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 agents/cloudrift-ai/emmy/discover-redditgit clone --depth 1 https://github.com/cloudrift-ai/emmyWrote 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/agents/cloudrift-ai/emmy/discover-reddit)<a href="https://agentmods.dev/agents/cloudrift-ai/emmy/discover-reddit"><img src="https://agentmods.dev/badge/agents/cloudrift-ai/emmy/discover-reddit.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 5.1 | $0.00012 | $0.00188 |
| Opus 5 | $0.00006 | $0.00094 |
| Sonnet 5 | $0.00002 | $0.00038 |
| Haiku 4.5 | $0.00001 | $0.00019 |
Grade A, and why
discover-reddit 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.
What it actually says
Investigate recent, high-engagement Reddit threads about newly released or newly important open-weight models, especially in r/LocalLLaMA. Use at most three public-web calls. Reddit is an independent candidate source, so do not start from a list supplied by Hugging Face or OpenRouter. Return at most twelve candidates as compact JSON with the model name used by the community, thread URL, post date when available, visible engagement, and one short reason the discussion signals current demand. Do not invent an exact Hugging Face ID; label identity as uncertain when Reddit does not establish it. Do not modify files or invoke another agent.
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 First seen · 19 lines · 12 tokens per session scan A 09860bbf9be2
discover-reddit is an agent published in the GitHub repository cloudrift-ai/emmy (80 stars, last pushed yesterday), licensed Apache-2.0. It adds 12 tokens to every session and 188 once invoked, about $0.0001 per session on Opus 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.
Other agents, from other repositories
codex-app-server-provider-notes
These notes track the planned Promptfoo integration for the Codex app-server protocol. They are intentionally implementation-facing: keep them current as the provider, docs, examples, and verification expand.
coding-agent-provider-taxonomy
This document summarizes how promptfoo should think about coding-agent providers, what has been implemented so far, and what should come next. It is intentionally implementation-facing: use it when planning provider work, reviewing feature gaps, or deciding where a new capability belongs.
agent-hints
Agent hints are optional per-request metadata that a harness sends under nvext.agenthints. Dynamo parses these hints in the frontend and passes them to the router and, where supported, backend runtimes.
matrix
This page renders the Tier-1 agent × model-family integration matrix truthfully from the authoritative test suite in tests/integrations/ — the matrix cells (testagentsmatrix.py), the family aliases and strict-xfail rules (conftest.py), and the pilot run recorded in tests/integrations/README.md.
qwen-code
Point Qwen Code at a local rapid-mlx server. Qwen Code is Alibaba's gemini-cli fork tuned for Qwen tool-calling; it speaks the OpenAI-compatible chat completions API (POST /v1/chat/completions) via an OpenAI entry in modelProviders that maps 1:1 onto rapid-mlx's default endpoint.
hermes-agent
Point Nous Research's Hermes Agent at a local rapid-mlx server. Hermes is a tool-heavy CLI agent (it injects up to 62 tools per request) that speaks the OpenAI-compatible chat completions API (POST /v1/chat/completions).