'forge' 검색 결과

Forge Modular's generator, patch checker, module pack and Forge-worktree seam — the traps that make green results untrue

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Building and shipping a Forge app (Modular, Instrument, MIDI, FX, and the sequencer work to come) as a signed installer somebody else can actually use. Covers the seam between the Forge and Pulp repos, what a green signal does and does not prove, shipping the runtime rather than only the binary, and the wiring gaps that make a finished feature behave like a missing one.

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The art-route layer of the Forge skills. route_media.py is the one command that generates an image or an image-to-video clip - through the paid API of any provider whose key is configured (OpenAI, Google Gemini, xAI, BytePlus ModelArk, fal.ai; the configured key is the owner's consent), else through the user's own signed-in Codex or Grok CLI - and prints one JSON line with the route, artifact, sha256 and cost estimate; with no route it answers no-route (codeart2d is then the last resort). Also the capability check (forge_doctor), API key configuration, the spend ledger, resume and Codex image adoption. Use when a Forge skill sends a generation here, for the capability check, or when the user asks about keys, routes or spend. Not for planning, processing or QA of sprites, video frames or maps (generate2dsprite, video2dsprite, generate2dmap) or for code-drawn art (codeart2d).

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Data structures and algorithms for AI agent episodic memory. Covers vector stores (HNSW, IVF, PQ), temporal indexing, knowledge graphs with triple stores, hierarchical summarization, forgetting curves, working/long-term/ procedural memory, and memory consolidation. Deep analysis of MemGPT/Letta, Zep/Graphiti, Mem0, and the Stanford generative agents memory architecture. Teaches the CS fundamentals behind how agents remember, retrieve, and forget. Activate on: "agent memory", "episodic memory", "vector search algorithm", "HNSW", "memory retrieval", "forgetting curve", "knowledge graph memory", "MemGPT", "Letta", "Zep", "Mem0", "memory consolidation", "temporal retrieval", "agent long-term memory", "memory layer". NOT for: conversation protocol design (use agent-conversation-protocols), agent infrastructure selection (use agentic-infrastructure-2026), building RAG pipelines (use ai-engineer).

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Host modded Minecraft servers (CurseForge, Modrinth).

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Create and manage online courses via the CourseForge API (caringcourseforge.com)

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产品诊断与 PRD 迭代：诊断根因（设计缺陷/实现偏离/PRD 遗漏），必要时反驳需求，更新 PRD 并生成带异常态门禁的 Feature Spec。 触发方式：用户说"更新PRD"、"调整需求"、"迭代PRD"、"forge-prd"、描述产品问题、需要修改产品需求时。

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设计实现：把 DESIGN.md 转成代码，只改样式不改逻辑；CSS 优先、Token 驱动、反 AI 模板、原子提交，以真实截图和 CSS 断言验证。 触发方式：用户说"实现设计"、"forge-design-impl"、设计文档确认后需要写代码时。

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复盘 v3（Workbench 门禁型）：启动本地 Workbench，用户在独立会话页确认想学的知识点和深度，按选择调研产出复盘文档； 同时落 2-3 条账本条目（记录/复盘/learnings.jsonl）供 bugfix/eng 开工回放与复发检测。 触发方式：用户说"总结知识"、"学习总结"、"复盘"、"可视化复盘"、"/forge-fupan"。

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Pre-deployment security audit of Solidity smart contracts in a Foundry project. Combines static analysis (Slither, Aderyn), symbolic execution (Mythril), and property-based testing (forge fuzz + invariant tests with handlers) to catch reentrancy, access-control, oracle/price manipulation, and arithmetic bugs BEFORE deploying to an EVM chain. Also enforces key hygiene (no plaintext private keys, encrypted cast keystore) and a secure deploy workflow. Use when writing, reviewing, testing, or deploying Solidity/Foundry contracts, building a dApp, or working with forge/cast/anvil, MetaMask, or Web3/DeFi code.

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Host modded Minecraft servers (CurseForge, Modrinth).

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Host modded Minecraft servers (CurseForge, Modrinth).

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Run multiple Reforge-guided section-refactor lanes in parallel, each in its own worktree/branch off origin/main, with a score-blind adversarial review panel gating every commit, one draft PR per section. Use when the user wants to reduce Reforge surface/internal score across several sections at once via architecturally-correct deletions (dead surface, entity-leak removal, cross-section consumers moved onto the public contract) — not by relocation, parameter bags, or accessibility-dodging. Wraps the per-lane process in .codex/skills/humans-refactor. Triggers: 'refactor swarm', 'parallel section refactors', 'run reforge refactor on Users/Tickets/...', 'burn down surface score across sections'. Has an intensity dial (light|standard|deep) and a workflow|solo execution mode to trade token burn against autonomy per unit of output.

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Data structures and algorithms for AI agent episodic memory. Covers vector stores (HNSW, IVF, PQ), temporal indexing, knowledge graphs with triple stores, hierarchical summarization, forgetting curves, working/long-term/ procedural memory, and memory consolidation. Deep analysis of MemGPT/Letta, Zep/Graphiti, Mem0, and the Stanford generative agents memory architecture. Teaches the CS fundamentals behind how agents remember, retrieve, and forget. Activate on: "agent memory", "episodic memory", "vector search algorithm", "HNSW", "memory retrieval", "forgetting curve", "knowledge graph memory", "MemGPT", "Letta", "Zep", "Mem0", "memory consolidation", "temporal retrieval", "agent long-term memory", "memory layer". NOT for: conversation protocol design (use agent-conversation-protocols), agent infrastructure selection (use agentic-infrastructure-2026), building RAG pipelines (use ai-engineer).

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Hunt JWT cryptographic failures — alg:none signature-stripping and RS256→HS256 key-confusion that let an attacker forge a token for any identity (e.g. an admin) without knowing a secret. Use when the app authenticates with a JSON Web Token (an `eyJ...` Bearer token in the Authorization header, a cookie, or a login response). This skill OWNS JWT signature/crypto forgery (alg:none, key confusion, kid/jku header injection); hunt-ato covers JWT as one ATO path, hunt-auth-bypass covers SSO/SAML token trust, hunt-api-misconfig covers non-crypto JWT handling. Critical when a forged token grants access to another user's data or an admin-only endpoint.

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참고 소재의 색감과 편집 리듬을 재사용할 설정으로 정리하고, 오프라인에서 영상 편집과 이미지·동영상·3D 소재 생성 계획 및 편집 가능한 타임라인을 만듭니다.

• 영상 취향을 인터뷰하고 설정으로 정리합니다
• 스타일 팩을 검증하고 출처를 확인합니다
• 참고 영상의 리듬으로 편집을 계획합니다

Examine an early idea through focused questions from different perspectives. Test assumptions, expose weak points, and clarify decisions so you can strengthen the idea, reject it, or understand it better, with a report recording the outcome.

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• Clarify an early idea and its assumptions
• Challenge an idea from buyer, competitor, or critic perspectives
• Check a proposed change against existing project materials

Retrieve earlier decisions, preferences, and saved resources from OpenViking across sessions. Store durable information, import documents or repositories, and manage deletion, with guidance on how project memory is shared between directories and repository clones.

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• Recall decisions from earlier sessions
• Save preferences and lasting decisions
• Import files, URLs, or Git repositories for later use

Assess Microsoft Entra ID with AADInternals during authorized security testing. Examine publicly exposed tenant information, API access, and federation weaknesses, including Golden SAML, a token forgery technique, then document evidence and recommendations for stronger identity protection.

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• Mapping publicly exposed Entra ID tenant information
• Checking API access available through acquired tokens
• Validating AD FS signing certificate protection

Operate cognee from the terminal to store, retrieve, update, and remove information. Covers dataset and configuration management, ingestion cost estimates, session history access, and commands for inspecting or applying database migrations.

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• Storing documents and asking questions from the terminal
• Estimating token usage and cost before importing data
• Managing datasets and saved configuration

Find and delete selected memories stored in agentmemory after showing the matches and receiving explicit confirmation. It checks deletion results and distinguishes stored memories from lessons, observations, and complete session records.

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• Removing outdated stored memories
• Deleting selected memories containing private information
• Reviewing matching memories before deletion

Use the new Process APIs in .NET 11 applications to run external commands, capture output and errors, and manage child processes. Guidance covers waiting for completion, reading output, and controlling whether processes survive their parent.

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• Capturing output and errors from external commands
• Stopping child processes when the parent exits
• Reading process output one line at a time

SpecStory Lore - mine your SpecStory coding histories (any agent - Claude Code, Codex, Cursor, Gemini, and more) into a persistent corpus, surface your reproducible workflows with corroborated evidence, and interactively forge the chosen ones into skills installed across all your agent harnesses. Use when the user wants to turn past AI coding sessions into reusable skills, asks "what could I make into a skill", "mine my lore", "forge skills from my history", or points at a .specstory/history directory.

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Detect Server-Side Request Forgery (SSRF) vulnerabilities in a codebase using a three-phase approach: recon (find outbound call sites), batched verify (trace user input to destinations in parallel subagents, 3 sites each), and merge (consolidate batch results). Requires sast/architecture.md (run sast-analysis first). Outputs findings to sast/ssrf-results.md. Use when asked to find SSRF or server-side request forgery bugs.

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