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metagit-agent-access SKILL.md skillA

This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.

metagit-agent-access from metagit-ai/metagit-cli is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add metagit-ai/metagit-cli/metagit-agent-access@git:20260717.8774857

Pins git:20260717.8774857 in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: metagit-ai/metagit-cli
Path: .agents/skills/metagit-agent-access/SKILL.md
Versions recorded: 2
Latest version: git:20260717.8774857, committed Jul 17, 2026
First version recorded: Jun 24, 2026
Size: 5,042 bytes
Repository stars: 4
License: MIT

Optimize any repository for minimal-token agent onboarding — llms.txt, AGENTS.md, hidden HTML agent blocks, docs/agents.md. Use when asked to improve agentic access, agent metadata, llms.txt, or run the agent-access optimizer subagent on a project.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Metagit agent access optimizer

On-demand workflow to make a **target repository** easy for AI agents to grasp with **minimal tokens**, using conventions that stay **out of the human reading path** where possible.

## When to use

- User asks to optimize agent access, agent onboarding, or `llms.txt`
- User wants hidden agent metadata in an existing project
- After adding major CLI/MCP features to a product repo (refresh agent surfaces)

Do **not** run proactively on every task.

## Execution modes

| Mode | When |
|------|------|
| **Script first** | Default — fast audit + scaffold |
| **Subagent** | Large/unknown repo or user wants full editorial pass |

### 1) Script (run first)

Hermes `skill_manage` installs **SKILL.md only** — local `./scripts/` paths will not exist.
Prefer the PyPI package path (always available when `metagit-cli` is installed) or
`metagit skills install --skill metagit-agent-access` for a full skill tree.

From the **target repository root** (not necessarily metagit-cli):

```bash
SKILL_ROOT="$(python3 -c "import metagit, pathlib; print(pathlib.Path(metagit.__file__).parent / 'data/skills/metagit-agent-access')")"
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add metagit-ai/metagit-cli/metagit-agent-access@sha256:006f25f48f89eda9

The line at the top of this page pins the label git:20260717.8774857, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

[![mdr](https://markdownregistry.com/badge/art_mwhw5hrhnocidtni.svg)](https://markdownregistry.com/a/art_mwhw5hrhnocidtni)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Jun 24, 2026 and Jul 17, 2026, about one every 23 days.

version	committed	commit	size	audit
git:20260717.8774857 latest	2026-07-17	8774857	5,042 B	A	view · diff
git:20260624.56de31d	2026-06-24	56de31d	5,033 B	A	view

Audit of the latest version

A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.

pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (5042 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag

Source

GitHub

metagit-ai/metagit-cli · 4 stars · license MIT · pushed 2026-11-03 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_mwhw5hrhnocidtni
GET https://markdownregistry.com/api/v1/resolve?ref=metagit-ai/metagit-cli/metagit-agent-access
GET https://markdownregistry.com/api/v1/blob/006f25f48f89eda9ad59208d7abb3ddd7a3ab725a340e640bf14f31dacf7b029

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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