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Agent skill

Config Settings Management

by Mesh-LLM in Mesh-LLM/mesh-llm

A skill your agent uses when adding, renaming, removing, validating, or exposing mesh-llm config settings, including built-in settings, plugin config schemas, owner-control apply behavior, CLI…

Apache-2.0Auto-check passedAI & LLM Engineering

Install Config Settings Management

skills CLI
$ npx skills add Mesh-LLM/mesh-llm --skill config-settings-management -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Mesh-LLM/mesh-llm config-settings-management --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Mesh-LLM/mesh-llm.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/config-settings-management .claude/skills/config-settings-management && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
config-settings-management
GitHub stars
3.5k
Token cost
~1.4k tokens
SKILL.md length
468 words
Files
1
Skills in repo
25
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when adding, renaming, removing, validating, or exposing mesh-llm config settings, including built-in settings, plugin config schemas, owner-control apply behavior, CLI…

  • Exposing mesh-llm config settings
  • SKILL.md covers Mental Model, Built-In Settings Checklist, Plugin Settings Checklist and Owner-Control And UI, plus 1 more section
  • Calls cargo, npm and just
  • Including built-in settings

What it does

Config Settings Management is an agent skill from Mesh-LLM/mesh-llm. Use this skill when adding, renaming, removing, validating, or exposing mesh-llm config settings, including built-in settings, plugin config schemas, owner-control apply behavior, CLI validation, and UI configuration surfaces.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering. The repository describes itself as: Distributed AI/LLM for the people. Share compute privately or publicly to power your agents and chat. The licence is Apache-2.0.

When your agent uses it

  • Exposing mesh-llm config settings
  • Including built-in settings
  • Plugin config schemas
  • Owner-control apply behavior

Example prompts

  • “/config-settings-management”

What it can do on your machine

Read from SKILL.md and the folder at commit 43ddd24. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • cargo
    • npm
    • just

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Config Settings Management loads about 1.4k tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 468 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Mesh-LLM/mesh-llm at commit 43ddd24, republished under its Apache-2.0 licence (© Mesh-LLM). 468 words, ~1,382 tokens.

Download SKILL.mdSave it as .claude/skills/config-settings-management/SKILL.md (or your agent's skills folder).
name
config-settings-management
description
Use this skill when adding, renaming, removing, validating, or exposing mesh-llm config settings, including built-in settings, plugin config schemas, owner-control apply behavior, CLI validation, and UI configuration surfaces.
metadata.short-description
Keep mesh-llm config settings complete

config-settings-management

Use this skill before changing any setting that appears in ~/.mesh-llm/config.toml, the owner-control configuration API, the runtime configuration UI, or an installed plugin's config_schema.

Mental Model

Config settings are not just struct fields. A complete setting has:

  • A persisted TOML shape in mesh/crates/mesh-llm-config/src/model.rs.
  • Authoring/editor support in mesh/crates/mesh-llm-config/src/authoring.rs when code needs to create or mutate it.
  • Built-in schema metadata in mesh/crates/mesh-llm-config/src/model/built_in_schema.rs when it is a core mesh-llm setting.
  • Validation diagnostics in mesh/crates/mesh-llm-config/src/validate.rs, with stable ConfigPath and canonical path metadata.
  • Runtime schema aggregation/export in mesh/crates/mesh-llm-host-runtime/src/config_schema.rs.
  • Owner-control apply behavior in mesh/crates/mesh-llm-host-runtime/src/runtime/config_state.rs when it can be changed dynamically.
  • API/protocol conversion coverage in mesh/crates/mesh-llm-host-runtime/src/api/, mesh/crates/mesh-llm-host-runtime/src/protocol/, and mesh/crates/mesh-llm-protocol/proto/node.proto when it crosses process or node boundaries.
  • UI adapter and fixture coverage under mesh/crates/mesh-llm-ui/src/features/configuration/ and mesh/crates/mesh-llm-host-runtime/tests/fixtures/.

Built-In Settings Checklist

When adding or removing a built-in setting:

  • Update MeshConfig or the owning nested config struct in mesh/crates/mesh-llm-config/src/model.rs.
  • Update defaults and editor helpers in authoring.rs if generated configs, tests, or command flows need to write the setting.
  • Add, rename, or remove the corresponding descriptor in model/built_in_schema.rs. Include owner, value schema, support state, control surfaces, apply mode, restart scope, visibility, constraints, aliases, and description.
  • Update validation in validate.rs. Prefer structured ConfigDiagnostic helpers over plain string errors.
  • Preserve compatibility with existing TOML when possible. Use aliases and warnings for renamed keys; reserve version = 1 bumps for actual incompatible persisted config format changes.
  • Update schema fixtures and UI adapter expectations when exported schema JSON changes.
  • Run mesh-llm config validate --config-path <fixture> --json for at least one valid and one invalid representative file.
Show full SKILL.md (218 more words)Show less

Plugin Settings Checklist

Plugin settings are install-time schemas, not hard-coded built-in settings.

  • The plugin manifest owns its schema through config_schema in mesh/crates/mesh-llm-plugin/src/manifest.rs and mesh/crates/mesh-llm-plugin/proto/plugin.proto.
  • Keep schema_version at mesh_llm_config::SUPPORTED_PLUGIN_CONFIG_SCHEMA_VERSION unless the schema format itself becomes incompatible. Tightening validation of existing v1 fields such as required, type, enum, object, array, or constraints does not by itself require a schema version bump.
  • Host-side installed plugin schema loading and strict validation live in mesh/crates/mesh-llm-host-runtime/src/plugin/config.rs and mesh/crates/mesh-llm-config/src/plugin_validation.rs.
  • Required plugin settings must be rejected even when [plugin.settings] is absent.
  • Missing or unavailable schemas should reject custom settings, but plugin entries without custom settings should remain loadable when possible.
  • allow_unvalidated_config should produce warnings, not silently drop diagnostics from success responses.

Owner-Control And UI

  • Dynamic apply behavior belongs in mesh/crates/mesh-llm-host-runtime/src/runtime/config_state.rs.
  • The management API should return diagnostics for both rejected applies and successful applies with warnings.
  • Protobuf changes must be additive unless explicitly approved as breaking. Older nodes and clients should ignore unknown fields.
  • The UI should consume exported schema metadata instead of duplicating setting ownership, labels, constraints, or apply behavior.
  • Snapshot fixtures in mesh/crates/mesh-llm-host-runtime/tests/fixtures/ are the cross-check between Rust schema export and the TypeScript adapter.

Validation

Run cargo commands serially. For config-surface changes, start with:

bash
cargo test -p mesh-llm-config --lib
cargo test -p mesh-llm-host-runtime --lib schema_export
cargo test -p mesh-llm-host-runtime --lib runtime_config
cargo test -p mesh-llm-host-runtime --lib plugin_config
cargo test -p mesh-llm-plugin --lib
cargo test -p mesh-llm-plugin-manager --lib
cargo test -p mesh-llm-cli config_validate --lib
cargo test -p mesh-llm config_validate --lib
cargo check -p mesh-llm
cargo clippy -p mesh-llm-config -p mesh-llm-plugin -p mesh-llm-plugin-manager -p mesh-llm-host-runtime -p mesh-llm-cli -p mesh-llm --all-targets -- -D warnings

Also run the UI checks when the schema export or adapter changes:

bash
cd mesh/crates/mesh-llm-ui
npm test -- --run src/features/configuration/api/config-adapter.test.ts
npm run typecheck

Use the repo build gate before publishing broad changes:

bash
just build

© Mesh-LLM, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/config-settings-management of Mesh-LLM/mesh-llm.

Open the folder on GitHubat commit 43ddd24

Compare with similar skills

Config Settings Management next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Config Settings Management compared with similar skills
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Config Settings Management this skillMesh-LLM/mesh-llm3.5k—~1.4kAutomated safety check: PassApache-2.0
Agent BuildershareAI-lab/learn-claude-code78k4 repos~1.2kAutomated safety check: PassMIT
Add Uint Supportpytorch/pytorch104k2 repos~2.3kAutomated safety check: PassCustom licence
LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs13k8 repos~3kAutomated safety check: PassMIT
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs13k8 repos~3.3kAutomated safety check: PassMIT
1passwordtrpc-group/trpc-agent-go1.9k14 repos~656Automated safety check: PassApache-2.0

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Categories

Questions about Config Settings Management

What does Config Settings Management do?

A skill your agent uses when adding, renaming, removing, validating, or exposing mesh-llm config settings, including built-in settings, plugin config schemas, owner-control apply behavior, CLI…. Config Settings Management is an agent skill from Mesh-LLM/mesh-llm. Use this skill when adding, renaming, removing, validating, or exposing mesh-llm config settings, including built-in settings, plugin config schemas, owner-control apply behavior, CLI validation, and UI configuration surfaces.

When should I use Config Settings Management?

Config Settings Management fits situations like: exposing mesh-llm config settings; including built-in settings; plugin config schemas; owner-control apply behavior.

How do I install Config Settings Management in Claude Code?

Run `npx skills add Mesh-LLM/mesh-llm --skill config-settings-management -a claude-code`. Or copy the skill folder (.agents/skills/config-settings-management in Mesh-LLM/mesh-llm) into .claude/skills/config-settings-management in your project. Claude Code loads it when a task matches its description.

How do I install Config Settings Management in Codex?

Run `npx skills add Mesh-LLM/mesh-llm --skill config-settings-management -a codex`. Or copy the skill folder (.agents/skills/config-settings-management in Mesh-LLM/mesh-llm) into .agents/skills/config-settings-management in your project. Codex loads it when a task matches its description.

Can I use Config Settings Management in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Mesh-LLM/mesh-llm --skill config-settings-management -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/config-settings-management, .gemini/skills/config-settings-management, .github/skills/config-settings-management and .opencode/skills/config-settings-management in your project.

What does Config Settings Management need to run?

Going by SKILL.md and its folder, Config Settings Management needs the command-line tools its instructions call (cargo, npm and just).

Does Config Settings Management access the network?

SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Config Settings Management safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Config Settings Management use?

Config Settings Management is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Config Settings Management use?

About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Config Settings Management?

Skills that share tags, products or a category with Config Settings Management: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Config Settings Management?

Mesh-LLM (a GitHub organization) maintains it in Mesh-LLM/mesh-llm, which has 3,489 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on October 10, 2026.

Source: Mesh-LLM/mesh-llm on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.