Borrowing it
Nothing to install: this file belongs to AI-agents-incubator/n8n-pilot. 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/AI-agents-incubator/n8n-pilot/main/CLAUDE.mdgit clone --depth 1 https://github.com/AI-agents-incubator/n8n-pilotWrote 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/ai-agents-incubator/n8n-pilot/claude-md)<a href="https://agentmods.dev/instructions/ai-agents-incubator/n8n-pilot/claude-md"><img src="https://agentmods.dev/badge/instructions/ai-agents-incubator/n8n-pilot/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/ai-agents-incubator/n8n-pilot/claude-md"><img src="https://agentmods.dev/badge/instructions/ai-agents-incubator/n8n-pilot/claude-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.02965 | $0.02965 |
| Opus 5 | $0.01483 | $0.01483 |
| Sonnet 5 | $0.00593 | $0.00593 |
| Haiku 4.5 | $0.00297 | $0.00297 |
Grade B, and why
n8n-pilot 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 5d 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.
cat .claude/migration-context.json 2>/dev/null How it starts
The opening of the file, as written. The whole thing — 380 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — AI Agent Instructions
Framework: Claude Code Starter v4.0.2 Type: Meta-framework extending Claude Code capabilities
Architecture: Python Framework Core + Silent Mode Protocols
NEW in v4.0.0: Dual-agent architecture (Claude + Codex) with shared state contract and additive adapters.
Previous versions:
- v2.4.1-v2.5.1: Modular protocol files (5-6 min, verbose output)
- v2.6.0: Optimized protocols (15-30s, compact output)
- v2.7.0: True silent mode (bash background tasks)
Why Python utility:
- Bash = 10 separate commands = terminal spam (task notifications)
- Python = 1 command, structured JSON output, true silent execution
- Faster: 359ms vs minutes (1000x+ improvement)
- Better: parallel execution, easy debugging, cross-platform
Protocol Files:
.claude/protocols/cold-start-silent.md— Invisible session initialization.claude/protocols/completion-silent.md— Invisible sprint finalization.claude/protocols/auto-triggers.md— Automatic task completion detection
Python Utility:
src/framework-core/main.py— CLI entry pointpython3 src/framework-core/main.py cold-start— Execute all tasks- Returns JSON to stdout (AI parses, user sees nothing)
- Logs to
.claude/logs/framework-core/
Key improvements in v4.0.0:
- Zero terminal noise: JSON output instead of task notifications
- 1000x faster: 359ms vs minutes execution time
- True silent mode: User sees NOTHING unless error/confirmation needed
- Parallel execution: Python threading for all tasks
- Cross-platform: Works on Windows native (no WSL)
- Easy debugging: Proper code structure vs bash scripts
Triggers
"start", "начать": → Execute Cold Start Protocol (silent mode)
Manual Completion: "/fi", "заверши", "завершить", "finish": → Execute Completion Protocol (silent mode)
Auto-Trigger Detection (NEW in v2.7.0): Framework automatically detects task completion and triggers Completion Protocol:
Explicit keywords (instant trigger):
- "готово", "сделано", "завершил", "закончил", "done", "completed"
- Framework runs Completion automatically (or asks once, based on config)
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.
- 5d ago First seen · 380 lines · 2,965 tokens per session scan B 5abd1255a2b5
n8n-pilot CLAUDE.md is an instructions file published in the GitHub repository AI-agents-incubator/n8n-pilot (29 stars, last pushed 6mo ago), licensed MIT. It adds 2,965 tokens to every session, about $0.0148 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 2026-09-04.
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