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 rules/airweave-ai/airweave/arfgit clone --depth 1 https://github.com/airweave-ai/airweaveWrote 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/rules/airweave-ai/airweave/arf)<a href="https://agentmods.dev/rules/airweave-ai/airweave/arf"><img src="https://agentmods.dev/badge/rules/airweave-ai/airweave/arf.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 | $0.00000 | $0.00388 |
| Opus 5 | $0.00000 | $0.00194 |
| Sonnet 5 | $0.00000 | $0.00078 |
| Haiku 4.5 | $0.00000 | $0.00039 |
Grade A, and why
arf 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 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.
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.
What it actually says
Airweave Raw Format (ARF)
Raw entity capture for replay, debugging, and evals.
Structure
raw/{sync_id}/
├── manifest.json # Sync metadata
├── entities/{id}.json # One file per entity
└── files/{id}_{name} # Binary files (optional)
Key Files
- StoragePaths:
domains/storage/paths.py(path constants:arf_sync_path,arf_entity_path,safe_filename) - ArfService:
domains/arf/service.py(write operations during sync, implementsArfServiceProtocol) - ArfReader:
domains/arf/reader.py(entity reconstruction for replay, implementsArfReaderProtocol) - ArfReplaySource:
domains/arf/replay_source.py(internal source for ARF replay) - Protocols:
domains/arf/protocols.py(ArfServiceProtocol,ArfReaderProtocol) - Fakes:
domains/arf/fakes/(in-memory test doubles:FakeArfService,FakeArfReader) - StorageBackend protocol:
domains/storage/protocols.py(injected into ArfService/ArfReader) - Storage adapters (FYI):
adapters/storage/(Filesystem, Azure Blob, AWS S3, GCP GCS) - Config:
STORAGE_BACKEND(filesystem, azure, aws, gcp)
Usage
ArfService is injected into ArfHandler via EntityDispatcherBuilder. Capture happens during action dispatch (INSERT/UPDATE entities stored, DELETE entities removed). The ArfHandler lives in platform/sync/handlers/arf.py.
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 · 32 lines · 0 tokens per session scan A b450f1e5bd96
arf is a cursor rule published in the GitHub repository airweave-ai/airweave (6,565 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 388 tokens. 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.
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