# ASD-STE100 Simplified Technical English for LLMs

> Source: <https://github.com/woosal1337/blog/tree/main/videos/ep01-the-cure-for-ai-slop>
> Published: 2026-07-27 06:52:01+00:00

Everything the episode promises "in the description": the distilled STE skill, the linter, and the full first-party test data. Self-contained - no external dependencies beyond Python 3.

| File | What it is |
|---|---|
`ste-writing-skill.md` |
The distilled ASD-STE100 agent skill, two modes: strict (procedures, error messages) and flavored (prose, no dictionary lockdown) |
`ste-lint.py` |
The heuristic anti-slop linter - the machine-checkable subset of STE. Deterministic; the score delta between two texts is the signal |
`experiment-results.md` |
The cross-model test: 6 writing tasks x 4 conditions on Claude and gpt-5.5 |
`experiment-results-openai.md` |
Per-category detail for the gpt-5.5 run |
`before-after-samples.md` |
The real baseline-vs-STE outputs quoted in the episode |
`run-openai.py` |
Reproduction script for the OpenAI side of the experiment |

```
python3 ste-lint.py your-draft.md
```

Score is violations per 100 words - lower is cleaner. Lint a draft, apply the skill, then lint it again - the delta between the two scores is the signal.

| Condition | Claude sonnet | gpt-5.5 |
|---|---|---|
| baseline | 4.36 | 3.54 |
| banned-words list | 4.21 (-3%) | 2.14 (-40%) |
| Orwell's 6 rules | 2.48 (-43%) | 1.69 (-52%) |
| STE skill | 1.12 (-74%) | 1.76 (-50%) |

Give the model a writing system and slop drops by half or more, on every model tested. STE was best or tied-best. A banned-words list is the least reliable fix.

Not a certified STE checker. The judgment rules of ASD-STE100 need a human; this covers the mechanical subset - which is where the slop lives.

Spec: ASD-STE100 Issue 9, free at asd-ste100.org