agents-generator

agents-generator is a skill for Claude Code from lingxling/awesome-skills-cn. It costs 50 tokens per session (2,233 once invoked), scanned A, a copy of agents-generator, MIT.

A project-specific generator for AGENTS.md and related coding-agent rules. It examines a codebase to detect its tools and structure, including monorepos, then can produce full, minimal, updated, or preview-only instructions.

In plain words
What is it for?
Use it to generate or update repository instructions, add rules for packages and frameworks, validate commands, or preview changes before writing them.
Why use it?
It avoids writing generic guidance that does not match the project and can preserve existing files through backups and managed sections.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions CLAUDE.md; mentions AGENTS.md; mentions Codex.

Part of the agentic-awesome-skills plugin — 174 skills shipped together

Good fit Use it to generate or update repository instructions, add rules for packages and frameworks, validate commands, or preview changes before writing them.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lingxling/awesome-skills-cn/agents-generator
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add lingxling/awesome-skills-cn --skill agents-generator
Clone the repo
git clone --depth 1 https://github.com/lingxling/awesome-skills-cn

Made for: Claude Code.

Or install agentic-awesome-skills, the plugin that ships this one along with the rest of its 174 skills.

Wrote 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.

agentmods badge for agents-generator

README.md
[![agentmods](https://agentmods.dev/badge/skills/lingxling/awesome-skills-cn/agents-generator/github.svg)](https://agentmods.dev/skills/lingxling/awesome-skills-cn/agents-generator)
Your own site
<a href="https://agentmods.dev/skills/lingxling/awesome-skills-cn/agents-generator"><img src="https://agentmods.dev/badge/skills/lingxling/awesome-skills-cn/agents-generator/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.

agentmods 80×15 button for agents-generator

Your own site · 80×15
<a href="https://agentmods.dev/skills/lingxling/awesome-skills-cn/agents-generator"><img src="https://agentmods.dev/badge/skills/lingxling/awesome-skills-cn/agents-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,233 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00050 $0.02233
Opus 5.5 $0.00020 $0.00893
Sonnet 5.5 $0.00010 $0.00447
Haiku 4.5 $0.00005 $0.00223

Measured 13d ago against content hash 176cbd2d4e59, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agents-generator 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 13d 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.

Origin

This is a copy

100% identical to agents-generator — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

antigravity-awesome-skills/plugins/agentic-awesome-skills-claude/skills/agents-generator/SKILL.md · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: agents-generator

[!WARNING] [Authorized Use Only] This skill writes or updates AGENTS.md, .agents/rules/, optional platform instruction files, and timestamped backups in the target project. Read the detected inputs and proposed outputs first, obtain approval before changing target files, and use it only inside the user's intended project scope.

When to Use

Use this skill when the user wants to:

  • create a complete, project-specific AGENTS.md instead of generic agent rules;
  • generate companion rules for detected frameworks, tests, databases, styling, or monorepo packages;
  • create a minimal AGENTS.md, preview changes without writing, or update existing instructions after the stack changes.

Do not use it to invent conventions without inspecting the target project, to overwrite instructions outside the user's scope, or to treat generated guidance as a substitute for human review.

Generates a tailored AGENTS.md + .agents/rules/*.md for the target project — not a template with placeholders, but a living document that matches the project's real toolchain.

What you get

From a project that uses Bun + Next.js 16 + Tailwind + Vitest + Server Actions, the skill produces:

AGENTS.md
├── Setup commands: bun install, bun dev, bun run test:run, bun doctor
├── Verification Cycle: bunx tsc --noEmit → bun run lint → bun run test:run → bun doctor
├── Conventions: "Bun always. Plain TypeScript types + guards."
└── Architecture → .agents/rules/architecture.md

.agents/rules/
├── architecture.md       ← ASCII diagram with real directories, exact versions
├── frontend-patterns.md  ← Component rules, state locations, trust boundaries
├── server-actions.md     ← downloadVideo() flow, DownloadResult type, rate limiter
├── testing.md            ← "74 tests in 5 files", vitest commands, mock patterns
├── git-workflow.md       ← Conventional commits, pre-commit checks
└── sdd-workflow.md       ← Preflight defaults, post-apply verification

Rules NOT generated: backend.md (no NestJS), database.md (no ORM), i18n.md (hardcoded Spanish), forms.md (manual inputs), styling.md (Tailwind in frontend rules).

Read the full file on GitHub · 164 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. 13d ago First seen · 164 lines · 50 tokens per session scan A 176cbd2d4e59

Subscribe to this mod's changes

agents-generator is a skill published in the GitHub repository lingxling/awesome-skills-cn (314 stars, last pushed 13d ago), licensed MIT. It adds 50 tokens to every session and 2,233 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to agents-generator, differing in 0 lines, and is treated as a copy.

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