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 skills add danielrosehill/Claude-Open-Router-Model-Research-Plugin --skill or-research-modelsgit clone --depth 1 https://github.com/danielrosehill/Claude-Open-Router-Model-Research-PluginWrote 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/skills/danielrosehill/claude-open-router-model-research-plugin/or-research-models)<a href="https://agentmods.dev/skills/danielrosehill/claude-open-router-model-research-plugin/or-research-models"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-open-router-model-research-plugin/or-research-models/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/skills/danielrosehill/claude-open-router-model-research-plugin/or-research-models"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-open-router-model-research-plugin/or-research-models.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 | $0.00086 | $0.00745 |
| Opus 5.5 | $0.00034 | $0.00298 |
| Sonnet 5.5 | $0.00017 | $0.00149 |
| Haiku 4.5 | $0.00009 | $0.00075 |
Grade A, and why
or-research-models scanned grade A with 1 finding 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 2mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s https://openrouter.ai/api/v1/models -H "Accept: application/json" How it starts
The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Open-Ended OpenRouter Model Research
Survey-style exploration of the OpenRouter catalog for a topic, family, or use case the user is curious about — broader and looser than a recommendation flow.
When to use
The user is exploring rather than choosing. Examples:
- "What's the state of open-source vision models on OpenRouter right now?"
- "Show me what DeepSeek has on OpenRouter"
- "What new models showed up on OR this month?"
- "I'm curious about cheap reasoning models on OpenRouter"
If the user wants a concrete pick, route to or-recommend-model. If they want to compare specific models, route to or-compare-models. Use this skill only for genuinely open-ended exploration.
Workflow
Step 1: Pin down the theme
The theme might be:
- A provider / family (
openai/,anthropic/,meta-llama/,deepseek/,qwen/) - A capability (reasoning, vision, audio, tool use, long context, multilingual)
- A price tier (free, sub-$1/M, premium)
- A recency cut (recently added — sort by
createddescending)
If the theme is fuzzy, ask one clarifying question to narrow it.
Step 2: Gather the slice
Fetch the catalog and filter to the relevant slice:
curl -s https://openrouter.ai/api/v1/models -H "Accept: application/json"
Apply the filter and sort meaningfully (by created date for recency, by price for budget themes, by context for long-context themes).
Step 3: Add light external context
Where useful, briefly contextualize the slice with external knowledge — what's the family known for, what's the recent narrative, what is the trade-off space. Keep this short (a few sentences). For deep dives on individual models, route to or-evaluate-model.
Step 4: Present
Use a structure suited to exploration, not just a flat table:
# <Theme> on OpenRouter
## Snapshot
- N models match this theme as of <fetch date>
- Price range: $... – $... per 1M tokens
- Context range: ... – ...
## Notable models
### <Model A>
- Why it stands out: ...
- Catalog facts: ...
### <Model B>
- ...
## What's missing / what to watch
- Gaps you noticed in the slice
- Models recently added or removed (if known)
## Suggested next steps
- "Want to compare A and B?" → or-compare-models
- "Want a recommendation for a specific task?" → or-recommend-model
- "Want to deep-dive on one of these?" → or-evaluate-model
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.
- 2mo ago First seen · 83 lines · 86 tokens per session scan A e62aeca1cd24
or-research-models is a skill published in the GitHub repository danielrosehill/Claude-Open-Router-Model-Research-Plugin (2 stars, last pushed 6mo ago), licensed MIT. It adds 86 tokens to every session and 745 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
or-research-models compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| or-research-modelsdanielrosehill/Claude-Open-Router-Model-Research-Plugin | Skill | 2 | 6mo ago | MIT | A | 86 | Claude Code |
| agent-platform-model-registrygoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 60 | Claude Code, Codex |
| foundry-config-setupmicrosoft/agent-framework | Skill | 15k | yesterday | MIT | A | 65 | Claude Code, Codex |
| google-cloud-solution-agentic-analytics-spark-knowledge-cataloggoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 132 | Claude Code, Codex |
| training-checkwanshuiyin/Auto-claude-code-research-in-sleep | Skill | 19k | 3d ago | MIT | A | 35 | Claude Code |
| nemo-automodel-launcher-configNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 30 | Claude Code |
| finetuningmicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 132 | Claude Code |