Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add PracticalSwan/agent-skills --skill avoid-ai-writinggit clone --depth 1 https://github.com/PracticalSwan/agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/practicalswan/agent-skills/avoid-ai-writing)<a href="https://agentmods.dev/skills/practicalswan/agent-skills/avoid-ai-writing"><img src="https://agentmods.dev/badge/skills/practicalswan/agent-skills/avoid-ai-writing/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/practicalswan/agent-skills/avoid-ai-writing"><img src="https://agentmods.dev/badge/skills/practicalswan/agent-skills/avoid-ai-writing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00042 | $0.07283 |
| Opus 5.5 | $0.00017 | $0.02913 |
| Sonnet 5.5 | $0.00008 | $0.01457 |
| Haiku 4.5 | $0.00004 | $0.00728 |
Grade A, and why
avoid-ai-writing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
91% identical to avoid-ai-writing — 68 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 362 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Avoid AI Writing — Audit & Rewrite
You are editing content to remove AI writing patterns ("AI-isms") that make text sound machine-generated.
What this skill is and isn't
These rules and the project's detector are calibrated for English; applying them to another language requires language-specific rules and evidence.
This is a writing-quality tool, not a verdict. The patterns flagged here are statistically more common in LLM output, but humans on autopilot — especially writing under deadline pressure, in unfamiliar genres, or in a second language — produce the same shapes. Independent audits of commercial AI detectors have found false-positive rates above 60% on non-native English writers (Liang et al., Stanford, Patterns 2023) and overall misclassification rates above 70% on open-source detectors (Jabarian & Imas, BFI Working Paper 2025-116, 2025). Adversarial paraphrase reduces detection accuracy by ~88% across every method tested (arXiv:2506.07001, 2025).
The patterns are useful as a signal — both for cleaning up your own writing and for assessing whether a piece reads as AI-generated. Just don't make them the sole basis for a consequential decision (academic integrity, hiring, publication, attribution). Several rules here also fire on second-language writing, deadline-pressed humans, and technical genres that compress vocabulary by design. Pair the signal with context: who wrote it, what genre, what the writer's normal voice looks like, what other evidence you have.
In short: signals, not proof. Worth acting on; not worth ruining someone's day over.
Before auditing or rewriting any text, read references/patterns.md in full. It contains the word tiers, pattern catalog, and context/voice profiles. These rules and their exceptions are required for quick passes as well as full audits. Resolve bundled command and example paths from this skill directory.
Editing contract
What ships with it
60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- .pre-commit-hooks.yaml 330 B
- bin/avoid-ai-writing-gate.js 5.2 KB runs code
- bin/avoid-ai-writing-gate.test.js 4.7 KB runs code
- bin/avoid-ai-writing.js 4.1 KB runs code
- bin/avoid-ai-writing.test.js 3.9 KB runs code
- CHANGELOG.md 8.1 KB
- CONTRIBUTING.md 4.4 KB
- corpus/manifest.json 33 KB
- corpus/README.md 20 KB
- cursor-rules/avoid-ai-writing.mdc 114 KB
- cursor-rules/README.md 1.8 KB
- detector/CATEGORIES.md 13 KB
- detector/categories.test.js 5.0 KB runs code
- detector/patterns.js 140 KB runs code
- detector/patterns.test.js 156 KB runs code
- detector/README.md 9.5 KB
- detector/validate.js 16 KB runs code
- detector/validate.test.js 14 KB runs code
- dist/avoid-ai-writing.md 114 KB
- docs/demo.gif 132 KB
- docs/social-preview.png 27 KB
- examples/prose.json 379 B
- examples/README.md 6.3 KB
- examples/technical.json 541 B
- LICENSE 1.0 KB
- LICENSE.txt 1.0 KB
- package.json 1.3 KB
- PROOF.md 7.2 KB
- README.md 36 KB
- references/patterns.md 117 KB
- scripts/check-pattern-count.sh 5.8 KB runs code
- scripts/check-style.js 9.4 KB runs code
- scripts/check-style.test.js 17 KB runs code
- scripts/corpus.js 18 KB runs code
- scripts/corpus.test.js 18 KB runs code
- scripts/csv-lite.js 2.3 KB runs code
- scripts/dataset-hc3.js 5.3 KB runs code
- scripts/dataset-raid.js 6.9 KB runs code
- scripts/detect-parity.test.js 7.2 KB runs code
- scripts/editorial-cards.test.js 7.1 KB runs code
- scripts/flatten-skill.js 1.6 KB runs code
- scripts/flatten-skill.test.js 2.5 KB runs code
- scripts/fp-compare.js 21 KB runs code
- scripts/fp-compare.test.js 15 KB runs code
- scripts/fp-measure-cli.test.js 4.4 KB runs code
- scripts/fp-measure.js 18 KB runs code
- scripts/fp-measure.test.js 8.1 KB runs code
- scripts/fp-preprocess.js 18 KB runs code
- scripts/fp-preprocess.test.js 33 KB runs code
- scripts/markdown-prose.js 13 KB runs code
- scripts/normalize-quotes.js 4.9 KB runs code
- scripts/normalize-quotes.test.js 19 KB runs code
- scripts/promo-drift-report.py 3.5 KB runs code
- scripts/run-tests.js 1.7 KB runs code
- scripts/self-scan-diagnostics.test.js 12 KB runs code
- scripts/self-scan.js 14 KB runs code
- scripts/self-scan.test.js 5.5 KB runs code
- scripts/sync-cursor-rules.sh 13 KB runs code
- scripts/sync-plugin-skill.sh 4.5 KB runs code
- SKILL.full.md 151 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago Changed · +93 lines ce0f05578daa
- 1mo ago Changed 39ab6b800eeb
- 1mo ago Changed · -646 lines 7d49b95e012d
- 1mo ago Changed · +24 lines 7ced3c698776
- 1mo ago Changed 853b46d81f20
- 1mo ago First seen · 891 lines · 42 tokens per session scan A ab0baaddafa5
avoid-ai-writing is a skill published in the GitHub repository PracticalSwan/agent-skills (21 stars, last pushed 5d ago), licensed MIT. It adds 42 tokens to every session and 7,283 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to avoid-ai-writing, differing in 68 lines, and is treated as a copy.
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