chainstackllms.txtchainstack/dev-portal/docs/llms.txt
transactions allowed over RPC](/docs/evm-only-replay-protected-eip-155-transactions-error.md)
- [Checking node latency](/docs/checking-node-latency.md)
- [Best practices for securing your Chainstack endpoint](/docs/best-practices-for-securing-your-chainstack-endpoint.md)
- [Multithreading in Python for Web3 requests](/docs/mastering-multithreading-in-python-for-web3-requests-a-comprehensive-guide.md)
- [Scaling your dApp with Kubernetes: Comprehensive
jungjaehoon-lifegamezllms.txtjungjaehoon-lifegamez/MAMA/docs/llms.txt
Reports and board](guides/reports-and-board.md)
- [Replay](guides/replay.md)
- [Wiki](guides/wiki.md)
- [Corrections and learning](guides/corrections-and-learning.md)
- [Viewer](guides/viewer.md)
- [Security](guides/security.md)
- [Troubleshooting](guides/troubleshooting.md)
- [Architecture](explanation/architecture.md)
- [Owner loop](explanation/owner-loop.md)
- [Work ledger](explanation/work-ledger.md)
- [Memory and search](explanation/memory-and-search.md
peacprotocolllms.txtpeacprotocol/peac/llms.txt
Contract: https://github.com/peacprotocol/peac/blob/main/docs/specs/EVIDENCE-CARRIER-CONTRACT.md
- Kernel Constraints: https://github.com/peacprotocol/peac/blob/main/docs/specs/KERNEL-CONSTRAINTS.md
- MCP Server: https://www.peacprotocol.org/tools/mcp-server
- Security: https://www.peacprotocol.org/security
## Technical Notes
- Current record format: `interaction-record+jwt`
- Frozen legacy format: `peac
sm1eellms.txtsm1ee/Sniper/docs/llms.txt
install instructions and releases
- [Contributor guide](https://github.com/sm1ee/Sniper/blob/main/AGENTS.md): build, test, persistence invariants and security posture
ariaxhanllms.txtariaxhan/kernel-claude/llms.txt
assumes the code is broken until evidence says otherwise.
- `reviewer`: PR review against logic, security, performance, maintainability.
- `researcher`: pre-implementation research on unfamiliar tech and package choices.
- `deep-diver`: failure
Brandcode-Studiollms.txtBrandcode-Studio/brandsystem-mcp/llms.txt
Category tags
brand-runtime, brand-governance, Claude Design integration, design-tokens, voice-compliance, MCP
## Security
Local-first: extraction and compilation run on the user's machine. Network activity is limited
HorizunGroupllms.txtHorizunGroup/horizun-pbi-mcp/llms.txt
Full tool catalogue (139 tools): https://github.com/HorizunGroup/horizun-pbi-mcp/blob/main/docs/TOOL_CATALOG.md
- Architecture and invariants: https://github.com/HorizunGroup/horizun-pbi-mcp/blob/main/docs/ARCHITECTURE.md
- Security model: https://github.com/HorizunGroup/horizun-pbi-mcp/blob/main/docs/SECURITY.md
- Tutorial, install to first dashboard: https://github.com/HorizunGroup/horizun-pbi-mcp/blob/main/docs/TUTORIAL.md
- Horizun Hub ecosystem
HorizunGroupllms.txt HorizunGroup/naviscoord-mcp/llms.txt
quick start: https://github.com/HorizunGroup/naviscoord-mcp/blob/main/docs/QUICKSTART.md
- Full installation: https://github.com/HorizunGroup/naviscoord-mcp/blob/main/docs/INSTALL.md
- Architecture: https://github.com/HorizunGroup/naviscoord-mcp/blob/main/docs/ARCHITECTURE.md
- Security model: https://github.com/HorizunGroup/naviscoord-mcp/blob/main/docs/SECURITY-MODEL.md
- Testing evidence: https://github.com/HorizunGroup/naviscoord-mcp/blob/main/docs/TESTING.md
- Product benchmark: https://github.com/HorizunGroup/naviscoord-mcp/blob/main/docs/BENCHMARK.md
## Product
oyi77llms.txtoyi77/1ai-skills/llms.txt
skills) — Threat hunting, forensics, pen testing, SOC ops, incident response, zero trust, cloud security, API security, OT/ICS security
- **Development** (90 skills) — TDD, debugging, code review, PRD, spec-driven development, context
AetherAI3llms.txtAetherAI3/agent-browser/docs/llms.txt
quickstart and positioning.
- [API contract](https://github.com/AetherAI3/agent-browser/blob/main/docs/API.md): routes, bounds,
and the error envelope.
- [Security model](https://github.com/AetherAI3/agent-browser/blob/main/docs/SECURITY-MODEL.md):
authority, egress policy, and the loopback boundary.
- [Architecture](https://github.com/AetherAI3/agent-browser/blob/main/docs/ARCHITECTURE.md).
datacharterllms.txtdatacharter/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
DCentralTechllms.txtDCentralTech/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
googleSandyllms.txtgoogleSandy/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
HayatoFujiharallms.txtHayatoFujihara/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
HayatoFujiharallms.txt 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
NailShakurovllms.txtNailShakurov/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
bestagentkitsllms.txtbestagentkits/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
chandshyllms.txtchandshy/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-oitllms.txtd-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-appllms.txtevent4u-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
