Minimizing Ty Ecosystem Changes
astral-sh/ruff
A skill your agent uses when a user says "minimize this ty ecosystem change", "reproduce this ecosystem result", "investigate a primer difference", "investigate a mypyprimer difference"…
Run deterministic integrity, provenance, projection, link, alias, operation, and secret checks over raytsystem.
Install Raytsystem Lint
$ npx skills add romarayt/raytsystem-public-os --skill raytsystem-lint -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install romarayt/raytsystem-public-os raytsystem-lint --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/raytsystem-lint .claude/skills/raytsystem-lint && 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 "raytsystem-lint" agent skill from https://github.com/romarayt/raytsystem-public-os/tree/main/skills/raytsystem-lint into .claude/skills/raytsystem-lint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "raytsystem-lint", 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/raytsystem-lintType 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 raytsystem-lint -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install romarayt/raytsystem-public-os raytsystem-lint --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/raytsystem-lint .agents/skills/raytsystem-lint && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "raytsystem-lint" agent skill from https://github.com/romarayt/raytsystem-public-os/tree/main/skills/raytsystem-lint into .agents/skills/raytsystem-lint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "raytsystem-lint", 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 raytsystem-lint -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install romarayt/raytsystem-public-os raytsystem-lint --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/raytsystem-lint .cursor/skills/raytsystem-lint && 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 "raytsystem-lint" agent skill from https://github.com/romarayt/raytsystem-public-os/tree/main/skills/raytsystem-lint into .cursor/skills/raytsystem-lint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "raytsystem-lint", 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/raytsystem-lint--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 raytsystem-lint -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install romarayt/raytsystem-public-os raytsystem-lint --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/raytsystem-lint .gemini/skills/raytsystem-lint && 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 "raytsystem-lint" agent skill from https://github.com/romarayt/raytsystem-public-os/tree/main/skills/raytsystem-lint into .gemini/skills/raytsystem-lint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "raytsystem-lint", 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 raytsystem-lintInstalls 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 raytsystem-lint -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/raytsystem-lint .github/skills/raytsystem-lint && 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 "raytsystem-lint" agent skill from https://github.com/romarayt/raytsystem-public-os/tree/main/skills/raytsystem-lint into .github/skills/raytsystem-lint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "raytsystem-lint", 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 raytsystem-lint -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 raytsystem-lint --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/raytsystem-lint .opencode/skills/raytsystem-lint && 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 "raytsystem-lint" agent skill from https://github.com/romarayt/raytsystem-public-os/tree/main/skills/raytsystem-lint into .opencode/skills/raytsystem-lint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "raytsystem-lint", 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
raytsystem-lint- GitHub stars
- 149
- Token cost
- ~468 tokens
- SKILL.md length
- 201 words
- Files
- 2
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Run deterministic integrity, provenance, projection, link, alias, operation, and secret checks over raytsystem.
- Works in 3 steps: Run uv run raytsystem agent preflight… → Record the active generation and Git… → Read all inspected files through…
- Pre-commit verification
- SKILL.md covers Inputs and outputs, Write scope, Preflight and Workflow, plus 3 more sections
- Calls uv
What it does
Raytsystem Lint is an agent skill from romarayt/raytsystem-public-os. Run deterministic integrity, provenance, projection, link, alias, operation, and secret checks over raytsystem. Use for LINT, health checks, pre-commit verification, stale projection diagnosis, broken evidence, or semantic review; never auto-fix canonical knowledge.
Its SKILL.md is about 470 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
It sits in Development, covering Linting and formatting. 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
- Pre-commit verification
- Stale projection diagnosis
- Broken evidence
- Semantic review
Example prompts
- “/raytsystem-lint”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Run uv run raytsystem agent preflight --skill raytsystem-lint --write --json.
- Record the active generation and Git dirty state.
- Read all inspected files through no-follow, hardlink-safe paths.
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 Lint loads about 468 tokens when it runs. Until then it costs about 71 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, ~468 tokens.
Download SKILL.mdSave it as
.claude/skills/raytsystem-lint/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- raytsystem-lint
- description
- Run deterministic integrity, provenance, projection, link, alias, operation, and secret checks over raytsystem. Use for LINT, health checks, pre-commit verification, stale projection diagnosis, broken evidence, or semantic review; never auto-fix canonical knowledge.
raytsystem LINT
Inputs and outputs
- Accept deterministic mode by default or explicit semantic-review mode.
- Return a sorted machine-readable
LintReportwith stable codes and a report hash.
Write scope
- Keep LINT read-only.
- Permit a separate explicit
rebuild-indexonly for derived artifacts. - Never edit canonical records, generated pages, events, run history, or manual notes.
Preflight
- Run
uv run raytsystem agent preflight --skill raytsystem-lint --write --json. - Record the active generation and Git dirty state.
- Read all inspected files through no-follow, hardlink-safe paths.
Workflow
- Run
uv run raytsystem lint --json. - Use
uv run raytsystem lint --semantic --jsononly to create review findings, never fixes. - Group findings by stable code and point to workspace-relative subjects only.
Validation
- Check raw hashes, citation closure, schema/canonical bytes, projection marker/files/index, local links, IDs/aliases/slugs, secrets, and operation uniqueness.
- Require nonzero exit for any critical/high/error finding.
- Exercise evals
m3-lint-goldenandm3-lint-adversarial.
Recovery
- Repair code or rebuild derived projections through their owning command, then re-run LINT.
- Preserve corrupted inputs and failed staging for diagnosis; never hide a finding by deletion.
Stop and approval conditions
- Stop before canonical repair, destructive migration, secret disclosure, or external action.
- Escalate a semantic conflict as a proposal/human review, not an automatic write.
© 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-lint of romarayt/raytsystem-public-os.
- SKILL.md
- agents/openai.yaml
Open the folder on GitHubat commit b5ac705
Compare with similar skills
Raytsystem Lint 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 |
|---|---|---|---|---|---|---|
| Raytsystem Lint this skillromarayt/raytsystem-public-os | 149 | — | ~468 | Automated safety check: Pass | Apache-2.0 | |
| Minimizing Ty Ecosystem Changesastral-sh/ruff | 50k | — | ~4.6k | Automated safety check: Pass | MIT | |
| Install Anti-Slop Oxlint Rulesdmmulroy/anti-slop | 5.4k | — | ~2.2k | Automated safety check: Pass | MIT | |
| Babysit PR To Pass CIsgl-project/sglang | 37k | 2 repos | ~3k | Automated safety check: Pass | Apache-2.0 | |
| Rust Best Practicesfarm-fe/farm | 5.6k | 3 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Summarise Ecosystem Resultsastral-sh/ruff | 50k | — | ~2.2k | Automated safety check: Pass | MIT |
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Installs, updates or migrates the vendored anti-slop Oxlint plugin in a repository, keeping local rule changes and the plugin's license and provenance files.
Babysit PR To Pass CI
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Start and persistently pursue a goal to babysit an SGLang pull request until selected GitHub Actions workflows pass on the latest PR head.
Rust Best Practices
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Guide for writing idiomatic Rust code based on Apollo GraphQL's best practices handbook.
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Summarise Ecosystem Results
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A skill your agent uses when a user says "summarise ecosystem results", "summarize this ty ecosystem report", "what changed in this ecosystem run?", or asks to summarise or summarize ty ecosystem…
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More from romarayt/raytsystem-public-os
All 12 skills in this repoGraph
romarayt/raytsystem-public-os
Refresh the raytsystem code graph so it reflects every current file, then confirm it is up to date.
Start
romarayt/raytsystem-public-os
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
romarayt/raytsystem-public-os
Capture, normalize, propose, validate, and safely promote workspace-local Markdown, text, JSON/JSONL, CSV/TSV, images, or text-bearing PDFs into raytsystem.
Raytsystem Query
romarayt/raytsystem-public-os
Answer questions from the active raytsystem generation using local FTS5 retrieval, canonical record rehydration, verified source spans, and explicit gaps.
Raytsystem Research
romarayt/raytsystem-public-os
Perform bounded source research for raytsystem and return provenance-rich evidence proposals without canonical writes.
Related
Categories
Questions about Raytsystem Lint
What does Raytsystem Lint do?
Run deterministic integrity, provenance, projection, link, alias, operation, and secret checks over raytsystem. Raytsystem Lint is an agent skill from romarayt/raytsystem-public-os. Run deterministic integrity, provenance, projection, link, alias, operation, and secret checks over raytsystem.
When should I use Raytsystem Lint?
Raytsystem Lint fits situations like: pre-commit verification; stale projection diagnosis; broken evidence; semantic review.
How do I install Raytsystem Lint in Claude Code?
Run `npx skills add romarayt/raytsystem-public-os --skill raytsystem-lint -a claude-code`. Or copy the skill folder (skills/raytsystem-lint in romarayt/raytsystem-public-os) into .claude/skills/raytsystem-lint in your project. Claude Code loads it when a task matches its description.
How do I install Raytsystem Lint in Codex?
Run `npx skills add romarayt/raytsystem-public-os --skill raytsystem-lint -a codex`. Or copy the skill folder (skills/raytsystem-lint in romarayt/raytsystem-public-os) into .agents/skills/raytsystem-lint in your project. Codex loads it when a task matches its description.
Can I use Raytsystem Lint 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-lint -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-lint, .gemini/skills/raytsystem-lint, .github/skills/raytsystem-lint and .opencode/skills/raytsystem-lint in your project.
What does Raytsystem Lint need to run?
Going by SKILL.md and its folder, Raytsystem Lint needs the command-line tools its instructions call (uv).
Does Raytsystem Lint 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 Lint 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 Lint use?
Raytsystem Lint 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 Lint use?
About 468 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 Lint?
Skills that share tags, products or a category with Raytsystem Lint: Minimizing Ty Ecosystem Changes (astral-sh/ruff, 50k stars), Install Anti-Slop Oxlint Rules (dmmulroy/anti-slop, 5.4k stars), Babysit PR To Pass CI (sgl-project/sglang, 37k stars) and Rust Best Practices (farm-fe/farm, 5.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Raytsystem Lint?
romarayt (a GitHub user) maintains it in romarayt/raytsystem-public-os, which has 149 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 8, 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.