Borrowing it
Nothing to install: this file belongs to kLOsk/adloop. 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/kLOsk/adloop/main/CLAUDE.mdgit clone --depth 1 https://github.com/kLOsk/adloopWrote 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/klosk/adloop/claude-md)<a href="https://agentmods.dev/instructions/klosk/adloop/claude-md"><img src="https://agentmods.dev/badge/instructions/klosk/adloop/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/klosk/adloop/claude-md"><img src="https://agentmods.dev/badge/instructions/klosk/adloop/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 | $0.00883 | $0.00883 |
| Opus 5.5 | $0.00353 | $0.00353 |
| Sonnet 5.5 | $0.00177 | $0.00177 |
| Haiku 4.5 | $0.00088 | $0.00088 |
Grade A, and why
adloop 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AdLoop
MCP server connecting Google Ads + Reddit Ads + GA4 into one AI-driven feedback loop inside your IDE.
Quick Reference
uv sync # Install dependencies
uv run adloop init # Interactive setup wizard
uv run adloop # Start MCP server
pytest # Run tests
python scripts/sync-rules.py # Sync rules: .cursor/rules/ -> .claude/rules/
Architecture
src/adloop/
├── __init__.py # Entry point — routes 'adloop init' vs MCP server
├── server.py # FastMCP server — all tool registrations + toolset tags
├── config.py # Config loader (~/.adloop/config.yaml)
├── auth.py # OAuth 2.0 (user-supplied credentials, headless fallback) + service accounts
├── cli.py # Interactive setup wizard (own Google Cloud project + auto-discovery)
├── crossref.py # Cross-reference tools (GA4 + Ads combined)
├── tracking.py # Tracking validation + code generation
├── ga4/ # GA4 Data + Admin API (reports, realtime, events)
├── ads/ # Google Ads API (read, write, GAQL, forecasting, PMax, recommendations)
├── reddit/ # Reddit Ads API v3 (own OAuth app, REST client, reads, PAUSED-creating writes)
└── safety/ # Guards, previews, audit logging
Orchestration Rules
All tool usage rules, safety protocols, orchestration patterns, GAQL reference, GDPR awareness, and marketing best practices live in a single canonical file:
Read and follow .claude/rules/adloop.md for all AdLoop MCP tool orchestration.
That file is the complete guide for combining AdLoop's tools. It covers:
- Tool inventory with parameters and when to use each
- 9 safety rules (budget caps, dry-run defaults, Broad Match prevention, pre-write validation)
- 16 orchestration patterns (performance review, PMax analysis, recommendations, ad creation, tracking diagnosis, etc.)
- GAQL quick reference with syntax, common queries, and gotchas
- GDPR consent awareness for EU markets
- Ad copy character limits and marketing best practices
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.
- 1mo ago Changed · +2 lines · +57 tokens per session bdc8526b8c73
- 1mo ago Changed · +1 lines · +30 tokens per session 79ae5c39bf1e
- 2mo ago First seen · 77 lines · 796 tokens per session scan A cd3fbcc90103
adloop CLAUDE.md is an instructions file published in the GitHub repository kLOsk/adloop (293 stars, last pushed 2d ago), licensed MIT. It adds 883 tokens to every session, about $0.0035 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 2026-08-30.
adloop CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| adloop CLAUDE.mdkLOsk/adloop | Instructions file | 293 | 2d ago | MIT | A | 883 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |