Borrowing it
Nothing to install: this file belongs to chengkj99/kj-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/chengkj99/kj-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/chengkj99/kj-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/instructions/chengkj99/kj-skills/agents-md)<a href="https://agentmods.dev/instructions/chengkj99/kj-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/chengkj99/kj-skills/agents-md/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/instructions/chengkj99/kj-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/chengkj99/kj-skills/agents-md.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 | $0.01071 | $0.01071 |
| Opus 5 | $0.00535 | $0.00535 |
| Sonnet 5 | $0.00214 | $0.00214 |
| Haiku 4.5 | $0.00107 | $0.00107 |
Grade A, and why
kj-skills AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.
仓库规范
项目结构与模块组织
本仓库是本地 Agent Skill 的集合。每个 skill 位于 skills/<skill-id>/,入口文件为 SKILL.md。较长的支撑材料放在 references/,可执行脚本放在 scripts/,可复用示例放在 examples/,演示或报告资产放在 assets/。仓库级文档位于 README.md、CONTRIBUTING.md 和 docs/。Claude、Cursor、Codex 和 Agents 的插件元数据分别在 .claude-plugin/、.cursor-plugin/、.codex-plugin/ 和 .agents/plugins/。
构建、测试与开发命令
npm run sync:将全部 skill 软链到~/.claude/skills/。npm run sync:one -- <skill-name>:按需安装单个(或多个)skill 到~/.claude/skills/。npm run sync:codex:将全部 skill 软链到$CODEX_HOME/skills/或~/.codex/skills/。npm run sync:all:同时更新 Claude 和 Codex 的 skill 注册。./sync-codex-skills.sh content-creator git-push:仅注册指定的 skill。WI_SKIP_CLAUDE_TESTS=1 bash skills/wiki-intelligence/tests/test-wiki-intelligence.sh:不调用真实 Claude 的情况下运行 wiki-intelligence shell 测试。
代码风格与命名规范
skill 目录使用小写 kebab-case,例如 skills/ai-coding-weekly-report。入口文件固定命名为 SKILL.md,以 YAML frontmatter 开头,后接简洁的 Markdown 说明。Shell 脚本使用 Bash,路径加引号,新脚本优先使用 set -euo pipefail。Python 辅助脚本放在所属 skill 目录下,保持 CLI 风格、体积小巧。Markdown 标题要有描述性,示例要可直接运行,参考资料放在使用它的 skill 附近。
测试规范
目前没有全仓库统一的测试运行器。在功能旁边添加针对性测试,参照 skills/wiki-intelligence/tests/test-*.sh 的模式编写 shell 测试库。对于需要调用外部工具或模型的 skill,提供环境变量以跳过真实集成调用,如 WI_SKIP_CLAUDE_TESTS=1。提交前运行相关脚本测试,若注册行为有变动还需运行至少一条 sync 命令。
提交与 PR 规范
Git 历史遵循 Conventional Commits,例如 feat(skills): add multiple new skills、docs(ai-daily-from-x): introduce new skill。格式为 type(scope): summary,scope 可为 skills、CONTRIBUTING 或某个 skill id。每个 PR 聚焦于单个 skill 或单项文档变更。PR 描述应列出变更的 skill、更新的文档或插件元数据、已执行的测试命令,以及有意跳过的检查项。禁止提交真实的 API Key、Token、私有 wiki 内容或仅限本机的配置。
Agent 专项说明
涉及信贷前端、滴水贷或信用购问题时,先读取 /Users/didi/ai_space/loanfe-llm-wiki/wiki/index.md,再查阅具体页面。完整的外部 wiki 规则见 /Users/didi/ai_space/loanfe-llm-wiki/AGENTS.md。
local-stt-transcription 说明
skills/local-stt-transcription/是本地音视频转最终校对文字稿的统一 skill。- 该 skill 的脚本和校对规则必须保持在 skill 目录内;外部仅依赖
/Users/chengkangjian/work/stt这类jianchang512/sttruntime 和模型目录。 - 新电脑或 runtime 缺失时,先使用
skills/local-stt-transcription/scripts/bootstrap_stt_runtime.sh初始化。 - 对接
kj-llm-wiki时,短视频输出目录为raw/studio/transcripts/。该目录是已发布短视频的文字稿资产库,用于复盘已发布内容并做连载选题规划;规划结果应标注来源文字稿、所属系列和下一集角度。
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.
- 10d ago First seen · 42 lines · 1,071 tokens per session scan A f1c28c1833e2
kj-skills AGENTS.md is an instructions file published in the GitHub repository chengkj99/kj-skills (14 stars, last pushed 8d ago), licensed MIT. It adds 1,071 tokens to every session, about $0.0054 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 2026-08-30.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.