據 AlphaMoat 統計,截至 2026-09,Ironprose 累計下載 866 次、獲 0 個星標,在全部 5,078 個 AI 技能中排名第 5,070 位,在「內容創作」分類(362 個)中排名第 359 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 20 | 866 | - | - |
| SkillHub ↗ | 123 | 832 | - | — |
各平台的計數口徑不同,統計時間不一致。
主文建議使用 JSON 輸出以便穩定解析,還提供規則檢視、介面 schema 檢查和對診斷反饋評分的命令。CLI 預設會把稿件文字傳送到配置的遠端 API;不要提交機密、未發表、受監管或客戶所有的文字,除非已確認端點的隱私和保留條款。
資料釋出於 2026-10-29
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 866 | — | - |
| 2026-08 | 786 | +8.9% | - |
| 2026-07 | 722 | +29.2% | - |
| 2026-06 | 559 | +17.4% | - |
| 2026-05 | 476 | — | - |
| 2026-03 | 304 | — | - |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。
---
name: ironprose
description: Fiction prose analysis — catch weak verbs, repetition, clichés, passive voice, and other craft issues in manuscripts
metadata:
{
"openclaw":
{
"homepage": "https://github.com/benchcutlogic/ironprose-cli",
"requires": { "bins": ["ironprose"] },
}, }
---
# IronProse CLI — Fiction Writing Assistant
IronProse analyzes fiction prose for craft-level issues that weaken storytelling:
repetition, weak verbs, passive voice, clichés, adverb overuse, show-don't-tell
violations, and 100+ other rules tuned for creative writing.
## Installation
```bash
# Install via npm (recommended)
npx ironprose --help
# Or install via cargo
cargo install ironprose-cli
```
## Common Workflows
### Analyze prose (always use JSON output)
```bash
# Full analysis — JSON is the only stable output format
ironprose analyze --file chapter-07.md --output json
# Pipe from stdin
cat draft.md | ironprose analyze --output json
# Raw JSON passthrough — zero translation loss, full API control
ironprose analyze \
--json '{"text":"The dark night was very dark."}' \
--output json
# Scores only — minimizes output tokens
ironprose analyze --file chapter-07.md --output json --score-only
```
### Schema introspection — discover before you call
```bash
ironprose schema analyze # see request/response shapes
ironprose schema rate # see rating payload schema
ironprose schema # dump full OpenAPI spec
```
### Compare drafts
```bash
# Did the rewrite improve the prose?
ironprose compare \
--original-file draft_v1.md \
--revised-file draft_v2.md \
--output json
```
### Pipe from editor / stdin
```bash
pbpaste | ironprose analyze --output json
```
### Rate diagnostics you disagree with
After analyzing text, rate any diagnostics that seem off. This directly
improves the engine's calibration.
```bash
# JSON passthrough — preferred for agents
ironprose rate \
--json '{"rule":"repetition","rating":"false_positive","diagnostic_id":"d-001","context":"Intentional repetition"}'
# Convenience flags — for humans or simple ratings
ironprose rate \
--rule repetition \
--rating false_positive \
--diagnostic-id d-001 \
--context "Intentional repetition for emphasis"
# Introspect the rate schema first
ironprose schema rate
```
**Rules for rating:**
- Always include `--diagnostic-id` when available (from the analyze response)
- Use `false_positive` when the flagged issue isn't actually present
- Use `not_helpful` when the issue exists but isn't worth flagging
- Use `helpful` to confirm good diagnostics
## CLI Reference
Agents should use `ironprose <command> --help` to introspect exact arguments and flags for a specific command instead of relying purely on this document.
### `ironprose`
```
IronProse CLI — prose analysis tools for writers
Usage: ironprose [OPTIONS] <COMMAND>
Commands:
analyze Analyze prose text for style, grammar, and craft issues
compare Compare original and revised text
list-rules List all available analysis rules
schema Dump the API schema for an endpoint (agent introspection)
rate Rate a diagnostic as helpful, not_helpful, or false_positive
help Print this message or the help of the given subcommand(s)
Options:
--api-url <API_URL> IronProse API base URL [env: IRONPROSE_API_URL=] [default: https://prose-mcp.fly.dev]
--api-key <API_KEY> API key for authenticated access (optional, free tier available) [env: IRONPROSE_API_KEY=]
-h, --help Print help
-V, --version Print version
```
## Environment Variables
| Variable | Description | Default |
| ------------------- | -------------------------------- | --------------------------- |
| `IRONPROSE_API_URL` | API base URL | `https://prose-mcp.fly.dev` |
| `IRONPROSE_API_KEY` | API key for authenticated access | free tier (5000 words) |
識別並去掉文字里的 AI 寫作痕跡,讓文字讀起來更像人寫。
把文字里 AI 寫作的典型痕跡挑出來並改寫得更自然,同時保留原意的寫作編輯技能。
識別並去除 AI 生成文字痕跡的中文文字編輯技能。
wechat-search 檢索公眾號熱門文章,並按相關性、熱度和時效整理結果。
從公開短影片分享連結提取標題、簡介和口播文案,並給出改寫版本。
humanizer 為中英文文字提供更自然的表達和風格編輯指導。
寫網文章節並按檔案落盤,聊天裡只回摘要與指標。
把一組行銷方法模組收進同一個技能,按請求路由到對應模組取清單與可交付稿。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。