OpenClaw Agent Use Cases and Gap Analysis for PinchBench (excerpt)
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Overview
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This report analyses skill coverage in the OpenClaw Agent ecosystem and
proposes a benchmark suite called PinchBench. We crawled the public skill
repository on February 7, 2026, and analysed the results.

Skill Inventory
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- Total skills before filtering: 5,705
- Remaining skills after filtering (deduplication, language gating, quality): 2,999

Top Categories (after filtering)
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1. AI & LLMs — 287 skills (largest category)
2. Search & Research — 253 skills (second-largest)
3. Productivity & Automation — 211 skills
4. Developer Tools — 198 skills
5. Data Analysis — 174 skills
... (additional categories truncated)

Skill File Format
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Each skill is defined in a `SKILL.md` file located at the root of the
skill directory. The `SKILL.md` file contains YAML frontmatter for
metadata plus the body in Markdown. Tools, gateways, and dispatch
behaviour are configured in adjacent JSON files but the canonical entry
point is `SKILL.md`.

Gateway
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The runtime layer between Skills and the host environment is a typed
WebSocket API ("gateway"). All tool invocations and event streams flow
through this gateway with strongly-typed envelopes.

Data Collection
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The data collection date for this analysis is February 7, 2026.

Proposed Benchmark
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PinchBench is the proposed benchmark for evaluating Skill agents. The
initial release contains 6 tasks spanning categories such as
multi-step planning, code review, research, calendar management, file
operations, and ELI5 explanation.
