MoonCellar: Skill for Claude Code

.agents/skills/graphify/SKILL.md

graphify is a skill for Claude Code, Codex from MoonCellar-Team/MoonCellar. It costs 76 tokens per session (10,393 once invoked), scanned B, original, no licence file.

A codebase-analysis skill that turns code, documents, papers, images, or videos into a persistent knowledge graph. A knowledge graph records entities and their relationships so related information can be queried together.

In plain words
What is it for?
Answering questions about a codebase and exploring relationships among its files, components, and other supplied materials.
Why use it?
It provides a structured way to investigate architecture, file relationships, and project content instead of searching each item in isolation.

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 MoonCellar-Team/MoonCellar's own configuration. It tells Claude Code and Codex how to work on MoonCellar 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 MoonCellar configures →

Reuse

Borrowing it

Nothing to install: this file belongs to MoonCellar-Team/MoonCellar. 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/MoonCellar-Team/MoonCellar/main/.agents/skills/graphify/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/MoonCellar-Team/MoonCellar

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 graphify

README.md
[![agentmods](https://agentmods.dev/badge/skills/mooncellar-team/mooncellar/graphify/github.svg)](https://agentmods.dev/skills/mooncellar-team/mooncellar/graphify)
Your own site
<a href="https://agentmods.dev/skills/mooncellar-team/mooncellar/graphify"><img src="https://agentmods.dev/badge/skills/mooncellar-team/mooncellar/graphify/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 graphify

Your own site · 80×15
<a href="https://agentmods.dev/skills/mooncellar-team/mooncellar/graphify"><img src="https://agentmods.dev/badge/skills/mooncellar-team/mooncellar/graphify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 10,393 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. 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 $0.00076 $0.10393
Opus 5.5 $0.00030 $0.04157
Sonnet 5.5 $0.00015 $0.02079
Haiku 4.5 $0.00008 $0.01039

Measured yesterday against content hash 3e4d30df5a93, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

graphify scanned grade B with 1 finding 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 yesterday.

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.

Unrestricted tool accessmediumExcessive agency

A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.

If the user invoked `/graphify --help` or `/graphify -h` (with no other arguments), print the contents of the `## Usage` section above verbatim and stop. Do not run any commands, do not detect files, do not default the p
.agents/skills/graphify/SKILL.md · 714 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. yesterday First seen · 714 lines · 76 tokens per session scan B 3e4d30df5a93

Subscribe to this mod's changes

graphify is a skill published in the GitHub repository MoonCellar-Team/MoonCellar (5 stars, last pushed 4d ago), with no licence file. It adds 76 tokens to every session and 10,393 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it B with 1 finding (unrestricted tool access). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-11-07.

Related

graphify compared with skills from other repositories

graphify next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
graphifyMoonCellar-Team/MoonCellarSkill54d agononeB76Claude Code, Codex
system-promptscan1357/oh-my-piSkill38ktodayMITA40Claude Code, Codex
tool-prompt-optimizationcan1357/oh-my-piSkill38ktodayMITA0Claude Code, Codex
pyhealthsynthetic-sciences/openscienceSkill4.4kyesterdayApache-2.0A109Claude Code, Codex
deepchemsynthetic-sciences/openscienceSkill4.4kyesterdayApache-2.0A78Claude Code, Codex
together-ai-inferencesynthetic-sciences/openscienceSkill4.4kyesterdayApache-2.0A55Claude Code, Codex
shapsynthetic-sciences/openscienceSkill4.4kyesterdayApache-2.0A109Claude Code, Codex