# Infrastructure Benchmark

> Deterministic benchmark harnesses for public template exemplars. Use when scoring generated project outputs against benchmark manifests, refreshing the default template smoke manifest, checking publication-readiness rubrics, or adding bounded no-network readiness checks for public template outputs.

- **Type:** Skill
- **Install:** `agentstack add skill-docxology-template-benchmark`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [docxology](https://agentstack.voostack.com/s/docxology)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** Apache-2.0
- **Upstream author:** [docxology](https://github.com/docxology)
- **Source:** https://github.com/docxology/template/tree/main/infrastructure/benchmark
- **Website:** https://doi.org/10.5281/zenodo.19139090

## Install

```sh
agentstack add skill-docxology-template-benchmark
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Benchmark Infrastructure

Use `infrastructure.benchmark` for small, deterministic readiness benchmarks over public template exemplar outputs. The module reads real files, applies explicit manifest checks and optional weighted rubrics, and emits JSON or Markdown score reports.

## Common Workflows

```bash
uv run python -m infrastructure.benchmark.template_harness --repo-root .
uv run python -m infrastructure.benchmark.template_harness \
  --repo-root . \
  --output-json /tmp/template_benchmark.json \
  --output-markdown /tmp/template_benchmark.md
uv run python -m infrastructure.benchmark.template_harness \
  --repo-root . \
  --write-default-manifest
```

## Routing Rules

- Keep benchmark manifests scoped to public template exemplars and generated output contracts.
- Use real output files, manuscript sources, evidence registries, and artifact manifests.
- Do not add network calls, LLM calls, mocks, or private-project paths.
- Keep scoring dimensions explicit in the manifest so failed checks remain inspectable.

## Public Imports

- `BenchmarkManifest`
- `BenchmarkScore`
- `RubricScore`
- `RubricSet`
- `load_benchmark_manifest`
- `run_benchmark_manifest`
- `score_project_against_manifest`
- `score_rubric`
- `scores_to_dict`
- `scores_to_markdown`
- `write_default_manifest`

Pair this skill with [`README.md`](README.md) and [`AGENTS.md`](AGENTS.md) for module rules and validation commands.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [docxology](https://github.com/docxology)
- **Source:** [docxology/template](https://github.com/docxology/template)
- **License:** Apache-2.0
- **Homepage:** https://doi.org/10.5281/zenodo.19139090

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-docxology-template-benchmark
- Seller: https://agentstack.voostack.com/s/docxology
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.