测试设计、漏洞检测、质量保证（1.3万 个）
Use when the user asks to review or clean up R code for tidyverse style, standardize formatting or names, remove redundant comments or wrappers, or make a behavior-preserving style pass. Also use when writing substantial new R package code if the user requests tidyverse style or the package already follows it. Not for routine small edits or general correctness, security, or test-quality reviews.
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Generate and improve accessible alt text for data visualizations and images in R packages and Quarto documents. Use when the user wants to add, improve, or audit alt text for figures in a pkgdown site or .qmd files. Activate for requests that mention fig-alt, fig.alt, figure descriptions, or alt text in the context of an R package or Quarto document.
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Turn one confirmed security finding into a disclosure-ready GitHub advisory with root cause, proof of concept, impact, and source evidence. Use for reporting an established vulnerability, not discovering or validating one.
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Find similar vulnerabilities and bugs across codebases using pattern-based analysis. Use when hunting bug variants, building CodeQL/Semgrep queries, analyzing security vulnerabilities, or performing systematic code audits after finding an initial issue.
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Systematically verifies suspected security bugs to eliminate false positives. Produces TRUE POSITIVE or FALSE POSITIVE verdicts with documented evidence for each bug.
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Identifies dependencies at heightened risk of exploitation or takeover. Use when assessing supply chain attack surface, evaluating dependency health, or scoping security engagements.
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Run Semgrep static analysis across a codebase, optionally using Semgrep Pro for cross-file taint analysis. Use when Semgrep or a static-analysis scan is requested; use security-review for a manual audit.
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Creates language variants of existing Semgrep rules. Use when porting a Semgrep rule to specified target languages. Takes an existing rule and target languages as input, produces independent rule+test directories for each language.
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Perform a focused security review of pending git changes to identify high-confidence security vulnerabilities with real exploitation potential. Use this skill when the user asks for a security review, security audit, vulnerability scan, or wants to check pending changes on a branch for security issues before merging. This is NOT a general code review.
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Audit and improve project-rules files (AGENTS.md, CLAUDE.md, .agents/instructions, local overrides) so the agent keeps accurate project context. Use when the user asks to check, audit, review, update, improve, or fix their AGENTS.md or CLAUDE.md, mentions "project rules maintenance" or "agent context optimization", or when the codebase has changed enough that the rules file may be stale. Scans the repository for every rules file, grades each against a quality rubric, outputs a quality report, and applies targeted edits only after user approval.
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Audit GitHub Actions that run AI agents for prompt injection, unsafe interpolation, sandbox gaps, and permissive actor rules. Use for agentic CI workflows, not general application code review.
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Capture learnings from the current session into the project-rules file (AGENTS.md, CLAUDE.md, or local override) so future sessions benefit. Use when the user says "revise the rules", "update AGENTS.md / CLAUDE.md with what we just learned", "save this to project memory", "remember this for next time", or at the end of a productive session when valuable context has emerged that is not yet documented. This complements agents-md-improver — improver audits, while this one captures.
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Identify error-prone APIs, dangerous configuration, and footgun designs that enable security mistakes. Use for API ergonomics, misuse resistance, secure defaults, or pit-of-success reviews; use code-review for general defects.
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Creates custom Semgrep rules for detecting security vulnerabilities, bug patterns, and code patterns. Use when writing Semgrep rules or building custom static analysis detections.
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Create a repository-grounded AppSec threat model covering assets, trust boundaries, attackers, abuse paths, and mitigations. Use only for explicit threat-modeling requests, not general architecture or code review.
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Detects fail-open insecure defaults (hardcoded secrets, weak auth, permissive security) that allow apps to run insecurely in production. Use when auditing security, reviewing config management, or analyzing environment variable handling.
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출간 ready 직전 read-only critic. 8-item rubric 강제. 'looks good' rubber-stamp 금지. 라인 ref 필수. 2-round revision hard cap. '최종 QA', '출간 검수', 'rubric으로 평가' 류 트리거.
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디자인·프론트 업계가 '감'으로 쓰던 인터페이스 디테일을 수치화한 규칙으로 적용(APPLY)하거나 감사(AUDIT)한다. Jakub Krehel의 make-interfaces-feel-better 철학을 계승 + HIG/Material/WCAG/DS 토큰/실무자 리서치로 확장한 17축·113규칙(provenance 등급별). 모션 타이밍·이징·동심원 radius·tabular-nums·44px 타깃·focus ring·prefers-reduced-motion 등. 'feel 좋게 다듬어줘', '인터페이스 디테일 적용', 'feel 점검', '마이크로 인터랙션 손봐줘', 'make this feel better', 'polish the interactions', 「インターフェースの細部を詰めて」, 「介面細節打磨」 류에 트리거. 브랜드 토큰은 DESIGN.md(omd:apply)가 우선.
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절제미를 측정 가능한 규칙으로 — 덜어내기(subtraction)·여백·위계를 AUDIT(렌더된 페이지를 데스크톱·모바일에서 재서 규칙별 PASS/FAIL+수치)하거나 APPLY(인벤토리 → 필요 없는 것 삭제 → 중복 병합 → 비운 자리를 초점 요소에 준다 → 재측정)한다. 초점 1개(1등 ≥ 2× 2등), 첫 화면 조각 ≤ 5, 서체 크기 ≤ 4, 헤드라인 ≤ 2줄, 첫 화면 단어 예산, 히어로 CTA ≤ 2, 액센트 1개, 장식 선·그리드·eyebrow 금지, 첫 화면 빈 면적 ≥ 65%, 얇은 화면 금지, 페이지 길이 예산. 규칙마다 출처 등급(실측/관례/휴리스틱). '덜어내 줘', '절제미', '너무 복잡해', '여백 살려줘', '심플하게', 'too busy', 'simplify the page', 'declutter', 'more whitespace', 「余白を活かして」, 「引き算のデザイン」, 「留白」, 「太擁擠了」 류에 트리거. 브랜드 토큰은 DESIGN.md가 이기고, 이 스킬은 양과 위계만 다룬다.
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절제미를 측정 가능한 규칙으로 — 덜어내기(subtraction)·여백·위계를 AUDIT(렌더된 페이지를 데스크톱·모바일에서 재서 규칙별 PASS/FAIL+수치)하거나 APPLY(인벤토리 → 필요 없는 것 삭제 → 중복 병합 → 비운 자리를 초점 요소에 준다 → 재측정)한다. 초점 1개(1등 ≥ 2× 2등), 첫 화면 조각 ≤ 5, 서체 크기 ≤ 4, 헤드라인 ≤ 2줄, 첫 화면 단어 예산, 히어로 CTA ≤ 2, 액센트 1개, 장식 선·그리드·eyebrow 금지, 첫 화면 빈 면적 ≥ 65%, 얇은 화면 금지, 페이지 길이 예산. 규칙마다 출처 등급(실측/관례/휴리스틱). '덜어내 줘', '절제미', '너무 복잡해', '여백 살려줘', '심플하게', 'too busy', 'simplify the page', 'declutter', 'more whitespace', 「余白を活かして」, 「引き算のデザイン」, 「留白」, 「太擁擠了」 류에 트리거. 브랜드 토큰은 DESIGN.md가 이기고, 이 스킬은 양과 위계만 다룬다.
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Repurpose existing content into a native Instagram post. Take a LinkedIn, blog, YouTube script, or X tweet or thread and rebuild it for Instagram: a long piece becomes a carousel or a caption, re-hooked before the 125-char fold, off-platform artifacts stripped (X @-handles, link in bio), published via Publora on approval. Use to adapt content across platforms into Instagram. Not for writing from scratch (use ig-caption-writer or ig-carousel-planner), not for auditing a draft (ig-humanizer --mode audit).
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Remove the AI tells readers react to in an Instagram caption or carousel slide: 2026 vocabulary by density, reveal bridges, staccato stacks, stacked triads, performed sincerity, emoji storms; caps em dashes. Includes --mode audit (first-125 hook, length, hashtags, emoji, CTA, media) and --mode profile. Not for beating AI detectors (no edit reliably does). Not for writing from scratch (use ig-caption-writer or ig-carousel-planner). Keywords: humanize, de-AI caption, audit before posting.
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Draft an Instagram caption with the hook in the first 125 characters, a skimmable body, and one clear CTA, using a 2026 hook formula chosen by goal (saves, shares, comments, follows). Runs the humanizer pass and, on approval, publishes with the image or video you supply via the Publora media flow. Use to caption a single image or a Reel. Not for slide-by-slide carousels (use ig-carousel-planner) or auditing a draft (use ig-humanizer --mode audit).
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멀티 에이전트 디자인 워크플로우 supervisor. writer, locale adaptation, humanize, UI slop audit, designer review, final QA, image materialization을 routing한다. 2-round revision cap을 유지하며 다국어 문서·UI 개선·출간 준비처럼 여러 역할이 필요한 요청에 사용한다.
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