","agent-skill"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend","trust_score":69,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["research","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 270 stars, 38 forks; issue activity unavailable in current metadata"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":77,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v5":{"version":"trust-score-v5","score":69,"base_score":77,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["69/100 Trust Score v5","77/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":62,"weight":0.13,"status":"info","detail":"270 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":57,"weight":0.08,"status":"warn","detail":"270 stars, 38 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"2d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":76,"weight":0.14,"status":"info","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":72,"weight":0.12,"status":"info","detail":"command execution surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":76,"weight":0.07,"status":"info","detail":"shell or command execution"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"info","label":"GitHub adoption","detail":"270 GitHub stars"},{"status":"warn","label":"Stars/forks activity","detail":"270 stars, 38 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"2d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"info","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"info","label":"Dependency/runtime risk","detail":"command execution surface"},{"status":"pass","label":"Install availability","detail":"npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"info","label":"Permission surface","detail":"shell or command execution"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 270 stars, 38 forks; issue activity unavailable in current metadata","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"270 GitHub stars","repoActivity":"270 stars, 38 forks","lastPushed":"2d since push","license":"MIT","repository":"https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend","install":"npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":true,"command":"npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","2d since push","Financial domain: human review is required before use in a live investment workflow.","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Financial research output is not financial advice; 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require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 270 stars, 38 forks; issue activity unavailable in current metadata"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":77,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v4":{"version":"trust-score-v4","score":77,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout.","recommendedAction":"Test in a sandbox workflow and compare its install path with close alternatives.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":62,"weight":0.13,"status":"info","detail":"270 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":57,"weight":0.08,"status":"warn","detail":"270 stars, 38 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"2d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":76,"weight":0.14,"status":"info","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":72,"weight":0.12,"status":"info","detail":"command execution surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":76,"weight":0.07,"status":"info","detail":"shell or command execution"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"info","label":"GitHub adoption","detail":"270 GitHub stars"},{"status":"warn","label":"Stars/forks activity","detail":"270 stars, 38 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"2d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"info","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"info","label":"Dependency/runtime risk","detail":"command execution surface"},{"status":"pass","label":"Install availability","detail":"npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"info","label":"Permission surface","detail":"shell or command execution"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Install command has no obvious high-risk pattern"],"warnings":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 270 stars, 38 forks; issue activity unavailable in current metadata"],"evidence":{"stars":"270 GitHub stars","repoActivity":"270 stars, 38 forks","lastPushed":"2d since push","license":"MIT","repository":"https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend","install":"npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","2d since push","Financial domain: human review is required before use in a live investment workflow."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 270 stars, 38 forks; issue activity unavailable in current metadata"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Human review or sandbox validation is required before automatic installation."},"bestFor":["research","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 270 stars, 38 forks; issue activity unavailable in current metadata"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"outcome_stats":null,"safety":{"score":53,"level":"avoid_auto_install","label":"Avoid automatic install","safety_tier":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","summary":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_policy":"review","reasons":["High-risk permission hints: Shell or command execution","53/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"shell","label":"Shell or command execution","reason":"Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.","severity":"high"},{"id":"browser","label":"Browser automation","reason":"Skill may drive a browser or interact with web pages.","severity":"medium"},{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"}],"policy_warnings":["High-risk permission hints: Shell or command execution","Financial research output is not financial advice; require human review before any live investment decision"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","auto_install_policy":"review","auto_install_allowed":false,"blocked":false,"human_review_required":true,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","reasons":["High-risk permission hints: Shell or command execution","53/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"review","score":72,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_allowed":false,"policy":"review","human_review_required":true},"blockers":[],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Audit score: Needs review","Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Permission surface: shell or command execution","High-risk permission hints: Shell or command execution","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 270 stars, 38 forks; issue activity unavailable in current metadata"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":84,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate anti-slop-frontend before installing it in an agent workflow","research","Local desktop workflows; Claude Code teams; builders willing to evaluate younger projects"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend"]},{"id":"install_safety","label":"Install command safety","status":"pass","score":92,"required_for_auto_install":true,"detail":"standard package or runtime install path","evidence":["npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend"]},{"id":"trust_score","label":"Trust score","status":"warn","score":77,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","270 GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"warn","score":81,"required_for_auto_install":true,"detail":"Needs review","evidence":["Financial research output is not financial advice; require human review before any live investment decision"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":53,"required_for_auto_install":true,"detail":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","evidence":["Test manually in an isolated workspace and compare against safer alternatives.","High-risk permission hints: Shell or command execution"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"warn","score":76,"required_for_auto_install":false,"detail":"Public metadata needs stronger README/SKILL.md context","evidence":["Usable metadata, review docs"]},{"id":"license_clarity","label":"License clarity","status":"pass","score":86,"required_for_auto_install":true,"detail":"MIT","evidence":["MIT"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"2d since push","evidence":["2d since push"]},{"id":"permission_surface","label":"Permission surface","status":"warn","score":76,"required_for_auto_install":true,"detail":"shell or command execution","evidence":["Shell or command execution: high","Browser automation: medium","Network access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"info","score":55,"required_for_auto_install":false,"detail":"No close alternatives were found in the current shortlist.","evidence":[]}],"endpoints":{"web":"https://www.openagentskill.com/skills/blackbelttechnology-anti-slop-frontend/evals","api":"/api/agent/evals?slug=blackbelttechnology-anti-slop-frontend","text":"/api/agent/evals?slug=blackbelttechnology-anti-slop-frontend&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"blackbelttechnology-anti-slop-frontend","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\\\".","category":"research","url":"https://www.openagentskill.com/skills/blackbelttechnology-anti-slop-frontend","repository":"https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend","github_repo":"BlackBeltTechnology/pi-agent-dashboard"},"suited_tasks":["Local desktop workflows","Claude Code teams","builders willing to evaluate younger projects","Navigate local resources","Run repeatable desktop actions","Verify file outputs","Chunk documents","Create embeddings"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add blackbelttechnology-anti-slop-frontend"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"anti-slop-frontend\" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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\\\". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"blackbelttechnology-anti-slop-frontend\",\"task\":\"Install anti-slop-frontend\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"anti-slop-frontend\" as a Claude Code skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: 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\\\". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"blackbelttechnology-anti-slop-frontend\",\"task\":\"Install anti-slop-frontend\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"anti-slop-frontend\" from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: 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\\\". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"blackbelttechnology-anti-slop-frontend\",\"task\":\"Install anti-slop-frontend\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/blackbelttechnology-anti-slop-frontend/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/blackbelttechnology-anti-slop-frontend"},"trust":{"score":77,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"270 GitHub stars","repoActivity":"270 stars, 38 forks","lastPushed":"2d since push","license":"MIT","repository":"https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend","install":"npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["research","agent-skill"],"known_risks":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 270 stars, 38 forks; issue activity unavailable in current metadata"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":81,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 270 stars, 38 forks; issue activity unavailable in current metadata"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":71,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"RAG and knowledge","maintenance":"2d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 270 stars, 38 forks; issue activity unavailable in current metadata"],"agent_contract":{"task_input":"Use anti-slop-frontend in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 77/100 Strong shortlist","Audit: 81/100 Needs review","Safety: 53/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"blackbelttechnology-anti-slop-frontend (anti-slop-frontend)","install_command":"npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"blackbelttechnology-anti-slop-frontend","task":"Use anti-slop-frontend in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/blackbelttechnology-anti-slop-frontend","api":"https://www.openagentskill.com/api/agent/skills/blackbelttechnology-anti-slop-frontend","audit":"https://www.openagentskill.com/skills/blackbelttechnology-anti-slop-frontend/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=blackbelttechnology-anti-slop-frontend&task=Use%20anti-slop-frontend%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20anti-slop-frontend%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20anti-slop-frontend%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/blackbelttechnology-anti-slop-frontend/install","manifest":"https://www.openagentskill.com/api/registry/manifest/blackbelttechnology-anti-slop-frontend"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"blackbelttechnology-anti-slop-frontend","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\\\".","category":"research","url":"https://www.openagentskill.com/skills/blackbelttechnology-anti-slop-frontend","repository":"https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend","github_repo":"BlackBeltTechnology/pi-agent-dashboard"},"suited_tasks":["Local desktop workflows","Claude Code teams","builders willing to evaluate younger projects","Navigate local resources","Run repeatable desktop actions","Verify file outputs","Chunk documents","Create embeddings"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add blackbelttechnology-anti-slop-frontend"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"anti-slop-frontend\" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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\\\". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"blackbelttechnology-anti-slop-frontend\",\"task\":\"Install anti-slop-frontend\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"anti-slop-frontend\" as a Claude Code skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: 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\\\". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"blackbelttechnology-anti-slop-frontend\",\"task\":\"Install anti-slop-frontend\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"anti-slop-frontend\" from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: 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\\\". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"blackbelttechnology-anti-slop-frontend\",\"task\":\"Install anti-slop-frontend\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/blackbelttechnology-anti-slop-frontend/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/blackbelttechnology-anti-slop-frontend"},"trust":{"score":77,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"270 GitHub stars","repoActivity":"270 stars, 38 forks","lastPushed":"2d since push","license":"MIT","repository":"https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend","install":"npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["research","agent-skill"],"known_risks":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 270 stars, 38 forks; issue activity unavailable in current metadata"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":81,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 270 stars, 38 forks; issue activity unavailable in current metadata"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":71,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"RAG and knowledge","maintenance":"2d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 270 stars, 38 forks; issue activity unavailable in current metadata"],"agent_contract":{"task_input":"Use anti-slop-frontend in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 77/100 Strong shortlist","Audit: 81/100 Needs review","Safety: 53/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"blackbelttechnology-anti-slop-frontend (anti-slop-frontend)","install_command":"npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"blackbelttechnology-anti-slop-frontend","task":"Use anti-slop-frontend in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/blackbelttechnology-anti-slop-frontend","api":"https://www.openagentskill.com/api/agent/skills/blackbelttechnology-anti-slop-frontend","audit":"https://www.openagentskill.com/skills/blackbelttechnology-anti-slop-frontend/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=blackbelttechnology-anti-slop-frontend&task=Use%20anti-slop-frontend%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20anti-slop-frontend%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20anti-slop-frontend%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/blackbelttechnology-anti-slop-frontend/install","manifest":"https://www.openagentskill.com/api/registry/manifest/blackbelttechnology-anti-slop-frontend"}},"supply_profile":{"track":{"slug":"research","label":"Research and knowledge work","shortLabel":"Research","description":"Deep research, source comparison, literature review, RAG, knowledge search, and reports."},"scenario":{"label":"RAG and knowledge","description":"I need my agent to build a RAG workflow over documents and retrieve reliable context.","useCases":[{"slug":"local-desktop","title":"Local desktop"},{"slug":"rag-knowledge","title":"RAG and knowledge"},{"slug":"research-agents","title":"Research agents"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":270,"starsLabel":"270","forks":38,"license":"MIT","qualityScore":71,"trustScore":77,"auditScore":81},"maintenance":{"status":"fresh","label":"2d since push","daysSincePush":2,"lastPushedAt":"2026-09-03T09:09:28+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 270 stars, 38 forks; issue activity unavailable in current metadata","Needs review"]},"coverageTags":["Research","RAG and knowledge","agent-skill"]},"audit":{"audit_score":81,"risk_level":"needs_review","risk_label":"Needs review","quality_score":71,"trust_score":77,"maintenance_score":100,"security_score":84,"install_score":92,"warnings":["Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 270 stars, 38 forks; issue activity unavailable in current metadata"]},"quality_signals":{"model":"v2","star_score":17.03,"usage_score":0,"review_score":5.1,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"local-desktop","title":"Local desktop","url":"https://www.openagentskill.com/use-cases/local-desktop"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"}],"stacks":[{"slug":"frontend-product-ui","title":"Frontend and UI","url":"https://www.openagentskill.com/collections/frontend-product-ui"},{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"rag-knowledge-base","title":"RAG knowledge base","url":"https://www.openagentskill.com/collections/rag-knowledge-base"}],"install":"npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add blackbelttechnology-anti-slop-frontend","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"anti-slop-frontend\" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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\\\". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"blackbelttechnology-anti-slop-frontend\",\"task\":\"Install anti-slop-frontend\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"anti-slop-frontend\" as a Claude Code skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: 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\\\". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"blackbelttechnology-anti-slop-frontend\",\"task\":\"Install anti-slop-frontend\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"anti-slop-frontend\" from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: 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\\\". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"blackbelttechnology-anti-slop-frontend\",\"task\":\"Install anti-slop-frontend\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend","github_repo":"BlackBeltTechnology/pi-agent-dashboard","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/blackbelttechnology-anti-slop-frontend","repository":"https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend","api":"/api/agent/skills/blackbelttechnology-anti-slop-frontend","install_api":"/api/skills/blackbelttechnology-anti-slop-frontend/install"},"meta":{"created_at":"2026-09-03T16:27:20.968008+00:00","updated_at":"2026-09-03T16:27:21.043117+00:00","agent_friendly":true}}