Skill

tool-inventory-init

Interactive Tool Inventory bootstrap. Use this when initializing a new project repo to configure the semantic tracking of Python/JS tools. It creates a dedicated RLM profile specifically for tools and performs the first intelligent distillation pass.

From tool-inventory

Install

Run in your terminal

npx claudepluginhub richfrem/agent-plugins-skills --plugin tool-inventory

Tool Access

This skill is limited to using the following tools:

BashReadWrite

Supporting Assets

View in Repository

acceptance-criteria.md

assets/resources/RLM_TOOL_STRATEGY_ANALYSIS.md

assets/resources/manifest-index.json

assets/resources/prompts/rlm/rlm_summarize_tool.md

assets/resources/rlm_manifest.json

evals/evals.json

evals/results.tsv

references/acceptance-criteria.md

requirements.txt

scripts/manage_tool_inventory.py

scripts/tool_inventory_init.py

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Stats

Parent Repo Stars1

Parent Repo Forks1

Last CommitApr 4, 2026

Actions

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Dependencies

This skill requires Python 3.8+ and standard library only. No external packages needed.

To install this skill's dependencies:

pip-compile ./requirements.in
pip install -r ./requirements.txt

See ./requirements.txt for the dependency lockfile (currently empty — standard library only).

Tool Inventory Init: The Librarian's Setup 🛠️

Initialize the semantic Tool Inventory for a new project. This is the first-run workflow for tracking executable scripts.

Architecture Note: This skill delegates the actual data storage and generation to the rlm-factory plugin, but it strongly enforces a pre-configured schema specifically for plugins/ and plugins/ scripts.

When to Use

Setting up Agent Skills inside a new root project repository.
Rebuilding the tool inventory ledger from scratch after severe corruption.
Moving from legacy JSON-only tracking to modern RLM tracking.

Interactive Setup Protocol

Step 1: Execute Initialization Script

Run the automated bootstrapping script. This script will ensure .agent/learning/rlm_profiles.json exists and will inject a tools profile if it doesn't.

python3 ./scripts/tool_inventory_init.py

Step 2: Serial Agent Distillation

The script above creates the target manifest, but YOU (the Agent) will execute the initial distillation pass if Ollama is unavailable, or you can delegate to batch mode if the project is massive.

Check what needs to be cached using the auditor:

# Hand off to the rlm-factory namespace
Trigger the 'rlm-curator' skill

If there are uncached tools:

Option A (Agent Distillation) - Recommended for < 20 tools: For each file identified as missing:

Read the tool script.
Summarize its purpose, layer, and CLI usage.
Trigger the 'rlm-curator' skill to inject the summary

Option B (Batch Distillation) - Recommended for > 20 tools:

# Hand off to the rlm-factory namespace
Trigger the 'rlm-distill-agent' skill

Step 3: Verify

Run the audit again to confirm 100% coverage:

# Hand off to the rlm-factory namespace
Trigger the 'rlm-curator' skill

After Init

The semantic registry is now active. You no longer need to run this command.
Use manage_tool_inventory.py (inside the tool-inventory skill) to register single new scripts organically during development.