Borrowing it
Nothing to install: this file belongs to lumenharbor/garchi-cms-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/lumenharbor/garchi-cms-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/lumenharbor/garchi-cms-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/lumenharbor/garchi-cms-skills/agents-md)<a href="https://agentmods.dev/instructions/lumenharbor/garchi-cms-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/lumenharbor/garchi-cms-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/lumenharbor/garchi-cms-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/lumenharbor/garchi-cms-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 | $0.00801 | $0.00801 |
| Opus 5 | $0.00400 | $0.00400 |
| Sonnet 5 | $0.00160 | $0.00160 |
| Haiku 4.5 | $0.00080 | $0.00080 |
Grade A, and why
garchi-cms-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 9d 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository guide
This repository is the canonical AI-agent integration for Garchi CMS, a headless CMS by LumenHarbor Digital Solutions Limited. It is a distribution package, not an application: no build step, no runtime code.
Layout
plugin.json Agent Plugins v1 manifest (canonical)
mcp.json Agent Plugins v1 MCP config — hosted Garchi MCP, OAuth
.mcp.json Same server, Claude Code / Codex manifest format
.app.json Codex mapping to the registered Garchi ChatGPT connector
.claude-plugin/ Claude Code plugin + marketplace manifests
.codex-plugin/ Codex / ChatGPT plugin manifest
.agents/plugins/ Codex repo marketplace entry
skills/ The three skills — the only place skill content lives
assets/logo.png Marketplace logo
The skills
| Skill | Responsibility |
|---|---|
garchi-build-site |
Orchestration: pick starter kit vs. integration, connect MCP, model content, verify content stays editable without code changes. |
garchi-render-content |
Application code that fetches and renders Garchi content. |
garchi-manage-content |
Content operations over the Garchi MCP server. |
Their trigger conditions are deliberately disjoint. Keep them that way: an agent should be able to tell from the descriptions alone which one applies.
Working in this repository
skills/is canonical. Never fork a skill per platform — the manifests all point at the same directory.- Manifests carry metadata only. If you change the plugin name, version, description or logo path, change it in every manifest in the same commit.
- No secrets. Ever. The MCP entries carry a URL and nothing else; authentication is the client's OAuth flow against Garchi.
- Skill references live beside their skill in
references/. Cross-skill links use relative paths and are only valid when the whole plugin is installed — always pair them with a public URL fallback. - Do not vendor the starter kits. Reference the official repositories.
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.
- 9d ago First seen · 71 lines · 801 tokens per session scan A 5ba84d00ca69
garchi-cms-skills AGENTS.md is an instructions file published in the GitHub repository lumenharbor/garchi-cms-skills (0 stars, last pushed 2d ago), licensed MIT. It adds 801 tokens to every session, about $0.0040 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.
Other instructions, from other repositories
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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
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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.