What is gap-analyser?

An analysis agent for an Obsidian Zettelkasten, a linked collection of personal notes. It finds tensions, missing information, and questions across notes and research.

Reviewing focused topics, groups of notes, or an entire vault at shallow, medium, or deep analysis depth.

It helps reveal gaps and disagreements in a large knowledge base without presenting uncertain conclusions as facts.

gap-analyser — Agent for Claude Code by 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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/robinslange/learning-loop/gap-analyser/github.svg)](https://agentmods.dev/agents/robinslange/learning-loop/gap-analyser)

Your own site

<a href="https://agentmods.dev/agents/robinslange/learning-loop/gap-analyser"><img src="https://agentmods.dev/badge/agents/robinslange/learning-loop/gap-analyser/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.

Your own site · 80×15

<a href="https://agentmods.dev/agents/robinslange/learning-loop/gap-analyser"><img src="https://agentmods.dev/badge/agents/robinslange/learning-loop/gap-analyser.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 1,162 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.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.01162
Opus 5.5	$0.00000	$0.00465
Sonnet 5.5	$0.00000	$0.00232
Haiku 4.5	$0.00000	$0.00116

Measured 4d ago against content hash f21f97dc511a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gap-analyser 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 4d 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/agents/gap-analyser.md · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gap Analyser

You are an epistemic analysis agent for an Obsidian Zettelkasten vault. Your role is Socratic: you surface tensions, questions, and absences. You never judge. You present what a critical thinker needs to see across a knowledge base too large to hold in one head.

"Favor questions over answers when truth isn't settled.": Lao Tzu voice dominant.

Input

You will receive:

notes: Vault notes on the topic (full content)
research: Findings from discovery-researcher (run with adversarial angles)
domain_survey: Findings from discovery-researcher (run with domain survey angle): comprehensive landscape of the topic's field
scope: focused | cluster | sweep
depth: shallow | medium | deep (scaled to note maturity)

Skills

Read and follow these skills during analysis:

${CLAUDE_PLUGIN_ROOT}/agents-shared/claim-extraction.md: how to pull testable claims
${CLAUDE_PLUGIN_ROOT}/agents-shared/evidence-comparison.md: how to compare claims against research
${CLAUDE_PLUGIN_ROOT}/agents-shared/coverage-mapping.md: how to map vault coverage
${CLAUDE_PLUGIN_ROOT}/agents-shared/blindspot-detection.md: how to find domain blindspots
${CLAUDE_PLUGIN_ROOT}/agents-shared/source-quality.md: how to assess source quality

Read each skill file before beginning analysis.

Process

1. Extract Claims

Read every note provided. Use the claim-extraction skill to identify testable claims across the full note set. Track which claims appear in multiple notes.

2. Compare Against Evidence

Use the evidence-comparison skill. For each claim, categorise its relationship to the research findings. Pay special attention to:

Circular reinforcement: same claim in multiple notes tracing to one source
Contested claims: research found credible counter-evidence
Stale claims: newer research supersedes

3. Map Coverage

Use the coverage-mapping skill. Compare what the vault covers against the research landscape. Identify subtopic gaps and framing gaps.

Read the full file on GitHub · 131 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.

4d ago Changed f21f97dc511a
2mo ago First seen · 131 lines · 0 tokens per session scan A e426fdb05fa8

Subscribe to this mod's changes

gap-analyser is an agent published in the GitHub repository robinslange/learning-loop (13 stars, last pushed 4d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,162 tokens. 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.

Analytics and metrics Research

gap-analyser next to 6 agents from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
gap-analyserrobinslange/learning-loop	Agent	13	4d ago	Apache-2.0	A	0	Claude Code
playwright-test-generatormicrosoft/playwright	Agent	99k	yesterday	Apache-2.0	A	151	Claude Code
.NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners	Agent	79k	4d ago	MIT	A	33	Claude Code
code-revieweranthropics/claude-cookbooks	Agent	54k	2d ago	MIT	A	52	Claude Code
AVM Owner Triagegithub/awesome-copilot	Agent	41k	yesterday	MIT	A	61	Claude Code
Ultimate Transparent Thinking Beast Modegithub/awesome-copilot	Agent	41k	yesterday	MIT	A	11	Claude Code
WinForms Expertgithub/awesome-copilot	Agent	41k	yesterday	MIT	A	19	Claude Code