A first-time setup and upgrade workflow for the learning-loop plugin, including its note-vault location, writing persona, project instructions, and installation checks.

Use it when installing or upgrading learning-loop, configuring its vault and project integration, checking dependencies, or handing setup over to federation.

It prevents setup steps from being missed and can safely resume by detecting which parts are already configured.

init — Skill by robinslange

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods

npx agentmods add skills/robinslange/learning-loop/init

Any agent

npx skills add robinslange/learning-loop --skill init

Clone the repo

git clone --depth 1 https://github.com/robinslange/learning-loop

Made for: Claude Code, Codex.

Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 807 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. Scan, not verified.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5	$0.00056	$0.00807
Opus 5	$0.00028	$0.00404
Sonnet 5	$0.00011	$0.00161
Haiku 4.5	$0.00006	$0.00081

Measured yesterday against content hash 4c2c2a74ad50, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

init scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

All operations use Node.js APIs (fs, path, child_process). No bash `find`, no shell globbing for detection.

plugin/skills/init/SKILL.md · 63 lines

How it starts

The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Init: Learning Loop Setup

Eight-phase detect-confirm-apply flow. One question at a time. Safe to re-run: detects existing state and skips completed steps.

All operations use Node.js APIs (fs, path, child_process). No bash find, no shell globbing for detection.

Paths

Resolve PLUGIN_DATA, VAULT, and the plugin root per ${CLAUDE_PLUGIN_ROOT}/skills-shared/paths-preamble.md (read it and apply). Use those resolved values for ALL path references in the phase files.

Process

Read each phase file in order and execute its instructions. After Phase 1's dashboard, only enter the phases the dashboard reports as needing work.

Read ${CLAUDE_PLUGIN_ROOT}/skills/init/phases/01-detect.md -- detect state, present dashboard. If everything is configured, stop here.
Read ${CLAUDE_PLUGIN_ROOT}/skills/init/phases/02-vault.md -- vault path, folders, system files.
Read ${CLAUDE_PLUGIN_ROOT}/skills/init/phases/03-binary.md -- binary, vendor deps, orphan cleanup, index, shims, plugin deps.
Read ${CLAUDE_PLUGIN_ROOT}/skills/init/phases/04-federation.md -- single yes/no, hands off to /learning-loop:federation for the full flow.
Read ${CLAUDE_PLUGIN_ROOT}/skills/init/phases/05-claudemd.md -- CLAUDE.md integration.
Read ${CLAUDE_PLUGIN_ROOT}/skills/init/phases/06-cache-health.md -- optional cache-health statusline.
Read ${CLAUDE_PLUGIN_ROOT}/skills/init/phases/07-librarian.md -- optional librarian background agent (incl. 7d: optional GLM Verify-offload provider for /learning-loop:research).
Read ${CLAUDE_PLUGIN_ROOT}/skills/init/phases/08-seed-restore.md -- restore a seed bundle if present and seed the harvest deny-list.

After all phases complete, present the summary below.

Summary

Learning loop configured.

  Vault:        [path] ([N] notes)
  Folders:      [N]/7 present
  Binary:       ll-search vX.Y
  Search:       [N] notes indexed
  Federation:   [configured | deferred to /learning-loop:federation | not requested]
  CLAUDE.md:    [status]
  Cache health: [installed | skipped: oh-my-claude not found]
  Librarian:    [enabled | skipped: ollama/hardware not available]
  Seed restore: [restored from bundle | no bundle present]
  Harvest list: [seeded | empty (personal instance)]
  Shims:        ll-watch + ll-search installed in ~/.local/bin

Start the watcher with: ll-watch
Run /learning-loop:help to see available commands.

Read the full file on GitHub · 63 lines

Files

What ships with it

8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

yesterday First seen · 63 lines · 56 tokens per session scan A 4c2c2a74ad50

Subscribe to this mod's changes

init is a skill published in the GitHub repository robinslange/learning-loop (11 stars, last pushed 10d ago), licensed Apache-2.0. It adds 56 tokens to every session and 807 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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