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Agent skill

Raytsystem Run Review

by romarayt in romarayt/raytsystem-public-os

Independently review an raytsystem run, diff, contract, test result, or milestone checkpoint and return structured findings.

Apache-2.0Auto-check passedTesting & QA

Install Raytsystem Run Review

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

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

GitHub CLI
$ gh skill install romarayt/raytsystem-public-os raytsystem-run-review --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-run-review .claude/skills/raytsystem-run-review && 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-run-review
GitHub stars
149
Token cost
~523 tokens
SKILL.md length
223 words
Files
2
Skills in repo
12
Repo updated
First seen
Licence
Apache-2.0

At a glance

Independently review an raytsystem run, diff, contract, test result, or milestone checkpoint and return structured findings.

  • Works in 3 steps: Run uv run raytsystem agent preflight… → Run agent subagent-check before sending… → Supply only the minimal non-sensitive…
  • Architecture/contracts/data-integrity/test critique
  • SKILL.md covers Inputs and outputs, Write scope, Preflight and Workflow, plus 3 more sections
  • Calls uv

What it does

Raytsystem Run Review is an agent skill from romarayt/raytsystem-public-os. Independently review an raytsystem run, diff, contract, test result, or milestone checkpoint and return structured findings. Use for REVIEW, architecture/contracts/data-integrity/test critique, gate verification, or pre-promotion review; remain read-only and separate from the writer context.

Its SKILL.md is about 520 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 Testing & QA, covering Integration testing and Project 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

  • Architecture/contracts/data-integrity/test critique
  • Gate verification
  • Pre-promotion review
  • Remain read-only and separate from the writer context

Example prompts

  • “/raytsystem-run-review”

Workflow steps

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

  1. Run uv run raytsystem agent preflight --skill raytsystem-run-review --write --json locally.
  2. Run agent subagent-check before sending any excerpt to a reviewer surface.
  3. Supply only the minimal non-sensitive target; do not leak the intended answer or suspected fix.

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 Run Review loads about 523 tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 223 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~523

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). 223 words, ~523 tokens.

Download SKILL.mdSave it as .claude/skills/raytsystem-run-review/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
raytsystem-run-review
description
Independently review an raytsystem run, diff, contract, test result, or milestone checkpoint and return structured findings. Use for REVIEW, architecture/contracts/data-integrity/test critique, gate verification, or pre-promotion review; remain read-only and separate from the writer context.

raytsystem Run Review

Inputs and outputs

  • Accept one bounded target, exact file/source references, rubric, and stop condition.
  • Return PASS or sorted Critical/High/Medium findings with file:line, impact, evidence, and minimal fix.

Write scope

  • Keep the reviewer read-only.
  • Never edit files, acquire writer leases, promote, create Git refs, or perform external actions.
  • Let the main agent resolve contradictions and own all writes.

Preflight

  1. Run uv run raytsystem agent preflight --skill raytsystem-run-review --write --json locally.
  2. Run agent subagent-check before sending any excerpt to a reviewer surface.
  3. Supply only the minimal non-sensitive target; do not leak the intended answer or suspected fix.

Workflow

  1. Inspect target contracts, implementation, tests, and declared gate evidence.
  2. Reproduce suspected failures read-only when safe.
  3. Rank findings by concrete impact; omit style-only commentary unless requested.
  4. Return summaries with source references, not raw logs.

Validation

  • Verify source-of-truth boundaries, generation binding, idempotency, recovery, skipped gates, and docs/code agreement.
  • Require evidence for every finding and distinguish untested risk from confirmed failure.
  • Exercise evals m3-review-golden and m3-review-adversarial.

Recovery

  • If quota/tool access ends, return reviewed scope, unresolved files/questions, and exact next read-only check.
  • Do not call partial review success.

Stop and approval conditions

  • Stop before writes, private hosted transfer, secrets, promotion, external mutation, or scope expansion.
  • Report unavailable when an independent surface cannot safely receive inputs; let the main agent continue sequentially.

© 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-run-review of romarayt/raytsystem-public-os.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit b5ac705

Compare with similar skills

Raytsystem Run Review 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 Run Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Raytsystem Run Review this skillromarayt/raytsystem-public-os149—~523Automated safety check: PassApache-2.0
Add Acceptance Testtalkincode/toughradius691—~827Automated safety check: PassMIT
Build Doddanshapiro/kilroy222—~2.5kAutomated safety check: PassMIT
Software Engineering Standardskitchen-engineer42/pdf2skills134—~921Automated safety check: PassNone
Plugin Testingpolyipseity/obsidian-terminal951—~828Automated safety check: PassAGPL-3.0
Create Modulecartography-cncf/cartography4.1k—~2.5kAutomated safety check: PassApache-2.0

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All 12 skills in this repo

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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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Categories

Questions about Raytsystem Run Review

What does Raytsystem Run Review do?

Independently review an raytsystem run, diff, contract, test result, or milestone checkpoint and return structured findings. Raytsystem Run Review is an agent skill from romarayt/raytsystem-public-os. Independently review an raytsystem run, diff, contract, test result, or milestone checkpoint and return structured findings.

When should I use Raytsystem Run Review?

Raytsystem Run Review fits situations like: architecture/contracts/data-integrity/test critique; gate verification; pre-promotion review; remain read-only and separate from the writer context.

How do I install Raytsystem Run Review in Claude Code?

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

How do I install Raytsystem Run Review in Codex?

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

Can I use Raytsystem Run Review 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-run-review -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-run-review, .gemini/skills/raytsystem-run-review, .github/skills/raytsystem-run-review and .opencode/skills/raytsystem-run-review in your project.

What does Raytsystem Run Review need to run?

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

Does Raytsystem Run Review 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 Run Review 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 Run Review use?

Raytsystem Run Review 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 Run Review use?

About 523 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 Raytsystem Run Review?

Skills that share tags, products or a category with Raytsystem Run Review: Add Acceptance Test (talkincode/toughradius, 691 stars), Build Dod (danshapiro/kilroy, 222 stars), Software Engineering Standards (kitchen-engineer42/pdf2skills, 134 stars) and Plugin Testing (polyipseity/obsidian-terminal, 951 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Raytsystem Run Review?

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.