ai-agent-evaluation-benchmarking SKILL.md skillA
ai-agent-evaluation-benchmarking from sickn33/agentic-awesome-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add sickn33/agentic-awesome-skills/ai-agent-evaluation-benchmarking@git:20261002.f0a73e6Pins git:20261002.f0a73e6 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- sickn33/agentic-awesome-skills
- Path
plugins/agentic-awesome-skills-claude/skills/ai-agent-evaluation-benchmarking/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261002.f0a73e6, committed Oct 2, 2026
- Size
- 5,387 bytes
- Repository stars
- 48,329
- License
- MIT
Autonomous AI agent benchmark evaluation register: task completion rates, planning accuracy, tool invocation precision, and cost benchmarks.
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
# AI Agent Capability Evaluation & Benchmarking **What it is:** Standardizes multi-metric capability benchmarking, token cost efficiency, and regression monitoring across autonomous coding agents. ## Overview Provides a standardized, auditable framework and data model for **AI Agent Capability Evaluation & Benchmarking** operations across distributed engineering and decentralized application systems. ## When to Use This Skill - When formalizing architectural contracts, security invariants, or operational limits for AI Agent Capability Evaluation & Benchmarking. - When cross-functional review is required between protocol developers, smart contract auditors, and AI engineering agents. - When generating reproducible CSV, SQL DDL, JSON Schema, and Notion property registers for tracking compliance. ## How It Works 1. Define the parameters, thresholds, and identity bindings required for the target operational register. 2. Select appropriate boundary enforcement values from validated enum select sets. 3. Export standardized artifacts (CSV table, SQL DDL, JSON Schema) to integrate into validation CI pipelines. ## Field Reference …
Read the whole file at its exact version.
How to install
mdr add sickn33/agentic-awesome-skills/ai-agent-evaluation-benchmarking@sha256:39f227373167d307The line at the top of this page pins the label git:20261002.f0a73e6, 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_nbx6ag4kndg4zqoc)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 2, 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 (5387 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
sickn33/agentic-awesome-skills · 48,329 stars · license MIT · pushed 2026-10-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_nbx6ag4kndg4zqoc GET https://markdownregistry.com/api/v1/resolve?ref=sickn33/agentic-awesome-skills/ai-agent-evaluation-benchmarking GET https://markdownregistry.com/api/v1/blob/39f227373167d307c8bf257914de40f06f03c416f3eb6e8e47045b6d546b58bb
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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