A packaging tool that creates a portable starter bundle for a new learning-loop setup. It carries selected working habits and preferences rather than a complete project.

Use it to select feedback, references, preferences, or approved notes and prepare them for a fresh instance.

It makes it easier to start another instance with useful working-style information while excluding unrelated knowledge or projects.

seed — Skill 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/skills/robinslange/learning-loop/seed/github.svg)](https://agentmods.dev/skills/robinslange/learning-loop/seed)

Your own site

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

Per session 90 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 875 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	$0.00090	$0.00875
Opus 5.5	$0.00036	$0.00350
Sonnet 5.5	$0.00018	$0.00175
Haiku 4.5	$0.00009	$0.00088

Measured 1mo ago against content hash 1933ffa4fa80, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

seed 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/seed/SKILL.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Seed a fresh instance

Produces a seed-bundle-<date>/ an empty learning-loop instance can boot from via /learning-loop:init. Carries your working-style, not your knowledge or projects.

Paths

Resolve PLUGIN_DATA, VAULT, and the plugin root per ${CLAUDE_PLUGIN_ROOT}/skills-shared/paths-preamble.md (read it and apply). Resolve the auto-memory dir mechanically (do NOT hand-construct the slug):

node -e "import(process.argv[1]+'/scripts/lib/memory-paths.mjs').then(m=>console.log(m.resolveMemoryDir(process.env.CLAUDE_PROJECT_DIR)))" "$(ll-paths PLUGIN)"

Process

1. Resolve inputs

Default preset --for-job: types = ["feedback"], no vault tiers.
--types a,b overrides the type set. --tiers <tier> (e.g. 3-permanent) opts in vault notes and triggers a hard scrub (see step 4).
Default name deny-list for the scrub: project-flavored feedback. Build it mechanically — do NOT hand-curate. Pass the patterns the operator confirms; start from obvious client/product/person tokens visible in filenames.

2. Mechanical selection

Run:

ll-run seed-select.mjs <memDir> <types-csv> <deny-csv>

This returns {kept, dropped}. The type filter and name deny-list are mechanical. Do not add files the script dropped.

3. Present for consolidation (the home-brain benefit)

Show the operator the kept list and the dropped list with reasons. Ask: any kept file that is actually project-specific or personal and should be dropped? Any dropped file that is genuinely portable and should be kept? This is the consolidation moment — encourage pruning stale feedback at the source.

4. Scrub (only if --tiers used)

If vault tiers were opted in, run the candidate notes through the same scrubber harvest uses (pass PLUGIN_DATA so instance facts merge in):

ll-run harvest-scrub.mjs "<denylistFile>" "<PLUGIN_DATA>" <note-path...>

Block anything the scrub blocks. (Reuses the harvest scrubber — same mechanical gate.) A vault tier can hold hundreds of notes; if the path list is large, pipe paths on stdin instead of argv: ... harvest-scrub.mjs "<denylistFile>" "<PLUGIN_DATA>" < notes.txt. For --for-job (no tiers) this step is skipped entirely.

Read the full file on GitHub · 53 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.

1mo ago Changed 1933ffa4fa80
2mo ago First seen · 53 lines · 90 tokens per session scan A 86098d6ef5cf

Subscribe to this mod's changes

seed is a skill published in the GitHub repository robinslange/learning-loop (13 stars, last pushed 4d ago), licensed Apache-2.0. It adds 90 tokens to every session and 875 once invoked, about $0.0004 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.

seed next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
seedrobinslange/learning-loop	Skill	13	4d ago	Apache-2.0	A	90	Claude Code
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code