Edge Copy setup link
Skill evidence / chinese-output
Skill profile

chinese-output

在输出包含中文字符与中文标点符号、编写中文文档、根据中文文档生成中文的交互回应、回复用户用中文提出的问题或任务、需要进行中文与非中文混排操作等涉及中文文字与标点符号的使用的场景中,必须使用本 Skill...

What this skill does for you

在输出包含中文字符与中文标点符号、编写中文文档、根据中文文档生成中文的交互回应、回复用户用中文提出的问题或任务、需要进行中文与非中文混排操作等涉及中文文字与标点符号的使用的场景中,必须使用本 Skill 以获得专业的中文字符的操作指导与行为规范引导。

Quoted from the skill description in the pinned source

Who made it

Publisherlostabaddon
Repositoryheadlessknight
Installs288as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the chinese-output skill from lostabaddon/headlessknight.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: bec5cd2b5d1e8e0c331f966341f4ac47eff48802. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: bec5cd2b5d1e8e0c331f966341f4ac47eff48802. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: bec5cd2b5d1e8e0c331f966341f4ac47eff48802. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/lostabaddon/headlessknight
Pinned skill file
View source at revision
Revision
bec5cd2b5d1e8e0c331f966341f4ac47eff48802
Package hash
sha256:4205d70cbed256a1d3effb54bd767987da0b30214bd726dad235b1a73fa437b2
Licence
MIT