benchmark-models SKILL.md skillA
benchmark-models from rjmurillo/ai-agents is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add rjmurillo/ai-agents/benchmark-models@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- rjmurillo/ai-agents
- Path
.claude/skills/benchmark-models/SKILL.md- Versions recorded
- 5
- Latest version
- v1.0.0, committed Sep 29, 2026
- First version recorded
- Jun 30, 2026
- Size
- 9,163 bytes
- Repository stars
- 48
- License
- MIT
Cross-model benchmark. Runs one prompt or skill through Claude, GPT (Codex CLI), and Gemini side by side and compares latency, tokens, cost, tool calls, and optionally output quality via an Anthropic-API judge. Answers "which model is actually best for this skill?" with data. Use when you say "benchmark models", "compare models", "which model is best for X", "cross-model comparison", or "model shootout". Do NOT use to measure web page performance.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# benchmark-models Run the same prompt across providers and compare them on data, not vibes. The deterministic work lives in `scripts/model_benchmark.py` (stdlib-only, ported from gstack's bun benchmark; no SDKs, no gstack runtime). This skill is the interactive wrapper: pick a prompt, preview auth with a dry-run, confirm providers, run, interpret, optionally save. Providers wrap existing CLIs and their own auth (no API keys needed except the optional judge): - `claude` via `claude -p --output-format json` - `gpt` via `codex exec ... -s read-only --json` - `gemini` via `gemini -p ... --output-format stream-json` ## Triggers Invoke this skill when the user says any of: - `benchmark models` - `compare models` - `model shootout` - `which model is best` - `cross-model comparison` Do NOT invoke for web page performance (that is a different concern). ## Preconditions - At least one provider CLI installed and authenticated. The Step 1 dry-run reports exactly which are ready; if none are, the skill stops. - The optional quality judge needs `ANTHROPIC_API_KEY` (adds ~$0.05/run). ## Process …
Read the whole file at its exact version.
How to install
mdr add rjmurillo/ai-agents/benchmark-models@sha256:d4db0f6592aba3c3The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_4y6xbrd5r752tmel)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jun 30, 2026 and Sep 29, 2026, about one every 23 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-09-29 | 42b4d1e | 9,163 B | A | view · diff |
| v1.0.0 | 2026-09-25 | 3fda96c | 9,143 B | A | view · diff |
| v1.0.0 | 2026-09-15 | 696280a | 8,935 B | A | view · diff |
| v1.0.0 | 2026-07-22 | e7a63be | 7,979 B | A | view · diff |
| v1.0.0 | 2026-06-30 | 6c3634d | 8,002 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (9163 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
rjmurillo/ai-agents · 48 stars · license MIT · pushed 2026-10-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_4y6xbrd5r752tmel GET https://markdownregistry.com/api/v1/resolve?ref=rjmurillo/ai-agents/benchmark-models GET https://markdownregistry.com/api/v1/blob/d4db0f6592aba3c3bd5f1f630d539be5560ffdf3c13e635a13ddaeb5bcb667a5
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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