agentmods.dev

claude-chatgpt-agent-bridge: Skill for Claude Code

.claude/skills/delegate-to-peer/SKILL.md

delegate-to-peer is a skill for Claude Code from jcharveyjr/claude-chatgpt-agent-bridge. It costs 78 tokens per session (549 once invoked), scanned A, original, MIT.

A skill for assigning a bounded, independent task from one AI coding agent to another through Agent Bridge.

In plain words
What is it for?
Delegating work between Claude, Codex, and ChatGPT, retrieving the result, and checking it before use.
Why use it?
A second agent can provide a separate implementation, review, research result, or validation while the first agent continues its work.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions Codex.

This is jcharveyjr/claude-chatgpt-agent-bridge's own configuration. It tells Claude Code how to work on claude-chatgpt-agent-bridge itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything claude-chatgpt-agent-bridge configures →

not rated 1repo +1 1mo ago A scan 78 tokens original MIT
View source ↗ jcharveyjr/claude-chatgpt-agent-bridge
Reuse

Borrowing it

Nothing to install: this file belongs to jcharveyjr/claude-chatgpt-agent-bridge. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/jcharveyjr/claude-chatgpt-agent-bridge/main/.claude/skills/delegate-to-peer/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/jcharveyjr/claude-chatgpt-agent-bridge

Made for: Claude Code.

Wrote 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.

agentmods badge for delegate-to-peer

README.md
[![agentmods](https://agentmods.dev/badge/skills/jcharveyjr/claude-chatgpt-agent-bridge/delegate-to-peer/github.svg)](https://agentmods.dev/skills/jcharveyjr/claude-chatgpt-agent-bridge/delegate-to-peer)
Your own site
<a href="https://agentmods.dev/skills/jcharveyjr/claude-chatgpt-agent-bridge/delegate-to-peer"><img src="https://agentmods.dev/badge/skills/jcharveyjr/claude-chatgpt-agent-bridge/delegate-to-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.

agentmods 80×15 button for delegate-to-peer

Your own site · 80×15
<a href="https://agentmods.dev/skills/jcharveyjr/claude-chatgpt-agent-bridge/delegate-to-peer"><img src="https://agentmods.dev/badge/skills/jcharveyjr/claude-chatgpt-agent-bridge/delegate-to-peer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 549 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00078 $0.00549
Opus 5 $0.00039 $0.00275
Sonnet 5 $0.00016 $0.00110
Haiku 4.5 $0.00008 $0.00055

Measured 10d ago against content hash 0534a49a22b9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

delegate-to-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 10d 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.

.claude/skills/delegate-to-peer/SKILL.md · 41 lines

How it starts

The opening of the file, as written. The whole thing — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Delegate to Peer

Use the Agent Bridge MCP tools by their base names even when the client prefixes them.

  1. Call agent_bridge_capabilities before the first delegation in a session.
  2. Choose the peer target:
    • From Claude, set source_agent to claude and target_agent to codex.
    • From Codex, set source_agent to codex and target_agent to claude.
    • From ChatGPT Work, set source_agent to chatgpt and choose claude for general peer work or codex for coding-focused work.
  3. Delegate one bounded outcome with delegate_task. Include the workspace name, necessary context, explicit success criteria, and the least-permissive mode.
  4. Continue independent work while the task is queued or running. Do not busy-wait.
  5. Call get_task when the peer result is needed. If the task is not finished, wait for a meaningful work boundary before checking again.
  6. Verify the returned work before integrating it. The requesting agent remains responsible for the final answer and validation.

Guardrails

  • Never delegate to the same agent as source_agent.
  • Never ask the worker to call Agent Bridge again. The broker also injects this restriction.
  • Pass parent_task_id for a true nested task. Do not evade the configured depth limit.
  • Use read_only for analysis, review, planning, or research. Use workspace_write only when file edits are required.
  • Do not send passwords, tokens, private keys, session cookies, or unrelated private data in task text or context.
  • Do not delegate purchases, messages, publishing, deployments, permission changes, or destructive actions without the user's explicit authority and the destination runtime's own approval.
  • Cancel obsolete work with cancel_task.

Good Delegation Shape

Provide:

  • One concrete deliverable
  • Only the context needed for that deliverable
  • Named workspace rather than an arbitrary filesystem path
  • Observable success criteria
  • Expected handoff, including files changed and validation performed

Read the full file on GitHub · 41 lines

Changes

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.

  1. 10d ago First seen · 41 lines · 78 tokens per session scan A 0534a49a22b9

Subscribe to this mod's changes

delegate-to-peer is a skill published in the GitHub repository jcharveyjr/claude-chatgpt-agent-bridge (1 stars, last pushed 1mo ago), licensed MIT. It adds 78 tokens to every session and 549 once invoked, about $0.0004 per session on Opus 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 2026-09-01.

Building agents
Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens