Borrowing it
Nothing to install: this file belongs to dazzaji/interlateral_agents. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dazzaji/interlateral_agents/main/.agent/skills/warp-mesh-peer/SKILL.mdgit clone --depth 1 https://github.com/dazzaji/interlateral_agentsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/dazzaji/interlateral_agents/warp-mesh-peer)<a href="https://agentmods.dev/skills/dazzaji/interlateral_agents/warp-mesh-peer"><img src="https://agentmods.dev/badge/skills/dazzaji/interlateral_agents/warp-mesh-peer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/dazzaji/interlateral_agents/warp-mesh-peer"><img src="https://agentmods.dev/badge/skills/dazzaji/interlateral_agents/warp-mesh-peer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00044 | $0.01006 |
| Opus 5.5 | $0.00018 | $0.00402 |
| Sonnet 5.5 | $0.00009 | $0.00201 |
| Haiku 4.5 | $0.00004 | $0.00101 |
Grade A, and why
warp-mesh-peer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Warp Mesh Peer
Purpose
Use this skill when the human wants Interlateral CLI agents visible inside Warp while preserving the standard tmux mesh.
Warp is the terminal surface. tmux remains the transport. Do not use Warp Oz, Warp Drive, AppleScript, or Accessibility paste as the mesh channel.
Boundary
This skill is for Claude Code and Codex CLI running inside tmux sessions that are attached from Warp panes.
It is not the Desktop join path. If Claude Desktop or Codex Desktop needs to join the mesh, use desktop-mesh-peer.
Canonical Sessions
- Claude Code in Warp:
ia-claude-warp - Codex CLI in Warp:
ia-codex-warp
Suffix variants are allowed for reviews or sprints, for example:
ia-claude-warp-reviewia-codex-warp-breaker
Always target the exact tmux session name.
Quick Start
Install or refresh the Warp launch configuration:
scripts/install-warp-launch-config.sh --force
Open the Warp mesh:
open "warp://launch/interlateral-warp-mesh"
This opens Warp panes attached to:
ia-claude-warpia-codex-warp
If the sessions do not exist, the wrapper creates them using the existing repo launchers.
Manual Attach
Run either peer directly:
scripts/warp-mesh-peer.sh claude ia-claude-warp
scripts/warp-mesh-peer.sh codex ia-codex-warp
Relaunch one named peer explicitly:
scripts/warp-mesh-peer.sh --relaunch claude ia-claude-warp
scripts/warp-mesh-peer.sh --relaunch codex ia-codex-warp
The wrapper never kills an existing session unless --relaunch is supplied.
Comms
Use the same mesh helpers as the rest of the repo.
For Warp Claude:
source scripts/tmux-config.sh
claude_send_long_logged =ia-claude-warp: "ACK challenge: warp-claude-001. Reply with this nonce."
For Warp Codex:
source scripts/tmux-config.sh
agent_send_long_logged =ia-codex-warp: "ACK challenge: warp-codex-001. Reply with this nonce."
comms.md is the ledger, not the wake-up path. A valid proof has both a visible direct reply and a stamped ledger entry.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 133 lines · 44 tokens per session scan A c051fc7fc6d5
warp-mesh-peer is a skill published in the GitHub repository dazzaji/interlateral_agents (11 stars, last pushed 10d ago), licensed Apache-2.0. It adds 44 tokens to every session and 1,006 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-03.
warp-mesh-peer compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| warp-mesh-peerdazzaji/interlateral_agents | Skill | 11 | 10d ago | Apache-2.0 | A | 44 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |