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Agentskill config

Skill navishachiku/agentskill-config

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.From its SKILL.md

Install
npx -y skills add navishachiku/agentskill-config

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
  • runs commandsInstructs the agent to run 6 commands, including `git rev-parse --show-toplevel` and 5 more.

SKILL.md

2.0 KB, 440 tokens by cl100k_base, as published. Nobody here has run it

agentskill-config

Storage

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

ScopePath
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.

What ships with it: 11 files

45.3 KB alongside SKILL.md, 1 of them executable

docs/

references/

scripts/

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.