model-evaluation-benchmark SKILL.md skillA
model-evaluation-benchmark from rysweet/amplihack-rs is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add rysweet/amplihack-rs/model-evaluation-benchmark@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
- rysweet/amplihack-rs
- Path
amplifier-bundle/skills/model-evaluation-benchmark/SKILL.md- Versions recorded
- 3
- Latest version
- v1.0.0, committed Oct 4, 2026
- First version recorded
- Apr 5, 2026
- Size
- 3,562 bytes
- Repository stars
- 11
- License
- none declared
Automated reproduction of comprehensive model evaluation benchmarks following the Benchmark Suite V3. Auto-activates for model benchmarking, comparison evaluation, or performance testing between AI models.
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
# Model Evaluation Benchmark Skill **Purpose**: Automated reproduction of comprehensive model evaluation benchmarks following the Benchmark Suite V3 reference implementation. **Auto-activates when**: User requests model benchmarking, comparison evaluation, or performance testing between AI models in agentic workflows. ## Skill Description This skill orchestrates end-to-end model evaluation benchmarks that measure: - **Efficiency**: Duration, turns, cost, tool calls - **Quality**: Code quality scores via reviewer agents - **Workflow Adherence**: Subagent calls, skills used, workflow step compliance - **Artifacts**: GitHub issues, PRs, documentation generated The skill automates the entire benchmark workflow from execution through cleanup, following the v3 reference implementation. ## When to Use ✅ **Use when**: - Comparing user-selected AI models - Measuring workflow adherence - Generating comprehensive benchmark reports - Need reproducible benchmarking ❌ **Don't use when**: - Simple code reviews (use `reviewer`) - Performance profiling (use `optimizer`) - Architecture decisions (use `architect`) ## Execution Instructions When this skill is invoked, follow these steps: …
Read the whole file at its exact version.
How to install
mdr add rysweet/amplihack-rs/model-evaluation-benchmark@sha256:8e4f12c25785a407The 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_dq6eyif4fgbg6c4q)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Apr 5, 2026 and Oct 4, 2026, about one every 91 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-10-04 | 8a9647a | 3,562 B | A | view · diff |
| v1.0.0 | 2026-05-04 | b7ad1ff | 3,503 B | A | view · diff |
| v1.0.0 | 2026-04-05 | b840a93 | 3,455 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 (3562 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
rysweet/amplihack-rs · 11 stars · license none declared · pushed 2026-10-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_dq6eyif4fgbg6c4q GET https://markdownregistry.com/api/v1/resolve?ref=rysweet/amplihack-rs/model-evaluation-benchmark GET https://markdownregistry.com/api/v1/blob/8e4f12c25785a4076528be667a7868c2737ccbf720dd7025f9a1c46570773afd
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.
More from rysweet/amplihack-rs
Every file in rysweet/amplihack-rs