AI Agent Skills

Analyzes and generates llms.txt files -- a lightweight anti-hallucination facts hedge that tells AI systems your canonical business facts and key pages. NOT an AI-visibi…

Gestion avancée du contexte pour agents IA — fenêtre de contexte, compression, RAG dynamique, sliding window, prompt caching. Se déclenche avec "context window", "contex…

OMK（Observe. Measure. Know.）让 AI 应用的知识改动有据可依。观测真实表现，受控测量 prompt / RAG / skill / agent / workflow 的版本差异，判断改动是否有效、版本能否发布，并支持自动迭代改进。 Use when: 用户提到"评测"、"测评"、"eval"、"benchma…

RAG answerer that only answers from supplied context.

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跨版本符号迁移与二进制差分。当你有旧版本的符号/逆向结果，需要快速迁移到新版本时使用。 适用场景：内核缺 PDB 用旧版符号推导、程序更新后批量迁移函数名、应用更新后快速定位新偏移。 核心方法：用 LLM 做结构化差异比对，程序化输入输出，成本极低（200 函数 ~1 元）。 触发关键词：符号迁移、bindiff、跨版本、PDB 缺失、…

Run an arbitrary Hugging Face safetensors model on an Intel GPU using **upstream PyTorch** (>= 2.8) with the built-in `torch.xpu` device. Covers loading from the Hub, pi…

llm-wiki style broadcast ingest — conversational update of related existing pages when a Raw has been distilled. Use when the user says "broadcast", "跑 broadcast", "comp…

Monitor brand reputation and sentiment across Twitter/X, Reddit, Instagram, YouTube, and LinkedIn using anysite MCP server. Track brand mentions, analyze customer sentim…

How to use the anysite MCP server effectively - the meta-tools (discover, execute, get_page, query_cache, export_data, search_requests, merge_data with join_on enrichmen…

Use when building AI agents with agentfootprint — LLMCall, Agent, skills, RAG, memory, control flow, Swarm concepts, mock/anthropic/openai/ollama providers, tools, recor…

Abuse an LLM agent's tools/functions — coerce it to call tools with attacker-chosen args for SSRF, RCE, data exfil, or privilege abuse. Load when the target is an agent…

Bypass an LLM's safety/guardrails to make it produce restricted output or ignore its policy. Load when testing an AI product's content controls, "jailbreak", "guardrail…

Unbounded-consumption / denial-of-wallet attacks on LLM apps — force runaway tokens, cost, or latency. Load when testing an LLM product's limits/billing, on "LLM DoS", c…

Extract or steal an ML/LLM model's parameters, training data, or system prompt via query access — model stealing, membership inference, training-data extraction. Load wh…

Poison a RAG/knowledge-base pipeline so retrieved content hijacks the model (indirect prompt injection at scale) or exfiltrates data. Load when the app does retrieval ov…