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.
git clone --depth 1 https://github.com/robinslange/learning-loopWrote 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.
[](https://agentmods.dev/plugins/robinslange/learning-loop/plugin)<a href="https://agentmods.dev/plugins/robinslange/learning-loop/plugin"><img src="https://agentmods.dev/badge/plugins/robinslange/learning-loop/plugin/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.
<a href="https://agentmods.dev/plugins/robinslange/learning-loop/plugin"><img src="https://agentmods.dev/badge/plugins/robinslange/learning-loop/plugin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
learning-loop 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 17d 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.
What it actually says
{
"name": "learning-loop",
"version": "2.4.0",
"description": "Self-improving learning loop across Claude sessions: retrieval, capture, consolidation, and cross-project transfer",
"author": {
"name": "omit",
"url": "https://omit.nz"
},
"repository": "https://github.com/robinslange/learning-loop",
"license": "Apache-2.0",
"keywords": ["learning", "knowledge-management", "zettelkasten", "obsidian", "second-brain"]
}
What it installs
The manifest is a name and a version. 24 skills, 20 agents, 7 hooks travel with it, and installing the plugin installs all of them — 2,243 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill doctor A 58 tokens
- Skill health A 81 tokens
- Skill reflect A 46 tokens
- Skill verify A 52 tokens
- Skill federation A 58 tokens
- Skill help A 23 tokens
- Skill gaps A 94 tokens
- Skill inbox A 90 tokens
- Skill rewrite A 67 tokens
- Skill dream A 66 tokens
- Skill quick A 63 tokens
- Skill deepen A 56 tokens
- Skill harvest A 86 tokens
- Skill diagram A 54 tokens
- Skill init A 56 tokens
- Skill quick-note A 60 tokens
- Skill seed A 90 tokens
- Skill literature A 56 tokens
- Skill dream-eval A 81 tokens
- Skill discovery B 56 tokens
- Skill refresh B 61 tokens
- Skill research B 66 tokens
- Skill ingest C 119 tokens
- Skill uninstall C 0 tokens
- Agent inbox-organiser A 84 tokens
- Agent discovery-researcher A 24 tokens
- Agent note-verifier A 51 tokens
- Agent note-writer A 0 tokens
- Agent refinement-proposer A 36 tokens
- Agent note-deepener A 42 tokens
- Agent note-scorer A 33 tokens
- Agent correction-analyser A 49 tokens
- Agent literature-capturer A 44 tokens
- Agent gap-analyser A 0 tokens
- Agent ingest-mapper-stack A 42 tokens
- Agent discovery-vault-scout A 37 tokens
- Agent ingest-mapper-arch A 46 tokens
- Agent ingest-mapper-conventions A 40 tokens
- Agent ingest-mapper-domain A 43 tokens
- Agent ingest-synthesizer A 38 tokens
- Agent ingest-mapper-state A 43 tokens
- Agent ingest-linear A 29 tokens
- Agent ingest-repo A 23 tokens
- Agent ingest-context A 0 tokens
- Hook PostToolUse A not measured
- Hook PreToolUse A not measured
- Hook Stop A not measured
- Hook SessionStart A not measured
- Hook SubagentStop A not measured
- Hook UserPromptSubmit A not measured
- Hook SessionEnd A not measured
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.
- 17d ago Changed 93214350fe75
- 1mo ago Changed 9b8645dc12d0
- 1mo ago Changed 4242052a28c9
- 1mo ago Changed 353831f821db
- 1mo ago Changed 517d74f8aafa
- 1mo ago Changed 7c6edc991103
- 1mo ago Changed 9a3863346a31
- 1mo ago Changed b962c12f7920
- 1mo ago Changed 6bae112653db
- 1mo ago First seen · 13 lines scan A 043e337f09cd
learning-loop is a plugin published in the GitHub repository robinslange/learning-loop (13 stars, last pushed 4d ago), licensed Apache-2.0. Its token cost is not measured: this kind of file is read by the harness, not the model. 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.
learning-loop compared with plugins from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| learning-looprobinslange/learning-loop | Plugin | 13 | 4d ago | Apache-2.0 | A | — | Claude Code |
| open-knowledge-vaultglebis/claude-skills | Plugin | 409 | yesterday | MIT | A | — | Claude Code |
| knowledge-and-memoryoaustegard/claude-skills | Plugin | 158 | 4d ago | MIT | A | — | Claude Code |
| paimnott/PAI | Plugin | 67 | 7d ago | MIT | A | — | Claude Code |
| tree-ring-memoryTerminallyLazy/Tree-Ring-Memory | Plugin | 22 | 1mo ago | MIT | A | — | Claude Code |
| claude-mega-brainguhcostan/claude-mega-brain | Plugin | 127 | 3mo ago | MIT | A | — | Claude Code |
| vault-templateballred/obsidian-claude-pkm | Plugin | 1.9k | 8mo ago | MIT | A | — | Claude Code |