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.
git clone --depth 1 https://github.com/rfxn/rdfWrote 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/commands/rfxn/rdf/r-save)<a href="https://agentmods.dev/commands/rfxn/rdf/r-save"><img src="https://agentmods.dev/badge/commands/rfxn/rdf/r-save/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/commands/rfxn/rdf/r-save"><img src="https://agentmods.dev/badge/commands/rfxn/rdf/r-save.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 | $0.00000 | $0.04093 |
| Opus 5 | $0.00000 | $0.02047 |
| Sonnet 5 | $0.00000 | $0.00819 |
| Haiku 4.5 | $0.00000 | $0.00409 |
Grade A, and why
r-save 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 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.
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.
The source is not reproduced here
Licensed GPL-2.0
The repository is licensed GPL-2.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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 Changed · -5 lines · -21 tokens per session 71307d4487e4
- 9d ago First seen · 417 lines · 21 tokens per session scan A 06742fadf6b1
r-save is a command published in the GitHub repository rfxn/rdf (19 stars, last pushed 6d ago), licensed GPL-2.0. It costs nothing until one of its globs matches a file; then it loads 4,093 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.
Other commands, from other repositories
blackboard
Read or write a Network-AI blackboard key (shared multi-agent state).
context
Manage workflow context (handoffs, todos, session status).
new
A command that registers a new project in a shared memory file, assigning it the next free number and optionally recording its description and folder.
tails
A command that reconstructs the unfinished work in the current chat session and lists possible next actions.
go
A session-start command for projects whose status and task lists are kept in remote memory files. It loads the relevant project context and shows active tasks, or lists available projects when no project number is given.
save
A command for saving project and session information according to the instructions in a MEMORY.md file. It gathers current status, logs, known issues, and backlog details before updating the stored memory.