mason-skills: Instructions file for Codex

AGENTS.md

mason-skills AGENTS.md is an instructions file for Codex, OpenCode from hxy91819/mason-skills. It costs 2,283 tokens per session, scanned A, original, MIT.

Repository rules for creating, moving, or changing skills for coding agents. They explain how to classify a skill, decide whether it runs automatically or only when requested, and update its configuration.

In plain words
What is it for?
Use them when developing or migrating skills, editing their configuration, or deciding whether a skill should be automatic or explicitly invoked.
Why use it?
They prevent skills from being triggered inappropriately and require the project’s invocation policy to be made clear.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions Codex; $skill-name invocation.

This is hxy91819/mason-skills's own configuration. It tells Codex and OpenCode how to work on mason-skills itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything mason-skills configures →

Reuse

Borrowing it

Nothing to install: this file belongs to hxy91819/mason-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.

Copy the file
curl -O https://raw.githubusercontent.com/hxy91819/mason-skills/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/hxy91819/mason-skills

Made for: Codex, OpenCode.

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Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
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ModelPer sessionOnce invoked
Fable 5.1 $0.02283 $0.02283
Opus 5 $0.01141 $0.01141
Sonnet 5 $0.00457 $0.00457
Haiku 4.5 $0.00228 $0.00228

Measured today against content hash ab3d4ca48095, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

mason-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 today.

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.

AGENTS.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repository Agent Rules

Skill invocation policy

每当创建、迁移或修改一个 skill,交付前必须先判断它的默认触发类型,并把判断结果告知用户。

分类与默认值

先阅读该 skill 的 SKILL.md,以及已有的 agents/openai.yaml(如果存在),再按主要使用方式分类:

  • 流程类 skill:负责规划、审查、复盘、治理、发布、迁移、编排,或包含审批门禁、用户决策或明显副作用的多步流程。默认仅显式触发,设置 policy.allow_implicit_invocation: false;用户需要通过 $skill-name 调用。它不会被隐式注入 Codex context。
  • 被动型 skill:提供可在请求自然匹配时由 agent 主动采用的通用能力,通常是低风险的格式化、生成、查询或验证。默认允许隐式触发,设置 policy.allow_implicit_invocation: true
  • 无法明确分类或两者混合:采用流程类的保守默认值 false,并向用户说明不确定性和可选覆盖方式,不得静默选择。

分类依据是 skill 的实际工作流和风险,不是目录名称。可参考仓库现有设置:anti-ai-slopdistillautoreviewlarge-task-planninguse-worktreestory-direction-reviewask-oracle 为显式触发;open-source-contribution 为允许隐式触发。

仓库存在两种触发标记:Codex 优先读取 agents/openai.yamlpolicy.allow_implicit_invocation;部分兼容旧技能还在 SKILL.md frontmatter 使用 disable-model-invocation: true。流程类 skill 必须以 allow_implicit_invocation: false 为 Codex 默认值,并保留或同步已有的 disable-model-invocation: true;被动型 skill 不得遗留与允许隐式触发相冲突的禁用标记。

配置与告知机制

  1. agents/openai.yaml 中写入或更新 policy.allow_implicit_invocation,保留无关的 interfacedependencies 字段;缺少该文件时创建最小完整配置。
  2. SKILL.md 的描述和正文与该策略一致:显式触发的 skill 要说明需要用户调用,允许隐式触发的 skill 不得声称只能手动调用。description 只写何时触发,不介绍 skill 做什么;行为变化写进正文,默认不动 description
  3. 向用户报告:skill 名称、分类、默认策略、判断依据、配置文件,以及显式触发时的 $skill-name 用法;若采用保守默认,还要说明如何请求改为允许隐式触发。
  4. 用 skill validator、YAML 解析和 git diff --check 验证;若配置或分类与用户明确要求冲突,以用户要求为准并在报告中说明。

Skill 清单维护

config/skill-symlinks.yaml 是本仓库推荐 user-scope 软链的单一事实源:记录哪些 skill 推荐软链到全局(~/.agents/skills)。外部项目(如 mattpocock-skills)经 sources: 按项目名登记,条目加 source: 指向项目;项目位置按 $SKILL_SOURCE_<NAME>_DIR > $SKILL_SOURCES_DIR/<项目名> > 本仓库同级目录解析,清单里绝不写机器绝对路径。其他电脑拉取本仓库后,依据它即可复现同一套 skill 配置,无需口口相传。

  • common-skills/ 新增 skill 且用户要求软链到 user scope 时,必须同步登记清单: python3 common-skills/skill-manifest-sync/scripts/sync_skill_symlinks.py --mode register --skill <name> [--note "..."]
  • 登记外部项目 skill 用 --mode register --source <项目名> --skill <name>;项目须已在 sources: 声明(缺省自动补一条)。
  • 删除或重命名 skill 时用 --mode remove --skill <name> 同步清单,避免留下悬空条目。
  • 交付涉及 skill 增删的改动前,跑一次 --mode check 确认清单与本机实际软链一致。
  • 本机同步入口是 $skill-manifest-sync--mode check 预览、--mode apply 执行。apply 对「指向本仓库或已声明来源项目但不在清单里」的软链逐个提示删除;用户明确说保留时写入本机白名单 ~/.agents/skill-sync-whitelist.yaml。白名单属于本机环境偏好,不提交 Git,也不得加进仓库的 .gitignore 之外的任何清单文件。
  • 脚本只管理直接指向本仓库或已声明来源项目的软链:真实目录和经其他工作区中转的链接一律不碰,冲突只报告。

Read the full file on GitHub · 75 lines

Changes

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.

  1. today Changed · +47 tokens per session ab3d4ca48095
  2. yesterday Changed · +7 tokens per session c2e21aec7036
  3. 4d ago Changed · +1 lines · +128 tokens per session 062952f8a058
  4. 5d ago Changed · +29 tokens per session b5b5702037ae
  5. 6d ago Changed · +43 lines · +1,262 tokens per session 17de8928f629
  6. 10d ago First seen · 31 lines · 810 tokens per session scan A 449bd8e1e19c

Subscribe to this mod's changes

mason-skills AGENTS.md is an instructions file published in the GitHub repository hxy91819/mason-skills (2 stars, last pushed today), licensed MIT. It adds 2,283 tokens to every session, about $0.0114 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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