How do I install the Agentskill Config skill?

Run npx skillmds@latest add navishachiku/agentskill-config in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Agentskill Config safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Agentskill Config?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Agentskill Config free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Agentskill Config?

navishachiku (@navishachiku) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Agentskill Config by navishachiku — Agent Skill

Name: Agentskill Config
Rating: 4.2 (5 reviews)
Author: navishachiku

File contents

agentskill-config

Storage

Two-layer JSON files with per-key override priority: project overrides global; within the same layer, <skill-name> overrides _shared.

Scope	Path
`global`	`~/.agents/skill_config.json`
`project`	`<project-root>/.agents/skill_config.json`

<project-root> is resolved via git rev-parse --show-toplevel. The project layer path should be gitignored — personal preferences are not for team version control.

_shared is a reserved top-level key used when multiple skills share the same conceptual preference. Read applies a 4-layer automatic fallback:

1. project.<skill-name>.<key>
2. project._shared.<key>
3. global.<skill-name>.<key>
4. global._shared.<key>

The first non-null value is used.

CLI

<skill> = the agentskill-config directory (resolved from the load path by the agent); <X> = consumer skill name (e.g. git-open-pr) or _shared.

SC=<skill>/scripts/agentskill-config.js

# Read (auto-fallback; outputs empty string and exits 0 if not found)
value=$(node "$SC" read <X> <key>)

# Write (writes to the corresponding file by scope; mkdir -p automatically; idempotent merge)
# When writing to _shared, the CLI prints an impact-scope warning to stderr — agent should confirm with user before proceeding
node "$SC" write <X> <key> "<value>" --scope <global|project>

# List
node "$SC" list <X>            # list a specific skill / _shared
node "$SC" list                # list all

# Clean (SHOULD --dry-run first to preview)
node "$SC" clean <X> [--scope <global|project>] [--dry-run]

For full flag details, stdout format, and exit codes, see references/api.md.

---name: agentskill-configdescription: Stores and retrieves per-user, per-project preferences for AI skills via a unified JSON-backed CLI. Loaded by consumer skills that declare a '## Skill Config' section with keys to persist across invocations.---# agentskill-config## StorageTwo-layer JSON files with per-key override priority: `project` overrides `global`; within the same layer, `<skill-name>` overrides `_shared`.| Scope | Path || --------- | ------------------------------------------ || `global` | `~/.agents/skill_config.json` || `project` | `<project-root>/.agents/skill_config.json` |`<project-root>` is resolved via `git rev-parse --show-toplevel`. The `project` layer path should be gitignored — personal preferences are not for team version control.`_shared` is a reserved top-level key used when multiple skills share the same conceptual preference. Read applies a 4-layer automatic fallback:```1. project.<skill-name>.<key>2. project._shared.<key>3. global.<skill-name>.<key>4. global._shared.<key>```The first non-null value is used.---## CLI> `<skill>` = the agentskill-config directory (resolved from the load path by the agent); `<X>` = consumer skill name (e.g. `git-open-pr`) or `_shared`.```bashSC=<skill>/scripts/agentskill-config.js# Read (auto-fallback; outputs empty string and exits 0 if not found)value=$(node "$SC" read <X> <key>)# Write (writes to the corresponding file by scope; mkdir -p automatically; idempotent merge)# When writing to _shared, the CLI prints an impact-scope warning to stderr — agent should confirm with user before proceedingnode "$SC" write <X> <key> "<value>" --scope <global|project># Listnode "$SC" list <X> # list a specific skill / _sharednode "$SC" list # list all# Clean (SHOULD --dry-run first to preview)node "$SC" clean <X> [--scope <global|project>] [--dry-run]```For full flag details, stdout format, and exit codes, see `references/api.md`.

Frequently asked questions

Agentskill Config