A tool for assigning bounded tasks or independent reviews to Claude Code or the Codex command-line agent. It can run these peer agents in the foreground or as background jobs, with optional access to write in a worktree.

Use it for repository reviews, implementation tasks in a separate worktree, or quick technical questions.

It lets another coding agent inspect or work on a focused task using its own subscription budget.

How Jonnyton/TinyAssets configures Claude Code and Codex

Reuse

Borrowing it

Nothing to install: this file belongs to Jonnyton/TinyAssets. 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/Jonnyton/TinyAssets/main/.agents/skills/peer-agents/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/Jonnyton/TinyAssets

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/jonnyton/tinyassets/peer-agents/github.svg)](https://agentmods.dev/skills/jonnyton/tinyassets/peer-agents)

Your own site

<a href="https://agentmods.dev/skills/jonnyton/tinyassets/peer-agents"><img src="https://agentmods.dev/badge/skills/jonnyton/tinyassets/peer-agents/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/jonnyton/tinyassets/peer-agents"><img src="https://agentmods.dev/badge/skills/jonnyton/tinyassets/peer-agents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,716 The whole file, excluding the scripts and references it only reads on demand.

Security scan B 1 finding. 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.

Model	Per session	Once invoked
Fable 5.1	$0.00053	$0.01716
Opus 5.5	$0.00021	$0.00686
Sonnet 5.5	$0.00011	$0.00343
Haiku 4.5	$0.00005	$0.00172

Measured 1mo ago against content hash ee21cd78cfb7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

peer-agents scanned grade B with 1 finding 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

**Model defaults are frontier, always.** claude runs `--model fable` (alias tracking the latest Claude model — currently claude-fable-5 on a Max subscription); codex runs with no `-m`, so it uses the model from the host'

.agents/skills/peer-agents/SKILL.md · 97 lines

How it starts

The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.

peer-agents

scripts/peer_agent.py runs claude -p or codex exec as a headless peer agent. The peer spends ITS OWN subscription budget (Claude Max / ChatGPT Pro), not your context — your only cost is launching the job and reading back the result file. Both CLIs must be installed and logged in (claude --version, codex login status).

How to dispatch

Launch as a background Bash task (peers take minutes, not seconds), then read the --out file when the completion notification arrives:

# Review this repo with Claude (read-only default):
python scripts/peer_agent.py claude --out output/peer-review.md \
    --prompt-file brief.md

# Have Codex fix something in a worktree (write mode):
python scripts/peer_agent.py codex --out output/codex-fix.md \
    --prompt "Fix the failing test in tests/test_universe_nodes.py and run it" \
    --cwd ../wf-bug126 --write

# Quick foreground question (prints to stdout, no file):
echo "One paragraph: what does workflow/router.py do?" | python scripts/peer_agent.py claude

For big briefs, write the brief to a file with your Write tool and pass --prompt-file — avoids shell-quoting and Windows command-line limits. The prompt always goes to the peer via stdin.

A dispatched peer must not dispatch

State this in every brief. A peer given a review brief will, left to itself, farm the review out rather than do it: on 2026-08-27 two dispatched Codex reviews each spawned their own peer_agent.py claude children (four in total), created three worktrees, and ran full local pytest -m "not slow" sweeps. After 34 minutes neither had written a single byte to its --out file, and both had to be killed. The work was recursive, not deep.

Put a constraints block in the brief itself -- the CLI has no flag for it:

HARD CONSTRAINTS ON HOW YOU WORK:
- Do NOT dispatch sub-agents. No scripts/peer_agent.py, no claude/codex
  subprocess, no new worktree. You are the reviewer; review it yourself.
- Do NOT run the full suite. No scripts/ci_required_tests.py, no
  `pytest -m "not slow"`. Run at most the one test file you need.
- Budget ~10 minutes. Read the diff and the cited files and reason.

Read the full file on GitHub · 97 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.

1mo ago Changed ee21cd78cfb7
2mo ago First seen · 97 lines · 53 tokens per session scan B 91bd3ab739eb

Subscribe to this mod's changes

peer-agents is a skill published in the GitHub repository Jonnyton/TinyAssets (1 stars, last pushed 1mo ago), licensed MIT. It adds 53 tokens to every session and 1,716 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Building agents

peer-agents next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
peer-agentsJonnyton/TinyAssets	Skill	1	1mo ago	MIT	B	53	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

TinyAssets: Skill for Claude Code