deepen

deepen is a skill for Claude Code from robinslange/learning-loop. It costs 56 tokens per session (1,136 once invoked), scanned A, original, Apache-2.0.

A research and editing command for strengthening one note in a personal knowledge vault. It checks how complete the note is, fills important gaps, verifies sources, and moves it forward when ready.

In plain words
What is it for?
Use it on a named note or let it choose the shallowest inbox note, then research missing context, rewrite the note in the vault's style, and record where the information came from.
Why use it?
It helps turn thin or poorly supported notes into clearer, better-sourced material without requiring the user to decide how much research each note needs.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: mentions subagents.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the learning-loop plugin — 24 skills, 20 agents, 7 hooks shipped together

Good fit Use it on a named note or let it choose the shallowest inbox note, then research missing context, rewrite the note in the vault's style, and record where the information came from.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add robinslange/learning-loop
Claude Code
/plugin install learning-loop

Made for: Claude Code.

Or install learning-loop, the plugin that ships this one along with the rest of its 24 skills, 20 agents, 7 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for deepen

README.md
[![agentmods](https://agentmods.dev/badge/skills/robinslange/learning-loop/deepen/github.svg)](https://agentmods.dev/skills/robinslange/learning-loop/deepen)
Your own site
<a href="https://agentmods.dev/skills/robinslange/learning-loop/deepen"><img src="https://agentmods.dev/badge/skills/robinslange/learning-loop/deepen/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for deepen

Your own site · 80×15
<a href="https://agentmods.dev/skills/robinslange/learning-loop/deepen"><img src="https://agentmods.dev/badge/skills/robinslange/learning-loop/deepen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,136 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00056 $0.01136
Opus 5.5 $0.00022 $0.00454
Sonnet 5.5 $0.00011 $0.00227
Haiku 4.5 $0.00006 $0.00114

Measured 1mo ago against content hash 0800ed070afc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

deepen scanned grade A with 0 findings 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 1mo ago.

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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugin/skills/deepen/SKILL.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deepen: Research and Enrichment

Overview

Launches the note-deepener agent to strengthen a single note. The agent assesses maturity, researches gaps scaled to need, rewrites in persona voice, verifies sources, and promotes when ready. Shallow notes get heavy research; deep notes get a light touch.

When to Use

  • /deepen <note-name>: target a specific note
  • /deepen: no argument; auto-picks the note most in need of work — the shallowest 0-inbox/ note OR a gate-demoted 1-fleeting/ note (verification markers / source: unverified) that has no other resurfacing path
  • When /inbox flags a note as needing deepening (including the fleeting NEEDS-DEEPEN recommendations)
  • When a note feels thin and the user wants to strengthen it

Provenance

This skill emits provenance events for pipeline observability. Run each Bash command silently.

At session start:

ll-run provenance-emit.js '{"agent":"deepen","skill":"deepen","action":"session-start","target":"NOTE_FILENAME"}'

At session end. target is a vault path and never exported, so it is dropped here (session-start still carries it, since correlating the run to its note by session_id happens locally, not on the export path). Include the common outcome shape: items_in (1, one note per deepen run), items_out (1 if promoted else 0), items_flagged (0), duration_ms:

ll-run provenance-emit.js '{"agent":"deepen","skill":"deepen","action":"session-end","promoted":true|false,"items_in":1,"items_out":N,"items_flagged":0,"duration_ms":N}'

Per-note tracking is handled automatically by the PostToolUse hook.

Process

Step 0: Parameter Resolution

No argument (/deepen): Run auto-pick immediately (the agent picks the note most in need of work — the shallowest inbox note OR a gate-demoted marker-bearing 1-fleeting/ note — no prompting needed). After presenting results, mention the targeted form in one line:

Deepened [note]. To target a specific note: /deepen "note name".

Read the full file on GitHub · 81 lines

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.

  1. 1mo ago Changed 0800ed070afc
  2. 1mo ago Changed 0e0e3a054a16
  3. 1mo ago Changed · -2 lines 343912fcf653
  4. 1mo ago Changed · +2 lines fe45d79242f9
  5. 2mo ago First seen · 81 lines · 56 tokens per session scan A a6c5080428d5

Subscribe to this mod's changes

deepen is a skill published in the GitHub repository robinslange/learning-loop (13 stars, last pushed 4d ago), licensed Apache-2.0. It adds 56 tokens to every session and 1,136 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

deepen compared with skills from other repositories

deepen next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
deepenrobinslange/learning-loopSkill134d agoApache-2.0A56Claude Code
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code