Agent skill

Cross Agent Review

by prassanna-ravishankar in prassanna-ravishankar/repowire

Ask an existing local coding agent for an independent code, PR, or design review through Repowire remote MCP.

No licenceAuto-check passedMedia & Creative

Install Cross Agent Review

skills CLI
$ npx skills add prassanna-ravishankar/repowire --skill cross-agent-review -a claude-code

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

GitHub CLI
$ gh skill install prassanna-ravishankar/repowire cross-agent-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/prassanna-ravishankar/repowire.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/repowire-remote/skills/cross-agent-review .claude/skills/cross-agent-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
cross-agent-review
GitHub stars
264
Token cost
~288 tokens
SKILL.md length
155 words
Files
1
Skills in repo
20
Repo updated
First seen
Licence
None found

At a glance

Ask an existing local coding agent for an independent code, PR, or design review through Repowire remote MCP.

  • Tasks that involve Design review and critique
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Cross Agent Review is an agent skill from prassanna-ravishankar/repowire. Ask an existing local coding agent for an independent code, PR, or design review through Repowire remote MCP.

Its SKILL.md is about 290 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 Media & Creative, covering Design review and critique. It works with Model Context Protocol. The repository describes itself as: May the agents talk . Connect Claude Code, Opencode, Codex, Pi across projects, across machines and with your telegram.

When your agent uses it

  • Tasks that involve Design review and critique

Example prompts

  • “/cross-agent-review”

What it can do on your machine

Read from SKILL.md and the folder at commit 7c8100a. 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

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    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

Cross Agent Review loads about 288 tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 155 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~32
When it runs · the whole SKILL.md, loaded when a task matches
~288

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 155 words (~288 tokens).

“Discover machines and agents with list_machines and list_agents. Honor the user's chosen reviewer. Otherwise prefer a suitable agent on a different backend for a second perspective; clarify if no suitable reviewer is available.”

— opening of SKILL.md by prassanna-ravishankar
name
cross-agent-review

Read the full SKILL.md on GitHub

Files

Just SKILL.md in plugins/repowire-remote/skills/cross-agent-review of prassanna-ravishankar/repowire.

Open the folder on GitHubat commit 7c8100a

Compare with similar skills

Cross Agent 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.

Cross Agent Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Cross Agent Review this skillprassanna-ravishankar/repowire264—~288Automated safety check: PassNone
Kicad Design Reviewoaslananka/kicad-mcp-pro122—~529Automated safety check: PassMIT
Autodesignsalitronic/eda-agent244—~1.2kAutomated safety check: PassApache-2.0
Azsdk Common Pipeline TroubleshootingAzure/azure-sdk-for-android121—~496Automated safety check: PassMIT
Build Screentsubotax/melta-ui201—~1.3kAutomated safety check: PassMIT
Verifier Evaluationsmorluto/jacobian220—~661Automated safety check: PassMIT

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  • Build Screen

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More from prassanna-ravishankar/repowire

All 20 skills in this repo
  • Cross Agent Review

    prassanna-ravishankar/repowire

    Get a code/PR/plan review from a DIFFERENT AI agent over the repowire mesh (e.g.

    264 GitHub stars~480 tokensUpdated yesterday
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    Hand a task to another AI agent peer over the repowire mesh — reuse an existing peer on the chosen backend, or spawn one if none exists.

    264 GitHub stars~503 tokensUpdated yesterday
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  • Durable Jobs

    prassanna-ravishankar/repowire

    A skill your agent uses when the user asks for durable or recurring background work, work that should survive peer death, retry/cancel/result tracking, spawned-on-demand workers, agent folders…

    264 GitHub stars~602 tokensUpdated yesterday
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  • Cleanup

    prassanna-ravishankar/repowire

    A skill your agent uses when cleaning up peers, sessions, tmux panes, processes, feature worktrees, branches, generated artifacts, or after a delegated lane or PR is complete.

    264 GitHub stars~352 tokensUpdated yesterday
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  • Create Agent

    prassanna-ravishankar/repowire

    A skill your agent uses when creating, updating, or explaining a standing Repowire agent folder, worker folder, durable-job executor context, or reusable agent-specific AGENTS.md guidance.

    264 GitHub stars~388 tokensUpdated yesterday
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  • Create Skill

    prassanna-ravishankar/repowire

    A skill your agent uses when adding, updating, splitting, or reviewing local orchestrator skills for reusable procedures, including controlled self-improvement of the orchestrator.

    264 GitHub stars~406 tokensUpdated yesterday
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Questions about Cross Agent Review

What does Cross Agent Review do?

Ask an existing local coding agent for an independent code, PR, or design review through Repowire remote MCP. Cross Agent Review is an agent skill from prassanna-ravishankar/repowire. Ask an existing local coding agent for an independent code, PR, or design review through Repowire remote MCP.

When should I use Cross Agent Review?

Cross Agent Review fits situations like: tasks that involve Design review and critique.

How do I install Cross Agent Review in Claude Code?

Run `npx skills add prassanna-ravishankar/repowire --skill cross-agent-review -a claude-code`. Or copy the skill folder (plugins/repowire-remote/skills/cross-agent-review in prassanna-ravishankar/repowire) into .claude/skills/cross-agent-review in your project. Claude Code loads it when a task matches its description.

How do I install Cross Agent Review in Codex?

Run `npx skills add prassanna-ravishankar/repowire --skill cross-agent-review -a codex`. Or copy the skill folder (plugins/repowire-remote/skills/cross-agent-review in prassanna-ravishankar/repowire) into .agents/skills/cross-agent-review in your project. Codex loads it when a task matches its description.

Can I use Cross Agent 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 prassanna-ravishankar/repowire --skill cross-agent-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/cross-agent-review, .gemini/skills/cross-agent-review, .github/skills/cross-agent-review and .opencode/skills/cross-agent-review in your project.

What does Cross Agent Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Cross Agent Review is instructions for the agent only.

Does Cross Agent Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Cross Agent 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 Cross Agent Review use?

No licence was found for Cross Agent Review or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Cross Agent Review use?

About 288 tokens (SKILL.md is roughly 1.2k 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 Cross Agent Review?

Skills that share tags, products or a category with Cross Agent Review: Kicad Design Review (oaslananka/kicad-mcp-pro, 122 stars), Autodesign (salitronic/eda-agent, 244 stars), Azsdk Common Pipeline Troubleshooting (Azure/azure-sdk-for-android, 121 stars) and Build Screen (tsubotax/melta-ui, 201 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cross Agent Review?

prassanna-ravishankar (a GitHub user) maintains it in prassanna-ravishankar/repowire, which has 264 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on October 9, 2026.

Source: prassanna-ravishankar/repowire on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.