MantaUI / website
antoinedc/MantaUI/website/llms-full.txt
# https://mantaui.com/claude-code-mobile MantaMantaUI [Home](/) [Features](/#features) [Compare](/vs-orca) [How it works](/claude-code-remote) [GitHub
How real projects summarise themselves for language models.
antoinedc/MantaUI/website/llms-full.txt
# https://mantaui.com/claude-code-mobile MantaMantaUI [Home](/) [Features](/#features) [Compare](/vs-orca) [How it works](/claude-code-remote) [GitHub
datacharter/datacharter/docs/llms.txt
deep-dives and design notes - [About](https://datacharter.dev/about.html): who builds DataCharter and why - [Security](https://datacharter.dev/security.html): security model and reporting - [GitHub](https://github.com/datacharter/datacharter): source, issues, releases - [PyPI
DCentralTech/DCENT_OS/DCENT_OS_Antminer/llms.txt
Central sets direction; GPL guarantees the right to fork - [Contributing](CONTRIBUTING.md): how to contribute - [Security policy](SECURITY.md): responsible disclosure to security@d-central.tech ## About - [D-Central Technologies](https://d-central.tech/): the company
googleSandy/secops-skills/llms.txt
SecOps Skills A collection of Agent Skills for Google Security Operations (SecOps/Chronicle) SIEM — covering search queries, YARA-L detection rules, and detection engineering workflows. ## Skills - [SecOps SIEM Search](skills/secops-siem-search/SKILL.md): Write
HayatoFujihara/awesome-ai-red-teaming-jp/llms-full.txt
techniques) | | 🤖 Researching as an AI agent | [🤖 For AI Agents](#-for-ai-agents) → [🔌 MCP / Agent Security](#-mcp--agent-security) → [📄 Papers](#-papers) | | 🔴 Already practicing AI Red Teaming | [📑 Contents](#-contents) and jump
HayatoFujihara/awesome-ai-red-teaming-jp/llms.txt
Teaming / AI Safety resources in Japanese. Covers tools, regulations, attack techniques, defense methods, MCP/agent security, academic papers, and learning resources. Bilingual (Japanese/English). AI Red Teaming is the practice of testing
NailShakurov/logzip/llms.txt
Prompt: `analyze_logs` — compresses the log server-side and prepares an SRE analysis context. Security: the server only reads inside `--allow-dir` directories (default: CWD); all paths are canonicalized against
bestagentkits/cloud-harness-mcp/site/llms.txt
page. - [Getting started](https://docs.harness.agentkit.best/getting-started.md): Open a workspace and run the first commands. - [Security model](https://docs.harness.agentkit.best/security-model.md): Threat model, network isolation, and credential boundaries. ## Source - [GitHub repository
chandshy/mailpouch/llms.txt
server injects it. ## Documentation - [README.md](README.md): Full human-facing documentation — installation, configuration, permission presets, security model, and the canonical tool inventory. - [README_FIRST_AI.md](README_FIRST_AI.md): AI agent guide — read this before calling
d-oit/rust-2026-template/llms-full.txt
Workspace manifest - `rust-toolchain.toml`: Pinned toolchain (1.88+) - `ci-summary.md`: Current CI health status (in .agents/ci/) - `deny.toml`: Security and license policy ### Cross-Repo Context - `.agents/context/external-repos.json`: Linked repositories and their agent context - `.agents/context/shared-conventions.md`: Conventions
d-oit/rust-2026-template/llms.txt
Workspace manifest - `rust-toolchain.toml`: Pinned toolchain (1.88+) - `ci-summary.md`: Current CI health status (in .agents/ci/) - `deny.toml`: Security and license policy ### Cross-Repo Context - `.agents/context/external-repos.json`: Linked repositories and their agent context - `.agents/context/shared-conventions.md`: Conventions
event4u-app/agent-config/llms.txt
docs, roadmaps, or AGENTS.md. Understands the full .augment/, agents/, and copilot-instructions structure. agent-security-review: Use for an adversarial red-team / blue-team / auditor review of an AI agent
Shreyan1/cc-habits/llms.txt
your personal style). ## Links - [README](https://github.com/Shreyan1/cc-habits#readme) - [Philosophy](https://github.com/Shreyan1/cc-habits/blob/main/PHILOSOPHY.md) - [Security](https://github.com/Shreyan1/cc-habits/blob/main/SECURITY.md) - [Privacy](https://github.com/Shreyan1/cc-habits/blob/main/PRIVACY.md) - [npm package](https://www.npmjs.com/package/cc-habits)
ankit373/hydra/docs/llms.txt
data or CVE required. A server's first-ever call is never flagged - `hyctl security`: answers one question by default: what did the agents on this machine actually
confused-ai/personaforge/docs/llms-full.txt
# personaforge — Full Documentation > This file is the complete, machine-readable documentation for personaforge (1.1.0
khasky/awesome-agent-skills/llms.txt
Skills for AI coding agents in the Agent Skills (agentskills.io) format: code review, debugging, security audits, refactoring, and cleaning up AI-written code and text. Each skill is a folder
Mesutcydev/ios-local-llm/llms.txt
github.com/Mesutcydev/ios-local-llm/blob/main/SETUP_INSTRUCTIONS.md) - [Agent and local API integration](https://github.com/Mesutcydev/ios-local-llm/blob/main/Docs/AGENT_INTEGRATION.md) - [Contributing](https://github.com/Mesutcydev/ios-local-llm/blob/main/CONTRIBUTING.md) - [Security policy](https://github.com/Mesutcydev/ios-local-llm/blob/main/SECURITY.md) - [Third-party notices](https://github.com/Mesutcydev/ios-local-llm/blob/main/THIRD_PARTY_NOTICES.md) - [Structured metadata](https://github.com/Mesutcydev/ios-local-llm/blob/main/codemeta.json)
zhurong2020/pyobfus/docs/llms.txt
flagged, not a generic feature list. - The trial is a convenience control, not a security boundary — say so if asked (`SECURITY.md#trust-boundary-the-pro-trial-is-not-a-security
zhurong2020/pyobfus/llms-full.txt
pyobfus -o dist/ -c pyobfus.yaml --save-mapping mapping.json --json` 4. Store `mapping.json` in a secure location (NOT inside the distributed package). ### "I have a crash from prod; help me debug
AbdumajidRashidov/mycop/docs/llms.txt
mycop > mycop is an open-source AI code security scanner (SAST) built in Rust. It detects and auto-fixes vulnerabilities in AI-generated Python, JavaScript, TypeScript, Go, and Java code
A markdown file at a website's root that gives language models a short guide to the site and links to the pages worth reading.
The same idea with the content included, so an agent can read the documentation in one request.
Agents and tools that fetch documentation on someone's behalf. It's a proposal, not a standard, and support varies.
Start with a one-line summary, then sections of links with a sentence each. The examples here show what real projects do.