ninetyhe-90/de-armor

选用指南

AI 根据 README 整理 · 2026/10/28 21:26:41

使用方式

通过自然语言触发，例如“破甲”或“说人话，别绕”，可修复上一条回复或审阅指定文本。

查看 README 依据

The skill is natural-language triggered. Typical requests: ```text 破甲 说人话，别绕 别给我一堆免责声明，直接给方案 审一下这段回复，保留事实和条件 ``` When the user gives no extra text, the skill repairs the previous answer. It does not print a method lecture first. --- ## How it works 1. **Locate the actual task** — an answer, a choice, a deliverable, a debugging step, or emotional support. 2. **Lock what must survive** — facts, conditions, uncertainty, permission boundaries, and the artifact due this turn.

部署要求

核心功能仅需 SKILL.md，可选审计脚本需要 Python 3.9+ 标准库，无第三方依赖，离线运行。

查看 README 依据

Then load it the way your agent already loads skills: - **Agent with a skills directory** — drop the folder in; the directory layout is the convention, not a requirement. - **Agent driven by rules or instructions** — paste `SKILL.md` into its rule file, `AGENTS.md`, or system prompt. - **No skill mechanism at all** — prepend `SKILL.md` to the conversation context. The core workflow only needs `SKILL.md`. The auditor is optional and uses the Python 3.9+ standard library, with no third-party packages. ## Preview <p align="center">

"forbidden": ["root cause is the database", "already verified"] } ``` `BLOCKED` when a declared anchor is missing or a forbidden claim appears. `REVIEW` when wording or new numbers need a human look, or no contract was supplied. `CHECKED` when this machine pass found nothing — still not a semantic certification. </details> --- ## Local auditor `scripts/armor_lint.py` is read-only and offline. It does not generate answers, edit text, or call the network. Quotes, fenced code, and inline code are excluded from everyday-wording checks. ```sh # Plain review

已知限制

机器检查不是事实正确性的认证；不覆盖宿主指令、授权或安全限制，不得用于绕过权限；无网络访问、无自动重写。

查看 README 依据

│ ├── overcorrection.md # Over-compression counterexamples │ └── rewrite-examples.md # Practice scenarios and rerun guide └── scripts/ ├── armor_lint.py # Read-only auditor ├── selftest.py # 47 self-tests └── build_demo.py # Build / verify the demo ``` --- ## Boundaries - Passing the machine check is not proof of factual correctness; semantics still need a human. - It does not override host instructions, authorization, or real safety limits, and must not be used to bypass permissions.

- No network access, no data uploads, no automatic rewriting. - Cases are constructed material and rule results are computed locally; they are not presented as external model A/B tests. - Real host boundaries, user formatting needs, and required workflows are unchanged by this skill. --- ## Changelog