infrastructure-prose SKILL.md skillA

infrastructure-prose from docxology/template is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add docxology/template/infrastructure-prose@git:20261105.00a79ff

Pins git:20261105.00a79ff in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
docxology/template
Path
infrastructure/prose/SKILL.md
Versions recorded
2
Latest version
git:20261105.00a79ff, committed Nov 5, 2026
First version recorded
May 3, 2026
Size
3,777 bytes
Repository stars
23
License
Apache-2.0

Prose analysis utilities for research manuscripts and prose-focused projects. Provides readability metrics (Flesch, Flesch-Kincaid, Gunning Fog), heading-outline structural analysis, editorial quality flags (passive voice, hedge words, citation density, long sentences), aggregate ManuscriptReport across a manuscript directory, and a CLI (metrics/outline/quality/report). Use when analyzing manuscripts for readability, building editorial dashboards, validating heading structure, extracting…

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

# Prose Module

Editorial-grade prose analysis: readability, structure, quality flags,
and manuscript-wide aggregation.

```mermaid
flowchart LR
    MD[Markdown manuscript] --> NORM[normalise_for_prose<br/>strip front-matter · fences ·<br/>inline code · links]
    NORM --> METRICS[ProseMetrics<br/>Flesch · FKGL · Gunning Fog]
    NORM --> QUALITY[QualityReport<br/>passive · hedges · citations ·<br/>long sentences]
    MD --> STRUCT[StructureReport<br/>headings · sections · word counts]
    METRICS --> AGG[ManuscriptReport]
    QUALITY --> AGG
    STRUCT --> AGG

    classDef io fill:#0f766e,stroke:#0f172a,color:#fff
    classDef proc fill:#1e3a8a,stroke:#0f172a,color:#fff
    classDef out fill:#7c2d12,stroke:#0f172a,color:#fff
    class MD io
    class NORM,METRICS,QUALITY,STRUCT proc
    class AGG out
```

## Readability metrics

```python
from infrastructure.prose import compute_metrics, normalise_for_prose

text = "The cat sat on the mat. Dogs run fast."
metrics = compute_metrics(normalise_for_prose(text))
print(metrics.flesch_reading_ease)  # 100+ — very easy
print(metrics.flesch_kincaid_grade)  # ~1
print(metrics.gunning_fog)  # ~1.6
```

## Heading structure

```python
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add docxology/template/infrastructure-prose@sha256:65f395377ac8e5c5

The line at the top of this page pins the label git:20261105.00a79ff, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_sxlclhetxetvmmm7.svg)](https://markdownregistry.com/a/art_sxlclhetxetvmmm7)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between May 3, 2026 and Nov 5, 2026, about one every 186 days.

versioncommittedcommitsizeaudit
git:20261105.00a79ff latest2026-11-05 00a79ff 3,777 BA view · diff
git:20260503.72c18382026-05-03 72c1838 3,805 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3777 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

GitHub

docxology/template · 23 stars · license Apache-2.0 · pushed 2026-11-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_sxlclhetxetvmmm7
GET https://markdownregistry.com/api/v1/resolve?ref=docxology/template/infrastructure-prose
GET https://markdownregistry.com/api/v1/blob/65f395377ac8e5c547e97aa1de871cda1afcf699e21d8182f26283746382a724

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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