An LLM Agent governance skill — micro tier: 2 departments, 18 function blocks, one installable skill package.
English | 简体中文
README.en.mdis an identical English copy of this file, kept so the.en/.zhlanguage suffixes stay symmetric for i18n tooling.
- Install — copy the
ai-company/folder into your agent's skills workspace. - Activate — the skill registers through its single runtime entry point,
SKILL.md; no other file participates in routing or activation. - Use — ask your agent a governance or delivery question; it routes via
SKILL.mdto the relevant department specification underreferences/departments/. - Human mode — copy a ready-made prompt from
prompts/01-implement-method.mdorprompts/02-robustness-checks.mdinto any AI chat window. Both files arehuman-pastemode and reference no internal paths. - Verify — run
python tests/test-method-patterns.py, and check tier readiness withpowershell -File scripts/self-scale.ps1 -Action evaluate.
| Item | Value |
|---|---|
| Skill name | ai-company |
| Version | 1.0.0 |
| Scale tier | micro (XS) |
| Departments | 2 (governance-and-delivery, engineering-and-safety) |
| Function blocks | 18 (8 + 10) |
| Total files | 26 |
| License | GPL-3.0 |
ai-company/
├── .editorconfig
├── .gitattributes
├── .gitignore
├── .scaling-state.json
├── AGENTS.md
├── CHANGELOG.md
├── CODE_OF_CONDUCT.md
├── CONTRIBUTING.md
├── LICENSE
├── README-FOR-AI.md
├── README.en.md
├── README.md
├── README.zh.md
├── SECURITY.md
├── SKILL.md
├── _meta.json
├── prompts/
│ ├── 01-implement-method.md
│ └── 02-robustness-checks.md
├── references/
│ ├── method-patterns.md
│ ├── error-codes.md
│ ├── scaling.md
│ └── departments/
│ ├── governance-and-delivery.md
│ └── engineering-and-safety.md
├── scripts/
│ ├── self-scale.ps1
│ └── scaling-config.json
└── tests/
└── test-method-patterns.py
- CONTRIBUTING.md — branch, commit, test, and PR rules
- SECURITY.md — supported versions and vulnerability reporting
- CHANGELOG.md — release history
- CODE_OF_CONDUCT.md — community standards
AGENTS.md— entry point for coding agents maintaining this repository (does not participate in skill routing)README-FOR-AI.md— generation & maintenance spec for LLM Agents (self-contained and authoritative for this standalone project; no external spec is required)
This package is designed to grow. scripts/self-scale.ps1 -Action evaluate
checks tier readiness against scripts/scaling-config.json and writes back
only its own bookkeeping fields to .scaling-state.json (next_evaluation,
last_metrics, routing_miss_streak); it never modifies skill content. The
actual upgrade always requires human approval and is recorded in
.scaling-state.json. Thresholds, paths, and aliases are specified in
references/scaling.md; the scale-tier ladder itself is
defined locally in README-FOR-AI.md §1.
Copyright (c) 2026. Licensed under the GNU General Public License v3.0.