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/ItMeDiaTech/rag-cliWrote 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/itmediatech/rag-cli/rag-enable)<a href="https://agentmods.dev/commands/itmediatech/rag-cli/rag-enable"><img src="https://agentmods.dev/badge/commands/itmediatech/rag-cli/rag-enable/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/itmediatech/rag-cli/rag-enable"><img src="https://agentmods.dev/badge/commands/itmediatech/rag-cli/rag-enable.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 | $0.00104 |
| Opus 5.5 | $0.00000 | $0.00042 |
| Sonnet 5.5 | $0.00000 | $0.00021 |
| Haiku 4.5 | $0.00000 | $0.00010 |
Grade A, and why
rag-enable 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.
What it actually says
Enable RAG
Update config to enable automatic RAG enhancement.
IMPORTANT: Execute task and report status only. No additional commentary.
Task
- Update
config/rag_settings.json: set"enabled": true - Report: "RAG enabled"
DO NOT:
- Explain what RAG is
- Describe benefits or features
- Provide usage examples
- Research or elaborate
ONLY:
- Update the config file
- Confirm completion with one line
- Stop
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 First seen · 21 lines · 0 tokens per session scan A a65e6f97b891
rag-enable is a command published in the GitHub repository ItMeDiaTech/rag-cli (53 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 104 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
search-semantic-report
Run semantic retrieval and save a local report artifact.
agent
Add an AI agent / RAG backend (@convex-dev/agent) to the Convex app.
evaluation-report
Generate a comprehensive evaluation report for a trained model, highlighting performance, baselines, and subgroup metrics.
inference.embed
Embed one or more texts into vectors.
proofrag
Evaluate a RAG/LLM app — generate a golden set, judge it, and produce a scorecard.
inference.rank
Rank passages against a query.