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health

health is a skill for Claude Code from robinslange/learning-loop. It costs 81 tokens per session (4,969 once invoked), scanned A, original, Apache-2.0.

A dashboard for checking the condition of a personal knowledge store, such as missing links, duplicate notes, abandoned notes, and incomplete search data.

In plain words
What is it for?
Use it for quick checks, deeper note analysis, automatic cleanup of safe issues, or reviewing activity and maintenance queues.
Why use it?
A growing collection can develop errors and clutter that are hard to spot manually. The dashboard shows these problems and can safely fix some of them when asked.

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

not rated 13repo changed 1mo ago A scan 81 tokens original Apache-2.0

Good fit Use it for quick checks, deeper note analysis, automatic cleanup of safe issues, or reviewing activity and maintenance queues.

Compare 6 skills from other repositories ↓
View source ↗ robinslange/learning-loop
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 health

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/robinslange/learning-loop/health"><img src="https://agentmods.dev/badge/skills/robinslange/learning-loop/health.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,969 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 $0.00081 $0.04969
Opus 5.5 $0.00032 $0.01988
Sonnet 5.5 $0.00016 $0.00994
Haiku 4.5 $0.00008 $0.00497

Measured 1mo ago against content hash e590233edb7d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

health 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/health/SKILL.md · 365 lines

How it starts

The opening of the file, as written. The whole thing — 365 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Health: Vault Health Dashboard

Overview

Quick-check command that surfaces vault hygiene issues: ghost duplicates, near-duplicate pairs, orphan notes, stale inbox entries, embedding gaps, and broken wikilinks. Fast by default, deep on demand, with optional auto-fix for safe operations.

When to Use

  • /health or /health --light: quick vault status check (default)
  • /health --deep: full diagnostic with note-scorer analysis
  • /health --auto: auto-fix safe issues (combinable with either mode)
  • After a burst of /reflect sessions
  • Before /inbox to see what needs attention
  • Periodic maintenance

Argument Parsing

Input Mode Auto-fix
/health light no
/health --light light no
/health --deep deep no
/health --auto light yes
/health --deep --auto deep yes
/health --provenance provenance no
/health --librarian librarian no

Process

Step 0: Parameter Resolution

No arguments (/health): Run light mode immediately (fast, no prompting needed: it's the default and completes in seconds). Teach the other modes through results, not upfront prompting.

But after presenting results, if issues were found, mention available modes:

Found N issues. Options:

  • /health --deep: full analysis with note scoring
  • /health --auto: auto-fix safe issues (ghost dupes, broken links)
  • /health --provenance: pipeline observability (fabrication rates, agent stats)
  • /health --deep --auto: both

This teaches the modes through use rather than upfront prompting.

Step 0.5: Mode Dispatch (--provenance / --librarian)

If one of these flags is present, skip all vault health checks and execute the matching mode file, then stop (do not proceed to Step 1):

  • --provenance: read ${CLAUDE_PLUGIN_ROOT}/skills/health/modes/provenance.md and execute it.
  • --librarian: read ${CLAUDE_PLUGIN_ROOT}/skills/health/modes/librarian.md and execute it.

Read the full file on GitHub · 365 lines

Files

What ships with it

2 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.

  1. 1mo ago Changed e590233edb7d
  2. 1mo ago Changed · +15 lines ad4f9a84a0f1
  3. 1mo ago Changed · +14 lines 682a6cbd852d
  4. 1mo ago Changed · +10 lines c02ad99a1bcf
  5. 1mo ago Changed 07cd327db6c5
  6. 1mo ago Changed · -1 lines f20a27553ca7
  7. 1mo ago Changed · +5 lines e04fd494ea8a
  8. 2mo ago Changed · +24 lines 814064260c27
  9. 2mo ago Changed 75dbd6a8f8d3
  10. 2mo ago First seen · 298 lines · 81 tokens per session scan A ad3d06af54a3

Subscribe to this mod's changes

health is a skill published in the GitHub repository robinslange/learning-loop (13 stars, last pushed 4d ago), licensed Apache-2.0. It adds 81 tokens to every session and 4,969 once invoked, about $0.0003 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.

Memory and context
Related

health compared with skills from other repositories

health next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
healthrobinslange/learning-loopSkill134d agoApache-2.0A81Claude Code
knowledge-ingestopenclaw/openclawSkill394kyesterdayMITA80Claude Code, Codex
mem0-oss-to-platformmem0ai/mem0Skill68k2d agoApache-2.0A217Claude Code, Codex
forgetasgeirtj/system_prompts_leaksSkill71k2d agoCC0-1.0A74Claude Code, Codex
Cortexdanielmiessler/LifeOSSkill20kyesterdayMITA184Claude Code
memoryopensquilla/opensquillaSkill7.1k6d agoApache-2.0A44Claude Code, Codex
ha-data-storesshiwenwen/hope-agentSkill1.9kyesterdayMITA115Claude Code, Codex