Borrowing it
Nothing to install: this file belongs to gigshow/decker-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/gigshow/decker-ai/main/CLAUDE.mdgit clone --depth 1 https://github.com/gigshow/decker-aiWrote 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/gigshow/decker-ai/claude-md)<a href="https://agentmods.dev/instructions/gigshow/decker-ai/claude-md"><img src="https://agentmods.dev/badge/instructions/gigshow/decker-ai/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 5.1 | $0.00325 | $0.00325 |
| Opus 5 | $0.00162 | $0.00162 |
| Sonnet 5 | $0.00065 | $0.00065 |
| Haiku 4.5 | $0.00032 | $0.00032 |
Grade A, and why
decker-ai CLAUDE.md scanned grade A 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 6d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Examples: `examples/python`, `examples/curl` What it actually says
Decker — Agent session notes (this repo)
What this repo is
This repo is the public hub: docs, samples, operation_rules, OpenClaw skill packages. Production application code runs in a private monorepo.
Start here
- docs/roadmap.md — roadmap
- docs/DECKER_AGENT_SKILLS.md — agent skills (domain vs workflow)
- docs/TELEGRAM_AGENT_COMMANDS.md — Telegram bot
/commands - docs/AGENT_SKILLS_PUBLIC_SUMMARY.md — short index for ClawHub / releases
- docs/ONBOARDING_PUBLIC.md — visitor onboarding (personas)
Skills (summary)
| Skill | Use |
|---|---|
decker-signal |
Signals, Signal LLM, rulebook, tier |
decker-execution-mode |
execution_mode, ExecutionRouter, paper vs live |
Full table and workflow slash commands: docs/DECKER_AGENT_SKILLS.md.
Conventions
- Examples:
examples/python,examples/curl - Rulebook:
operation_rules/RULES.yaml - OpenClaw:
docs/openclaw_skills/
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.
- 6d ago First seen · 29 lines · 325 tokens per session scan A 48008a676dfd
decker-ai CLAUDE.md is an instructions file published in the GitHub repository gigshow/decker-ai (3 stars, last pushed yesterday), licensed MIT. It adds 325 tokens to every session, about $0.0016 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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 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).
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.
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.