# Knowledge Acquisition Benchmark Inventory

> Identify and catalog all relevant benchmarks in target domain

- Skill: `yogsoth-ai/knowledge-acquisition-benchmark-inventory` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/knowledge-acquisition-benchmark-inventory`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/knowledge-acquisition-benchmark-inventory/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: yogsoth-ai (https://skillmd.com/u/yogsoth-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/yogsoth-ai/knowledge-acquisition-benchmark-inventory

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# Benchmark Inventory SOP

Identify, catalog, and characterize all relevant benchmarks for a given research domain and capability focus area.

## Input

- **research_domain**: The broad research area (e.g., "natural language understanding", "code generation", "multimodal reasoning")
- **capability_focus**: Specific capability of interest (e.g., "commonsense reasoning", "mathematical problem solving")

## Procedure

1. Search Papers With Code for benchmarks tagged with the domain
2. Search Semantic Scholar for benchmark papers in the domain
3. Search web for leaderboards and evaluation suites
4. For each benchmark found, collect: name, year, paper, size, primary metric, current SOTA, status
5. Classify by: capability tested, modality, difficulty level, maintenance status

## Output

Structured catalog of benchmarks with metadata sufficient for downstream analysis selection.

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## Available SOPs

Optional, no fixed order; the final leaf is always a sop.

| SOP | When to use |
| --- | --- |
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent. |

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