Baoyu URL To Markdown
sdyckjq-lab/llm-wiki-skill
Fetch any URL and convert to markdown using Chrome CDP. An agent skill from sdyckjq-lab/llm-wiki-skill.
Refresh the raytsystem code graph so it reflects every current file, then confirm it is up to date.
Install Graph
$ npx skills add romarayt/raytsystem-public-os --skill graph -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install romarayt/raytsystem-public-os graph --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/romarayt/raytsystem-public-os.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/graph .claude/skills/graph && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "graph" agent skill from https://github.com/romarayt/raytsystem-public-os/tree/main/skills/graph into .claude/skills/graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graph", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/romarayt/raytsystem-public-os/tree/main/skills/graphType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add romarayt/raytsystem-public-os --skill graph -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install romarayt/raytsystem-public-os graph --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/romarayt/raytsystem-public-os.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/graph .agents/skills/graph && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "graph" agent skill from https://github.com/romarayt/raytsystem-public-os/tree/main/skills/graph into .agents/skills/graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graph", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add romarayt/raytsystem-public-os --skill graph -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install romarayt/raytsystem-public-os graph --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/romarayt/raytsystem-public-os.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/graph .cursor/skills/graph && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "graph" agent skill from https://github.com/romarayt/raytsystem-public-os/tree/main/skills/graph into .cursor/skills/graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graph", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/romarayt/raytsystem-public-os.git --path skills/graph--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add romarayt/raytsystem-public-os --skill graph -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install romarayt/raytsystem-public-os graph --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/romarayt/raytsystem-public-os.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/graph .gemini/skills/graph && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "graph" agent skill from https://github.com/romarayt/raytsystem-public-os/tree/main/skills/graph into .gemini/skills/graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graph", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install romarayt/raytsystem-public-os graphInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add romarayt/raytsystem-public-os --skill graph -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/romarayt/raytsystem-public-os.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/graph .github/skills/graph && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "graph" agent skill from https://github.com/romarayt/raytsystem-public-os/tree/main/skills/graph into .github/skills/graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graph", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add romarayt/raytsystem-public-os --skill graph -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install romarayt/raytsystem-public-os graph --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/romarayt/raytsystem-public-os.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/graph .opencode/skills/graph && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "graph" agent skill from https://github.com/romarayt/raytsystem-public-os/tree/main/skills/graph into .opencode/skills/graph/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "graph", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
graph- GitHub stars
- 150
- Token cost
- ~527 tokens
- SKILL.md length
- 201 words
- Files
- 1
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Refresh the raytsystem code graph so it reflects every current file, then confirm it is up to date.
- Works in 3 steps: Check freshness → Refresh → Confirm
- Update the graph
- SKILL.md covers Step 1 — Check freshness, Step 2 — Refresh, Step 3 — Confirm and Optional — refresh the…, plus 1 more section
- Calls uv
What it does
Graph is an agent skill from romarayt/raytsystem-public-os. Refresh the raytsystem code graph so it reflects every current file, then confirm it is up to date. Use for "graph", "update the graph", "refresh the graph", "rebuild the graph", "make the graph current", "index all files", "обнови граф", "перестрой граф", "актуализируй граф". Writes only the disposable .raytsystem/graph/ plane; never mutates canonical knowledge.
Its SKILL.md is about 530 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Knowledge Management. The repository describes itself as: Local-first agent workspace for knowledge, tasks, documents and verifiable workflows · Локальная агентная система для знаний, задач и проверяемых процессов · t.me/romarayt. The licence is Apache-2.0.
When your agent uses it
- Update the graph
- Refresh the graph
- Rebuild the graph
- Make the graph current
Example prompts
- “update the graph”
- “refresh the graph”
- “rebuild the graph”
- “/graph”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit b5ac705. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
uv
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Graph loads about 527 tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 201 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from romarayt/raytsystem-public-os at commit b5ac705, republished under its Apache-2.0 licence (© romarayt). 201 words, ~527 tokens.
Download SKILL.mdSave it as
.claude/skills/graph/SKILL.md (or your agent's skills folder).- name
- graph
- description
- Refresh the raytsystem code graph so it reflects every current file, then confirm it is up to date. Use for "graph", "update the graph", "refresh the graph", "rebuild the graph", "make the graph current", "index all files", "обнови граф", "перестрой граф", "актуализируй граф". Writes only the disposable .raytsystem/graph/ plane; never mutates canonical knowledge.
graph — keep the graph current
Refreshes the derived code graph so architecture, impact and navigation queries reflect the actual
files on disk. This writes only the disposable .raytsystem/graph/ plane — it can never mutate
canonical knowledge, _raw/, or the ledger. Report results to the user in plain terms.
Step 1 — Check freshness
uv run raytsystem graph status --root <TARGET_PATH> --jsonRead state and changed_files. current means nothing to do — tell the user it is already up to
date. stale or missing means a refresh is needed.
Step 2 — Refresh
- Incremental (default — fast, handles changed and deleted files):
bash uv run raytsystem graph update --root <TARGET_PATH> --json - Full rebuild (when the graph is missing, or the user wants a complete rebuild from scratch):
bash uv run raytsystem graph rebuild --root <TARGET_PATH> --json
Step 3 — Confirm
uv run raytsystem graph status --root <TARGET_PATH> --jsonConfirm state is now current and report the node/edge/file counts. If it is still stale, run the
full rebuild in step 2.
Optional — refresh the knowledge projections too
The code graph and the knowledge graph are separate. To also rebuild the FTS5 index and the
knowledge projections (knowledge/graph.json, index.md, hot.md) from canonical knowledge:
uv run raytsystem rebuild-index --root <TARGET_PATH> --jsonNever do
- Never treat the derived graph as canonical truth — it is rebuildable, not a source of record.
- Never rebuild the graph as a side effect of a read-only question; only refresh when asked.
- Never push, publish, or send anything externally.
© romarayt, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/graph of romarayt/raytsystem-public-os.
Open the folder on GitHubat commit b5ac705
Compare with similar skills
Graph next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Graph this skillromarayt/raytsystem-public-os | 150 | — | ~527 | Automated safety check: Pass | Apache-2.0 | |
| Baoyu URL To Markdownsdyckjq-lab/llm-wiki-skill | 2.5k | 3 repos | ~3.2k | Automated safety check: Pass | None | |
| Logseq Review Workflow Evallogseq/logseq | 45k | — | ~1k | Automated safety check: Pass | AGPL-3.0 | |
| Obsidian CLIAtmosphere/atmosphere | 3.8k | 13 repos | ~795 | Automated safety check: Pass | Apache-2.0 | |
| Esm Cjs Risk Scanlogseq/logseq | 45k | — | ~3.3k | Automated safety check: Pass | AGPL-3.0 | |
| Capture Conversationoutline/outline | 41k | — | ~474 | Automated safety check: Pass | Custom licence |
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Interact with Obsidian vaults using the Obsidian CLI to read, create, search, and manage notes, tasks, properties, and more.
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Scan Logseq ClojureScript Node/Electron targets for npm module loading risks, especially ESM-only packages that may fail when loaded through js/require or shadow-cljs require-based shims.
Capture Conversation
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Save the current conversation, a decision, or a set of notes as a document in an Outline collection; use when the user wants to keep what was discussed in their knowledge base.
Karpathy LLM Wiki
Astro-Han/karpathy-llm-wiki
A skill your agent uses when building or maintaining a personal LLM-powered knowledge base.
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Get raytsystem running in a repository — install it if needed, then launch the interface.
Raytsystem Watch
romarayt/raytsystem-public-os
Inspect video, audio, or supplied transcripts through raytsystem Tool Hub and return evidence-bound speech, visual, OCR, action, transition, and timeline findings.
Raytsystem Ingest
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Capture, normalize, propose, validate, and safely promote workspace-local Markdown, text, JSON/JSONL, CSV/TSV, images, or text-bearing PDFs into raytsystem.
Raytsystem Lint
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Run deterministic integrity, provenance, projection, link, alias, operation, and secret checks over raytsystem.
Raytsystem Query
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Answer questions from the active raytsystem generation using local FTS5 retrieval, canonical record rehydration, verified source spans, and explicit gaps.
Raytsystem Research
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Perform bounded source research for raytsystem and return provenance-rich evidence proposals without canonical writes.
Related
Categories
Questions about Graph
What does Graph do?
Refresh the raytsystem code graph so it reflects every current file, then confirm it is up to date. Graph is an agent skill from romarayt/raytsystem-public-os. Refresh the raytsystem code graph so it reflects every current file, then confirm it is up to date.
When should I use Graph?
Graph fits situations like: update the graph; refresh the graph; rebuild the graph; make the graph current.
How do I install Graph in Claude Code?
Run `npx skills add romarayt/raytsystem-public-os --skill graph -a claude-code`. Or copy the skill folder (skills/graph in romarayt/raytsystem-public-os) into .claude/skills/graph in your project. Claude Code loads it when a task matches its description.
How do I install Graph in Codex?
Run `npx skills add romarayt/raytsystem-public-os --skill graph -a codex`. Or copy the skill folder (skills/graph in romarayt/raytsystem-public-os) into .agents/skills/graph in your project. Codex loads it when a task matches its description.
Can I use Graph in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add romarayt/raytsystem-public-os --skill graph -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/graph, .gemini/skills/graph, .github/skills/graph and .opencode/skills/graph in your project.
What does Graph need to run?
Going by SKILL.md and its folder, Graph needs the command-line tools its instructions call (uv).
Does Graph access the network?
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Graph safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Graph use?
Graph is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Graph use?
About 527 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Graph?
Skills that share tags, products or a category with Graph: Baoyu URL To Markdown (sdyckjq-lab/llm-wiki-skill, 2.5k stars), Logseq Review Workflow Eval (logseq/logseq, 45k stars), Obsidian CLI (Atmosphere/atmosphere, 3.8k stars) and Esm Cjs Risk Scan (logseq/logseq, 45k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Graph?
romarayt (a GitHub user) maintains it in romarayt/raytsystem-public-os, which has 150 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 7, 2026.
Source: romarayt/raytsystem-public-os on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.