agent-benchmark SKILL.md skillA
agent-benchmark from vibeeval/vibecosystem is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add vibeeval/vibecosystem/agent-benchmark@git:20260328.603ff34Pins git:20260328.603ff34 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- vibeeval/vibecosystem
- Path
skills/agent-benchmark/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260328.603ff34, committed Mar 28, 2026
- Size
- 11,547 bytes
- Repository stars
- 539
- License
- MIT
Framework for measuring and tracking agent response quality over time. Detects regressions before they reach production. Use when evaluating agent changes, auditing quality, or establishing performance baselines.
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
# Agent Benchmark Framework
Without benchmarks, we cannot know whether agent changes improve or degrade quality. This skill defines how to measure, track, and protect agent performance.
## When to Activate
- Before and after modifying any agent definition file
- When adding a new skill that an agent depends on
- Periodic quality audits (weekly/monthly)
- When a user reports degraded agent output
- Before promoting an agent from experimental to production
## Core Concepts
### Why Benchmarks Matter
Agent quality degrades silently. A prompt tweak that improves one response can break ten others. Without a baseline to compare against, every change is a guess. Benchmarks make quality visible and regressions detectable.
### Benchmark Types
| Type | Scope | Cost | Frequency |
|------|-------|------|-----------|
| Prompt Benchmark | Single agent, single task | Low | Every agent change |
| Task Benchmark | End-to-end scenario | Medium | Feature changes |
| Regression Suite | All critical agents | High | Weekly / before release |
## Directory Structure
```
~/.claude/benchmarks/
fixtures/
code-reviewer/
missing-error-handling.ts # Input: code with no try/catch
…Read the whole file at its exact version.
How to install
mdr add vibeeval/vibecosystem/agent-benchmark@sha256:9a931d9affc129aaThe line at the top of this page pins the label git:20260328.603ff34, 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_owp2rqtg5wxwoz7d)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Mar 28, 2026.
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 (11547 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
vibeeval/vibecosystem · 539 stars · license MIT · pushed 2026-11-04 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_owp2rqtg5wxwoz7d GET https://markdownregistry.com/api/v1/resolve?ref=vibeeval/vibecosystem/agent-benchmark GET https://markdownregistry.com/api/v1/blob/9a931d9affc129aa2a02136e2f4364b4e53ce2620fd314ca7796f50f7eb7ab1a
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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