본문으로 건너뛰기
cccskills

'fid' 검색 결과

877건 · 관련도순

Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

sayasaya8039/ZWG_Terminal22026년 6월 8일 업데이트

Audit trail, confidence tagging, and ethical checks on every AI decision your operator produces.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

DrNabeelKhan/maxim22026년 10월 16일 업데이트

Maxim 3D CGI product render — engineered for purchase confidence and premium positioning. Uses Material Realism + Endowment Effect + Photorealism Trust Signals to move premium-product viewers toward purchase. Use for luxury product reveals, architectural visualization, tech hardware marketing, high-ticket commerce.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

DrNabeelKhan/maxim22026년 10월 16일 업데이트

atomise

무료

Atom of Thoughts (AoT) reasoning - decompose complex problems into atomic units with confidence tracking and backtracking. For genuinely complex reasoning, not everyday questions. Triggers on: atomise, complex reasoning, decompose problem, structured thinking, verify hypothesis.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

jcasnellie69/homelab-config22026년 10월 16일 업데이트

Human verification for AI agents. Submit claims, draft responses, or observation requests to human domain experts via the 2O API. Returns structured verdicts with confidence scores and evidence.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Lord1Egypt/awesome-skill-forge22026년 6월 10일 업데이트

Refactor code with confidence using comprehensive test safety net:

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

itsimonfredlingjack/codex-dev-plugin22026년 2월 5일 업데이트

Detects AI-generated deepfake audio used in voice phishing (vishing) attacks by extracting spectral features (MFCC, spectral centroid, spectral contrast, zero-crossing rate) and classifying samples with machine learning models. Supports batch analysis of audio files, generates confidence scores, and produces forensic reports. Activates for requests involving deepfake voice detection, vishing investigation, AI-generated speech analysis, voice cloning detection, or audio authenticity verification.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aniket2348823/Vul-Agent22026년 6월 9일 업데이트

Configures Windows Event Logging with advanced audit policies to generate high-fidelity security events for threat detection and forensic investigation. Use when enabling audit policies for logon events, process creation, privilege use, and object access to feed SIEM detection rules. Activates for requests involving Windows audit policy, event log configuration, security logging, or detection-oriented logging.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aniket2348823/Vul-Agent22026년 6월 9일 업데이트

Analyzes indicators of compromise (IOCs) including IP addresses, domains, file hashes, URLs, and email artifacts to determine maliciousness confidence, campaign attribution, and blocking priority. Use when triaging IOCs from phishing emails, security alerts, or external threat feeds; enriching raw IOCs with multi-source intelligence; or making block/monitor/whitelist decisions. Activates for requests involving VirusTotal, AbuseIPDB, MalwareBazaar, MISP, or IOC enrichment pipelines.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aniket2348823/Vul-Agent22026년 6월 9일 업데이트

diff

무료

Reconcile a converted/built web page against its source prototype with two complementary probes — a PIXEL/layout diff (stretched images, dropped wraps, blank renders, colour flips) and a STRUCTURAL content+typography diff (dropped/mis-slotted headings, eyebrows, CTAs; rendered-face font forks). Stack-agnostic via profiles (eds | generic). Use after converting a prototype to EDS/AEM (the stardust:deploy Step 10), or for any prototype↔build fidelity check; invocable as stardust:diff and from workflows.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aemgdc/aemdev22026년 10월 19일 업데이트

Create, fill, or reformat print-ready PDFs with strong visual page fidelity.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Rosetears520/aili-workflows22026년 9월 27일 업데이트

Comprehensive OSINT methodology for external red-team operations and authorized attack-surface assessments. Covers the 5-stage recon pipeline (seed discovery, asset expansion, enrichment, exposure analysis, reporting), asset-graph discipline with 29 asset types, severity rubric (CRITICAL/HIGH/MEDIUM/LOW/INFO), confidence upgrade workflows, time budgeting, asset-level triage rules, scale-based tactics, identity-fabric mapping (Entra/Okta/ADFS/Google/SAML/M365 Teams+SharePoint+OAuth), API and auth-map methodology, JavaScript deep analysis, mobile attack surface, cloud attack surface, breach×identity correlation, detectability tagging, detection-aware probing (back-off, persona rotation), read-only validator discipline, WAF/CDN bypass + origin discovery, vulnerability prioritization (CVE/EPSS/KEV), phishing infrastructure planning + pretext development, bug bounty submission templates, client deliverable templates with risk translation, threat-actor investigation (incl. RU/CN pivots), cryptocurrency tracing,...

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ajtazer/heckit22026년 10월 7일 업데이트

Intelligent search for agents. Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

johnalbertini14-glitch/openclaw-skills22026년 2월 26일 업데이트