A local detector for AI-writing patterns. It scores the first 262,144 characters of extracted
prose in files saved through supported file-edit tools, and asks for the flagged
spans to be fixed. Plain text is accepted up to 512 KB, supported archives up to 4 MB.
Python standard library only, no network, no model. Prose only, never code.
[!IMPORTANT]
This is a command-line tool and an agent plugin. There is no website and no hosted version.
Nothing you write is uploaded, there is no account, and no text ever leaves your machine.
Any site offering a service under this name is unrelated to this project.
A recorded session, not a mock-up. record/session_capture.py fires the real hooks with the payloads Claude Code sends and writes record/session.json; record/anim.py draws it. The hook lines, the scores and the milliseconds come from that capture; the grey labels beside them are narration. The prose being scored is record/draft.md, a short piece written for the recording.
Install
Paste into Claude Code, Codex, Cursor, or any coding agent:
Install the sloptrim plugin from https://github.com/seyedehsanhadi/sloptrim
Restart, then run /sloptrim doctor. It answers with four [OK] lines.
Explicit commands, and installing without the marketplace
Do not skip the mkdir. On a fresh machine ~/.claude/commands does not exist yet
and the copy fails with "No such file or directory". In PowerShell the last two lines
are New-Item -ItemType Directory -Force $HOME/.claude/commands and Copy-Item.
The copy puts /sloptrim in the / menu, because Claude Code does not scan a skill
folder's own commands/. A marketplace install needs no such step. Either way the
router also answers to /sloptrim:sloptrim.
What it does
The score is 0-100 against 71 documented patterns. 62 of them have a detector; the
other 9 need a reading and are worked during the rewrite. Of the 62, 50 can move the
score and 12 are reported as writing advice and count for nothing: most of them because
measurement showed they mark formal register rather than machine authorship, the rest
because they are typographic habits.
Formats
20, including .docx, .pptx, .xlsx, OpenDocument, .epub, .ipynb, LaTeX; the first 262,144 characters of extracted prose is scored
Runs in
Claude Code, on save. Other agents via /sloptrim init, which writes the contract to AGENTS.md, and .cursor/rules/
Needs
Node for the hooks, Python 3.9 or newer for the detector, nothing else
Suite
142 Python tests and 72 hook checks, with CI configured for Linux, Windows and macOS, against Python 3.9 and 3.13 (macOS on 3.13)
Does not see
A file written by a Bash command, which reaches disk without passing Write or Edit
Command
Effect
/sloptrim full
Contract + guard (default)
/sloptrim strict
Flags at 20 instead of 40, and asks for a character scrub
/sloptrim lite / off
Contract only / nothing
/sloptrim check <file>
Score a file, name the tells, no rewrite
/sloptrim init
Write the contract to ./AGENTS.md and a Cursor rule to ./.cursor/rules/
A score lands in one of five bands: clean, light tells, mixed, heavy tells,
pervasive tells. The guard nudges above 40, or above 20 in strict mode.
Measured
Sloptrim's public matched benchmark uses five separate 30-human/30-machine arms
from the Human Detectors
release, pinned at commit afcf03d. Each arm is matched by prompt and scored
separately. AUC is a ranking measure, not accuracy at Sloptrim's guard threshold.
machine arm
ROC-AUC
bootstrap 95% CI
default TPR / FPR
GPT-4o
0.946
0.876–0.992
46.7% / 0%
Claude 3.5 Sonnet
0.842
0.729–0.936
3.3% / 0%
o1-pro
0.877
0.771–0.957
23.3% / 6.7%
paraphrased GPT-4o
0.838
0.735–0.929
6.7% / 3.3%
humanized o1-pro
0.762
0.648–0.871
0% / 3.3%
Across these arms, Sloptrim achieved ROC-AUC 0.762–0.946. Confidence intervals
use 10,000 paired prompt-cluster bootstrap resamples. The public
result record pins the source hash;
the harness refuses any other file. The benchmark texts are not redistributed here.
It cannot prove whether a model wrote something. The public arms show that the
score often ranks these machine samples above matched human samples. The threshold
results show why that is not the same as a dependable yes/no classifier: sensitivity
changes sharply with model, prompt, formatting and threshold.
It is not an authorship classifier and must not be used as one. A score says
something about writing, never about a person. Read ETHICS.md.
Sloptrim 是一个本地的 AI 写作模式检测器：它对照有文档记录的风格特征，给你的编程智能体保存的文本文件打分，只使用 Python 标准库，没有网络调用，也没有机器学习模型。