index

An integration layer for AI coding agents such as Claude Code, Cursor, Gemini, and others. It connects those agents to shared project intelligence through hooks, memory-search tools, and add-on instructions.

In plain words
What is it for?
Use it to capture coding-agent activity, provide context during sessions, search shared memory, and extend supported agents with additional skills.
Why use it?
It lets engineers using different coding agents contribute to and use the same project knowledge.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/goondocks-co/open-agent-kit/index
Clone the repo
git clone --depth 1 https://github.com/goondocks-co/open-agent-kit
Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 919 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00014 $0.00919
Opus 5 $0.00007 $0.00460
Sonnet 5 $0.00003 $0.00184
Haiku 4.5 $0.00001 $0.00092

Measured yesterday against content hash f3077fcd0f17, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

index 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 yesterday.

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.

docs/src/content/docs/agents/index.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

These are the AI coding agents your team uses to build software — Claude Code, Cursor, Gemini, and others. OAK integrates with each of them through hooks (to capture activity and inject context), MCP tools (for semantic search and memory), and skills (to extend what agents can do). No matter which agent your engineers prefer, OAK ensures every session contributes to and benefits from your project's shared intelligence.

:::note[Looking for OAK's built-in agents?] OAK also runs its own autonomous agents that turn captured intelligence into action — documentation, analysis, and insights. See OAK Agents. :::

Supported Agents

Agent Directory Hooks MCP Skills
Claude Code .claude/ Yes Yes Yes
Codex CLI .codex/ Yes (OTel) Yes Yes
Cursor .cursor/ Yes Yes Yes
Gemini CLI .gemini/ Yes Yes Yes
OpenCode .opencode/ Yes (Plugin) Yes Yes
VS Code Copilot .github/ Yes Yes Yes
Windsurf .windsurf/ Yes No Yes

For details on what each agent's hooks actually provide (context injection, activity capture, summarization), see the Team overview.

Skills & Commands

OAK deploys skills and commands into each agent's native directories. Skills are the primary way OAK extends your agent — invoke them with slash commands like /project-governance or /oak.

After oak init, 4 skills are available:

  • OAK/oak (semantic search, impact analysis, memory, database queries)
  • Rules Management/project-governance (constitutions, agent files, RFCs)
  • Context Engineering/context-engineering (prompt design, context optimization, the four strategies)
  • Swarm/swarm (cross-project search for collective knowledge and patterns)

See the Skills page for full details on each skill.

Agent Instruction Files

OAK creates and manages instruction files that reference your project constitution:

Read the full file on GitHub · 76 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. yesterday First seen · 76 lines · 14 tokens per session scan A f3077fcd0f17

Subscribe to this mod's changes

index is an agent published in the GitHub repository goondocks-co/open-agent-kit (10 stars, last pushed 1mo ago), licensed MIT. It adds 14 tokens to every session and 919 once invoked, about $0.0001 per session on Opus 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.

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