Agent skill

Raytsystem Save

by romarayt in romarayt/raytsystem-public-os

Stage a cited synthesis as a typed raytsystem DRAFT bundle and escaped preview.

Apache-2.0Auto-check passed

Install Raytsystem Save

skills CLI
$ npx skills add romarayt/raytsystem-public-os --skill raytsystem-save -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install romarayt/raytsystem-public-os raytsystem-save --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/romarayt/raytsystem-public-os.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/raytsystem-save .claude/skills/raytsystem-save && rm -rf skills-src

Use ~/.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/

Facts

Skill name
raytsystem-save
GitHub stars
150
Token cost
~480 tokens
SKILL.md length
204 words
Files
2
Skills in repo
12
Repo updated
First seen
Licence
Apache-2.0

At a glance

Stage a cited synthesis as a typed raytsystem DRAFT bundle and escaped preview.

  • Works in 3 steps: Run uv run raytsystem agent preflight… → Obtain evidence IDs from a verified… → Reject secret text, unsafe title/path,…
  • Preserving a verified query answer
  • SKILL.md covers Inputs and outputs, Write scope, Preflight and Workflow, plus 3 more sections
  • Calls uv

What it does

Raytsystem Save is an agent skill from romarayt/raytsystem-public-os. Stage a cited synthesis as a typed raytsystem DRAFT bundle and escaped preview. Use for SAVE, preserving a verified query answer, preparing a knowledge proposal, or creating a reviewable draft; never treat SAVE as canonical promotion or publication.

Its SKILL.md is about 480 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

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

  • Preserving a verified query answer
  • Preparing a knowledge proposal
  • Creating a reviewable draft
  • Never treat SAVE as canonical promotion

Example prompts

  • “/raytsystem-save”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Run uv run raytsystem agent preflight --skill raytsystem-save --write --json.
  2. Obtain evidence IDs from a verified generation-bound QUERY result.
  3. Reject secret text, unsafe title/path, stale generation, linked output/control paths, or uncited synthesis.

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

Raytsystem Save loads about 480 tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 204 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~480

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). 204 words, ~480 tokens.

Download SKILL.mdSave it as .claude/skills/raytsystem-save/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
raytsystem-save
description
Stage a cited synthesis as a typed raytsystem DRAFT bundle and escaped preview. Use for SAVE, preserving a verified query answer, preparing a knowledge proposal, or creating a reviewable draft; never treat SAVE as canonical promotion or publication.

raytsystem SAVE

Inputs and outputs

  • Accept bounded synthesis text, safe title, and one or more verified active evidence segment IDs.
  • Return one idempotent SaveResult, typed staging bundle, and escaped DRAFT preview.

Write scope

  • Write only ops/staging/<run_id>/, ops/runs/<run_id>/, coordination state, and artifacts/drafts/.
  • Never write ledger/, events, generated knowledge, Git refs, outbox, or external systems.

Preflight

  1. Run uv run raytsystem agent preflight --skill raytsystem-save --write --json.
  2. Obtain evidence IDs from a verified generation-bound QUERY result.
  3. Reject secret text, unsafe title/path, stale generation, linked output/control paths, or uncited synthesis.

Workflow

  1. Run uv run raytsystem save "SYNTHESIS" --title "TITLE" --evidence SEGMENT_ID --json.
  2. Inspect bundle.json, typed proposal artifacts, and preview hashes.
  3. Leave the result in DRAFT/awaiting-review state.

Validation

  • Bind the operation key to generation, text/title hashes, evidence, schemas, component, and config.
  • Verify a repeated/concurrent identical SAVE returns the same artifact and no canonical mutation.
  • Exercise evals m3-save-golden and m3-save-adversarial.

Recovery

  • Re-run the exact SAVE; join the existing operation and verify its hash-closed bundle.
  • Keep incomplete staging for diagnosis and fail closed on generation change.

Stop and approval conditions

  • Stop before promotion, send, publish, upload, outbox dispatch, push, PR, or release.
  • Require a later explicit reviewed promotion design; M2/M3 SAVE cannot promote by construction.

© 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

SKILL.md and 1 other file in skills/raytsystem-save of romarayt/raytsystem-public-os.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit b5ac705

Compare with similar skills

Raytsystem Save 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.

Raytsystem Save compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Raytsystem Save this skillromarayt/raytsystem-public-os150—~480Automated safety check: PassApache-2.0
Rust Path Typesopeninterpreter/openinterpreter69k2 repos~605Automated safety check: PassApache-2.0
Python Type Safetywshobson/agents40k—~1.4kAutomated safety check: PassMIT
Type Coercionthedaviddias/Front-End-Checklist74k—~493Automated safety check: PassMIT
Type Only Importsthedaviddias/Front-End-Checklist74k—~558Automated safety check: PassMIT
Pyrefly Type Coveragepytorch/pytorch104k—~3kAutomated safety check: PassCustom licence

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  • Raytsystem Watch

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  • Raytsystem Ingest

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  • Raytsystem Lint

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  • Raytsystem Query

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Questions about Raytsystem Save

What does Raytsystem Save do?

Stage a cited synthesis as a typed raytsystem DRAFT bundle and escaped preview. Raytsystem Save is an agent skill from romarayt/raytsystem-public-os. Stage a cited synthesis as a typed raytsystem DRAFT bundle and escaped preview.

When should I use Raytsystem Save?

Raytsystem Save fits situations like: preserving a verified query answer; preparing a knowledge proposal; creating a reviewable draft; never treat SAVE as canonical promotion.

How do I install Raytsystem Save in Claude Code?

Run `npx skills add romarayt/raytsystem-public-os --skill raytsystem-save -a claude-code`. Or copy the skill folder (skills/raytsystem-save in romarayt/raytsystem-public-os) into .claude/skills/raytsystem-save in your project. Claude Code loads it when a task matches its description.

How do I install Raytsystem Save in Codex?

Run `npx skills add romarayt/raytsystem-public-os --skill raytsystem-save -a codex`. Or copy the skill folder (skills/raytsystem-save in romarayt/raytsystem-public-os) into .agents/skills/raytsystem-save in your project. Codex loads it when a task matches its description.

Can I use Raytsystem Save 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 raytsystem-save -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/raytsystem-save, .gemini/skills/raytsystem-save, .github/skills/raytsystem-save and .opencode/skills/raytsystem-save in your project.

What does Raytsystem Save need to run?

Going by SKILL.md and its folder, Raytsystem Save needs the command-line tools its instructions call (uv).

Does Raytsystem Save 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 Raytsystem Save 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 Raytsystem Save use?

Raytsystem Save 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 Raytsystem Save use?

About 480 tokens (SKILL.md is roughly 1.9k 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 Raytsystem Save?

Skills that share tags, products or a category with Raytsystem Save: Rust Path Types (openinterpreter/openinterpreter, 69k stars), Python Type Safety (wshobson/agents, 40k stars), Type Coercion (thedaviddias/Front-End-Checklist, 74k stars) and Type Only Imports (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Raytsystem Save?

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.