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-compare-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-compare-models)<a href="https://agentmods.dev/skills/danielrosehill/claude-open-router-model-research-plugin/or-compare-models"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-open-router-model-research-plugin/or-compare-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-compare-models"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-open-router-model-research-plugin/or-compare-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 | $0.00078 | $0.00663 |
| Opus 5 | $0.00039 | $0.00331 |
| Sonnet 5 | $0.00016 | $0.00133 |
| Haiku 4.5 | $0.00008 | $0.00066 |
Grade A, and why
or-compare-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 10d 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Head-to-Head OpenRouter Model Comparison
Build a structured side-by-side comparison of two or more OpenRouter models so the user can choose between them.
When to use
The user has named 2+ specific OpenRouter models (or asked to compare picks from a previous recommendation) and wants a structured comparison.
Workflow
Step 1: Identify the models
If the user named the models, take their IDs as-is. If they referenced them indirectly ("compare the two cheapest tool-calling models"), first run the relevant filter (via or-find-tool-models) and pick the targets.
If a model ID is ambiguous or not found in the catalog, ask for clarification before proceeding.
Step 2: Fetch catalog data
curl -s https://openrouter.ai/api/v1/models -H "Accept: application/json"
Extract each target model's record.
Step 3: Build the comparison table
Render a markdown table with one column per model and one row per dimension. Recommended rows:
| Dimension | Model A | Model B |
|---|---|---|
| Provider | ||
| Context length | ||
| Max output tokens | ||
| Input modalities | ||
| Output modalities | ||
| Prompt $/1M tokens | ||
| Completion $/1M tokens | ||
| Image $/each (if vision) | ||
| Tool use support | yes/no | yes/no |
| Structured outputs | yes/no | yes/no |
| Tokenizer | ||
| Created (date) | ||
| Top provider context | ||
| Per-request limits |
Step 4: Add a written summary
Below the table, write a 3–5 sentence summary highlighting:
- Where the models meaningfully differ (price ratio, context ratio, capability gaps)
- What each is better suited for, based on the differences
- A clear "if X matters most, pick A; if Y matters most, pick B" verdict
Step 5: Offer to deepen the analysis
End with: "Want me to research either of these models beyond the OR catalog (model card, benchmarks, license)?" — route to or-evaluate-model if yes.
Notes
- Don't bring in benchmark scores or qualitative judgments from memory. Stick to catalog facts in the table. Save subjective comparisons for the summary, and clearly mark them as your interpretation.
- If comparing more than 3 models, the table gets unwieldy — suggest grouping into pairs or running a recommendation flow instead.
- If two models are nearly identical (same family, e.g.
gpt-4ovsgpt-4o-2024-08-06), say so explicitly and explain what differs (typically date / pricing tier).
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.
- 10d ago First seen · 68 lines · 78 tokens per session scan A 61d7312cac40
or-compare-models is a skill published in the GitHub repository danielrosehill/Claude-Open-Router-Model-Research-Plugin (2 stars, last pushed 4mo ago), licensed MIT. It adds 78 tokens to every session and 663 once invoked, about $0.0004 per session on Opus 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.
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