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.
npx agentmods add instructions/exponen-agi/recursive-agentic-improvements/claude-mdgit clone --depth 1 https://github.com/exponen-agi/recursive-agentic-improvementsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/exponen-agi/recursive-agentic-improvements/claude-md)<a href="https://agentmods.dev/instructions/exponen-agi/recursive-agentic-improvements/claude-md"><img src="https://agentmods.dev/badge/instructions/exponen-agi/recursive-agentic-improvements/claude-md.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.05593 | $0.05593 |
| Opus 5 | $0.02797 | $0.02797 |
| Sonnet 5 | $0.01119 | $0.01119 |
| Haiku 4.5 | $0.00559 | $0.00559 |
Grade B, and why
recursive-agentic-improvements CLAUDE.md scanned grade B with 1 finding 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 4d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
**Recommended: MCP servers for live docs.** Add to `~/.claude/settings.json`: How it starts
The opening of the file, as written. The whole thing — 578 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — Recursive Agentic Improvements
Behavioral guidelines for Claude Code and human contributors working in this repository. Adapted from the Karpathy CLAUDE.md and extended with project-specific rules.
Priority order when rules conflict: Core Invariants > Skill File Contract > Docs Contract > Style > Judgment.
Strict Token Optimization Protocols
1. Response Verbosity
- Moderate Explanations: Provide minimal direct solution, fix, or code block.
- Moderate Chat: Concise all pleasantries, introductions, summaries, and concluding remarks.
- Inline Comments Only: Place critical context strictly inside code blocks as short comments.
- Diffs Only: Output only the modified lines of code. Never print the entire file.
3. Tool Execution Constraints
- Lazy Execution: Execute tools only when explicitly necessary for the immediate task.
- Fail Fast: If a file path is ambiguous, stop and ask the user instead of searching the codebase.
Project Snapshot
What this is: A collection of three Claude Code skills (slash commands) that let any developer create, improve, and extend AI agents across Agno, CrewAI, LangGraph, and Google ADK — for any domain, without preset templates.
What this is NOT: A framework, a library, or an agent runtime. The skills install into other projects. This repo is the source of truth for those skill files.
Primary artifacts (in priority order):
.claude/commands/*.md— The three skills. These ship to users.docs/**/*.md— Per-framework reference guides that inform the skills.installer/— The npx installer package that must stay in sync with.claude/commands/.
Design goal: A developer who runs /create-agent agno for a legal document summariser and one who runs it for a DevOps pipeline must both get a correct, production-quality scaffold — without the skill knowing about either use case in advance. The research phase does the discovery.
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.
- 4d ago First seen · 578 lines · 5,593 tokens per session scan B af36ff856cb9
recursive-agentic-improvements CLAUDE.md is an instructions file published in the GitHub repository exponen-agi/recursive-agentic-improvements (2 stars, last pushed 8d ago), licensed MIT. It adds 5,593 tokens to every session, about $0.0280 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.