logseq-encode-garden: Skill for Claude Code

.agents/skills/gitp-asset-gathering/SKILL.md

gitp-asset-gathering is a skill for Claude Code, Codex from codekiln/logseq-encode-garden. It costs 69 tokens per session (1,225 once invoked), scanned A, original, no licence file.

A workflow for turning an exported WAV recording and music notes into a prepared GitP episode and publication pull request.

In plain words
What is it for?
It helps create a garden episode, record MicroFreak presets, enrich notes from MIDI files and manuals, upload MP3 and preset files to B2, and prepare the publication pull request.
Why use it?
It gathers related presets and notes and prepares the files for review, while leaving listening and final publication to a person.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

This is codekiln/logseq-encode-garden's own configuration. It tells Claude Code and Codex how to work on logseq-encode-garden itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything logseq-encode-garden configures →

Reuse

Borrowing it

Nothing to install: this file belongs to codekiln/logseq-encode-garden. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/codekiln/logseq-encode-garden/main/.agents/skills/gitp-asset-gathering/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/codekiln/logseq-encode-garden

Made for: Claude Code, Codex.

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 gitp-asset-gathering

README.md
[![agentmods](https://agentmods.dev/badge/skills/codekiln/logseq-encode-garden/gitp-asset-gathering/github.svg)](https://agentmods.dev/skills/codekiln/logseq-encode-garden/gitp-asset-gathering)
Your own site
<a href="https://agentmods.dev/skills/codekiln/logseq-encode-garden/gitp-asset-gathering"><img src="https://agentmods.dev/badge/skills/codekiln/logseq-encode-garden/gitp-asset-gathering/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 gitp-asset-gathering

Your own site · 80×15
<a href="https://agentmods.dev/skills/codekiln/logseq-encode-garden/gitp-asset-gathering"><img src="https://agentmods.dev/badge/skills/codekiln/logseq-encode-garden/gitp-asset-gathering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,225 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 unknown 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 $0.00069 $0.01225
Opus 5.5 $0.00028 $0.00490
Sonnet 5.5 $0.00014 $0.00245
Haiku 4.5 $0.00007 $0.00122

Measured today against content hash 9d34f126ec1c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gitp-asset-gathering 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 today.

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.

.agents/skills/gitp-asset-gathering/SKILL.md · 112 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. today Changed · +47 lines 9d34f126ec1c
  2. 15d ago Changed · +7 lines f8a7f3ccc35a
  3. 16d ago Changed · -15 lines · -6 tokens per session af6f55b80d81
  4. 18d ago First seen · 73 lines · 75 tokens per session scan A e87a5dad20fd

Subscribe to this mod's changes

gitp-asset-gathering is a skill published in the GitHub repository codekiln/logseq-encode-garden (11 stars, last pushed today), with no licence file. It adds 69 tokens to every session and 1,225 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 2026-10-05.

Related

Other skills, from other repositories

schema-exploration

Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.

langchain-ai/deepagents · 57 tokens

mem0-oss-to-platform

Plan, then execute, a migration of a project from the mem0 open-source / self-hosted SDK (local Memory class) to the mem0 Platform / hosted SDK (MemoryClient). TRIGGER when: the developer wants to move, switch, or migrate mem0 off OSS/self-hosted to the hosted API, e.g. "migrate my mem0 setup to the platform", "switch…

mem0ai/mem0 · 217 tokens

analyze-market

Perform a market analysis for a product category or segment. Trigger on: market analysis, market size, TAM SAM SOM, market opportunity, industry analysis.

langchain-ai/deepagents · 34 tokens

haiku

When writing a haiku for this bot, follow these conventions.

agno-agi/agno · 0 tokens

holoscan-install-wheel

Install Holoscan SDK 5.x CUDA 13 Python wheels in an isolated environment, choosing the full stack or version-matched components.

NVIDIA/skills · 34 tokens

typing-exclusion-worker

Python typing exclusion worker: remove assigned mypy exclusion modules in small scoped batches, fix typing issues, run validation, and produce a structured completion summary. Use when running parallel typing-debt workers or when asked to remove modules from pyproject mypy exclusion overrides.

getsentry/skills · 57 tokens