mt-publish

mt-publish is a skill for Claude Code, Codex from hanyki111/memory_tool. It costs 51 tokens per session (1,184 once invoked), scanned A, original, MIT.

A module-publishing workflow that turns project-specific technical knowledge into reusable material for a central knowledge base.

In plain words
What is it for?
Reviewing a module, generalizing its architecture and examples, documenting dependencies, and publishing the refined knowledge.
Why use it?
It removes project-specific details and makes useful patterns, solutions, and decisions easier to share across projects.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/hanyki111/memory_tool/mt-publish
Any agent
npx skills add hanyki111/memory_tool --skill mt-publish
Clone the repo
git clone --depth 1 https://github.com/hanyki111/memory_tool

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 mt-publish

README.md
[![agentmods](https://agentmods.dev/badge/skills/hanyki111/memory_tool/mt-publish.svg)](https://agentmods.dev/skills/hanyki111/memory_tool/mt-publish)
Your own site
<a href="https://agentmods.dev/skills/hanyki111/memory_tool/mt-publish"><img src="https://agentmods.dev/badge/skills/hanyki111/memory_tool/mt-publish.svg" alt="Measured on agentmods" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,184 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00051 $0.01184
Opus 5 $0.00026 $0.00592
Sonnet 5 $0.00010 $0.00237
Haiku 4.5 $0.00005 $0.00118

Measured 5d ago against content hash b633ed03a235, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mt-publish 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 5d 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.

.claude/skills/mt-publish/SKILL.md · 204 lines

How it starts

The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MT-Publish: Module Publisher

"Execution should be isolated, but Knowledge must be federated."

This skill helps refine a specific module's knowledge into reusable, context-independent artifacts and publish them to the central Knowledge Base.

When to Use

  • User explicitly requests: "KB에 발행해줘", "publish to KB", "모듈 발행해줘"
  • User wants to share a specific module's learnings
  • Module is mature and worth preserving

For project-wide overview, use mt-master-module instead.

Workflow

Phase 1: Analyze (분석)

Review target module:

cat .memory/modules/<path>/current.md
cat .memory/modules/<path>/decisions.md
cat .memory/modules/<path>/module.md

Identify publishable content:

  • Core patterns and architectures
  • Reusable solutions
  • Key decisions with rationale

Phase 2: Refine (정제)

De-contextualization:

  • Remove project-specific paths, variable names
  • Generalize code examples
  • Make dependencies explicit

Before (project-specific):

from myproject.auth import JWTHandler
db = connect("postgres://myproject:pass@localhost/mydb")

After (generalized):

# Requires: pyjwt, psycopg2
from auth_module import JWTHandler  # Your JWT implementation
db = connect(DATABASE_URL)  # Set via environment variable

Add explicit dependencies:

## Prerequisites
- Python 3.10+
- PostgreSQL 14+
- Required packages: pyjwt, psycopg2

Phase 3: Validate (검증)

Self-check question:

"이 문서만 보고, 빈 프로젝트에서 해당 기능을 구현할 수 있는가?"

If missing information, add:

  • Environment variables needed
  • Database schema
  • External service setup
  • Configuration files

Phase 4: Publish (발행)

Preview first:

mpublish <module-name> --dry-run

Publish with metadata:

mpublish <module-name> --tags auth,security,jwt

Verify:

mimport --list
KB Path Structure

mpublish creates files at:

{KB_PATH}/modules/{category}/{project_name}/{module_name}/
Parameter Default Description
category Projects Use --category Topics for topic-based modules
project_name Auto-detected From directory name or config.yaml
module_name Local module name e.g., search-system

Read the full file on GitHub · 204 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.

  1. 5d ago First seen · 204 lines · 51 tokens per session scan A b633ed03a235

Subscribe to this mod's changes

mt-publish is a skill published in the GitHub repository hanyki111/memory_tool (11 stars, last pushed 10d ago), licensed MIT. It adds 51 tokens to every session and 1,184 once invoked, about $0.0003 per session on Opus 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.

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