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Khala-Agentic-AI-Teams: Instructions file for Claude Code

CLAUDE.md

Khala-Agentic-AI-Teams CLAUDE.md is an instructions file for Claude Code from brandonkindred/Khala-Agentic-AI-Teams. It costs 3,338 tokens per session, scanned A, original, Apache-2.0.

A set of instructions for working in Khala, a software platform that runs multiple specialized AI teams through one application. It explains the repository layout, architecture, and how to build and run the project.

In plain words
What is it for?
Use it when developing, debugging, building, or running the Khala repository and its backend, frontend, or agent teams.
Why use it?
It gives a coding agent a map of an unfamiliar codebase so it can find the right components and follow the project's operating rules.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions subagents; mentions Claude Code.

This is brandonkindred/Khala-Agentic-AI-Teams's own configuration. It tells Claude Code how to work on Khala-Agentic-AI-Teams itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Khala-Agentic-AI-Teams configures →

not rated 5repo 1mo ago A scan 3,338 tokens original Apache-2.0
View source ↗ brandonkindred/Khala-Agentic-AI-Teams
Reuse

Borrowing it

Nothing to install: this file belongs to brandonkindred/Khala-Agentic-AI-Teams. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/brandonkindred/Khala-Agentic-AI-Teams/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/brandonkindred/Khala-Agentic-AI-Teams

Made for: Claude Code.

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Per session 3,338 This file is loaded in full into every session.
When invoked 3,338 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.03338 $0.03338
Opus 5.5 $0.01335 $0.01335
Sonnet 5.5 $0.00668 $0.00668
Haiku 4.5 $0.00334 $0.00334

Measured 2mo ago against content hash 076e6c66d347, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Khala-Agentic-AI-Teams CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 123 lines

How it starts

The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

Guidance for Claude Code (claude.ai/code) working in this repository. This file is a map, not the territory — a high-level orientation that links out to the detailed docs. For operational depth (full command reference, every env var, per-team internals), follow the links.

Project Overview

Khala is a multi-agent orchestration platform that simulates autonomous software development teams and specialized business functions. It mounts 23 enabled agent "teams" (software engineering, blogging, personal assistant, market research, SOC2 compliance, social marketing, branding, agent provisioning, accessibility audit, AI systems, investment, planning, coding team, sales, road trip planning, agentic team provisioning, startup advisor, user agent founder, deepthought, job matching, user profile, product delivery, agent studio) under a single Unified FastAPI app, with an Angular 19 frontend. The authoritative team list is TEAM_CONFIGS in backend/unified_api/config.py.

Repository Structure

One directory per agent team under backend/agents/, with platform infra as a sibling package under backend/shared/. Load-bearing entries:

backend/
  shared/                   # Platform infra (postgres, temporal, agent_invoke, …) →
                             # import shared.<name> (see Architecture below)
  agents/
    software_engineering_team/  # Primary team — full dev pipeline; contains the codegen_team
                                # (config-driven backend/frontend code generation), devops,
                                # coding-team execution engine (Tech Lead + Task Graph, routed
                                # at /api/coding-team), integration, and QA sub-teams
    planning_team/           # Client-facing discovery/PRD team (/api/planning)
    product_delivery/        # Persistent Product Delivery Loop (/api/product-delivery)
    llm_service/             # Centralized LLM client (Ollama, Claude, RunPod)
    agent_platform/          # In-process platform: registry, console, sandbox, Studio authoring
    agent_cognition/         # Memory, rules, and tools substrate for generated agents
    agent_team_studio/       # Infra + domain apps: provisioning, agentic compose, personas
    artifact_registry/       # Shared artifact persistence
    event_bus/               # Cross-team event publishing
    api/                     # Legacy blog API surface (see blogging/ for current pipeline)
  unified_api/               # Single-entry-point FastAPI server; config.py = TEAM_CONFIGS +
                             # security gateway + Temporal settings
  run_unified_api.py         # CLI launcher
  Makefile                   # Primary build/run targets
docker/                      # Full-stack compose: Postgres, Temporal, Ollama, Agents, UI
user-interface/              # Angular 19 frontend (src/app: components/, models/, services/)

Read the full file on GitHub · 123 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 123 lines · 3,338 tokens per session scan A 076e6c66d347

Subscribe to this mod's changes

Khala-Agentic-AI-Teams CLAUDE.md is an instructions file published in the GitHub repository brandonkindred/Khala-Agentic-AI-Teams (5 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 3,338 tokens to every session, about $0.0134 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

LLMagentic-aiai-agentsai-orchestrationanthropic-claudefastapi
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