Borrowing it
Nothing to install: this file belongs to liyq0307/anti-distill-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/liyq0307/anti-distill-skills/main/.agents/skills/anti-distill/SKILL.mdgit clone --depth 1 https://github.com/liyq0307/anti-distill-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/liyq0307/anti-distill-skills/anti-distill)<a href="https://agentmods.dev/skills/liyq0307/anti-distill-skills/anti-distill"><img src="https://agentmods.dev/badge/skills/liyq0307/anti-distill-skills/anti-distill/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/liyq0307/anti-distill-skills/anti-distill"><img src="https://agentmods.dev/badge/skills/liyq0307/anti-distill-skills/anti-distill.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 | $0.00071 | $0.00815 |
| Opus 5 | $0.00036 | $0.00407 |
| Sonnet 5 | $0.00014 | $0.00163 |
| Haiku 4.5 | $0.00007 | $0.00081 |
Grade A, and why
anti-distill 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Anti-Distill
反蒸馏
Overview
概述
This is the Codex/ECC discovery entrypoint for the canonical implementation in: 这是 Codex/ECC 的发现入口，真实实现位于：
anti-distill-skills/anti-distill/
Canonical Files
正式文件
Use the canonical files from this repo root: 请读取仓库根目录中的正式文件：
- Main instructions: ../../../../anti-distill/SKILL.md
- Classifier: ../../../../anti-distill/prompts/classifier.md
- Skill diluter: ../../../../anti-distill/prompts/diluter_skill.md
- Ops diluter: ../../../../anti-distill/prompts/diluter_ops.md
- General diluter: ../../../../anti-distill/prompts/diluter_general.md
Preferred Execution
推荐执行方式
Preferred execution path: 推荐执行方式：
python .\anti-distill\scripts\anti_distill.py --input <path> --output-dir <dir> --level medium --interactive
Commands Quick Ref
新子命令速查区
Use these subcommands with anti-distill/scripts/anti_distill.py:
使用 anti-distill/scripts/anti_distill.py 时可用以下子命令：
analyze- inspect leverage categories, doc type, and riskanalyze- 分析杠杆类别、文档类型和风险等级
python .\anti-distill\scripts\anti_distill.py analyze --input <path>
plan- generate a defense strategy before rewritingplan- 在改写前生成防护策略
python .\anti-distill\scripts\anti_distill.py plan --input <path> --mode sanitize
sanitize- generate cleaned output + private backup + reportsanitize- 生成清洗版 + 私有备份 + 报告
python .\anti-distill\scripts\anti_distill.py sanitize --input <path> --output-dir <dir> --level medium --interactive
generate-decoy- generate outward-facing decoy packagegenerate-decoy- 生成对外展示诱饵包
python .\anti-distill\scripts\anti_distill.py generate-decoy --input <path> --output-dir <dir>
What ships with it
1 file 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.
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.
- 12d ago First seen · 85 lines · 71 tokens per session scan A 23eef348ce39
anti-distill is a skill published in the GitHub repository liyq0307/anti-distill-skills (5 stars, last pushed 5mo ago), licensed MIT. It adds 71 tokens to every session and 815 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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