claude-code-worker

claude-code-worker is a skill for Codex from uchicago-dsi/ai-sci-skills. It costs 103 tokens per session (1,523 once invoked), scanned A, original, MIT.

Instructions for delegating a bounded coding, review, or research task from Codex to Claude Code in a separate Git worktree. A worktree is an isolated checkout of the same repository.

In plain words
What is it for?
Use them when a user asks for Claude Code delegation or when an isolated worker should complete a small, inspectable repository task.
Why use it?
They prevent shared working files from interfering with the task and require the supervising agent to provide context and verify the result.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions subagents; mentions Claude Code; mentions AGENTS.md.

Good fit Use them when a user asks for Claude Code delegation or when an isolated worker should complete a small, inspectable repository task.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/uchicago-dsi/ai-sci-skills/claude-code-worker
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add uchicago-dsi/ai-sci-skills --skill claude-code-worker
Clone the repo
git clone --depth 1 https://github.com/uchicago-dsi/ai-sci-skills

Made for: 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.

agentmods badge for claude-code-worker

README.md
[![agentmods](https://agentmods.dev/badge/skills/uchicago-dsi/ai-sci-skills/claude-code-worker.svg)](https://agentmods.dev/skills/uchicago-dsi/ai-sci-skills/claude-code-worker)
Your own site
<a href="https://agentmods.dev/skills/uchicago-dsi/ai-sci-skills/claude-code-worker"><img src="https://agentmods.dev/badge/skills/uchicago-dsi/ai-sci-skills/claude-code-worker.svg" alt="Measured on agentmods" height="20"></a>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,523 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Rogue Agent · line 16
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
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 $0.00103 $0.01523
Opus 5 $0.00051 $0.00762
Sonnet 5 $0.00021 $0.00305
Haiku 4.5 $0.00010 $0.00152

Measured 2d ago against content hash 409ae2257428, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

claude-code-worker 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 2d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/run_claude_worker.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/claude-code-worker/SKILL.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Claude Code Worker

Use Claude as a write-capable external worker while Codex remains the supervising owner. The worker is conversational across invocations, but it does not inherit the Codex thread or native tool state. Give it a compact, self-contained prompt and verify its work yourself.

Before Launch

  1. Read the repository's applicable AGENTS.md and task instructions yourself.
  2. Choose one concrete, bounded task with an inspectable result.
  3. Create a dedicated clean Git worktree under the repository's configured worktree root. Do not point Claude at a shared checkout or an execution checkout bound to a live job.
  4. Create the state directory outside the worktree. Use a protected directory when the prompt or result is private. Never put PHI, credentials, patient identifiers, source imaging, or protected clinical text in the prompt or worker-visible paths.
  5. Write a self-contained prompt that includes:
    • the exact outcome and boundaries;
    • relevant user constraints and applicable repository rules;
    • current evidence and file paths needed for the task;
    • verification expected from the worker;
    • whether it may commit (default: no);
    • an instruction to report changed files, checks, findings, and blockers.

Start And Continue

Run the bundled bridge from the repository that owns the worktree:

python "$CODEX_HOME/skills/claude-code-worker/scripts/run_claude_worker.py" start \
  --workdir "$WORKTREE" \
  --prompt-file "$PROMPT_FILE" \
  --state-dir "$STATE_DIR"

The default is Sonnet at medium effort for bounded coding and review, with autonomous tool use, unrestricted turn count, and write plus shell tools. Use compact, file-referenced briefs and send only unfinished scope. Do small edits locally when delegation and review would cost more than the task. Escalate model or effort only for an identified difficulty, not by default. Safety comes from Claude restricted/safe mode and the isolated worktree, not from making the worker read-only. The bridge does not use --no-session-persistence; it records the Claude session ID and raw JSON result under the state directory.

Read the full file on GitHub · 121 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2d ago First seen · 121 lines · 103 tokens per session scan A 409ae2257428

Subscribe to this mod's changes

claude-code-worker is a skill published in the GitHub repository uchicago-dsi/ai-sci-skills (16 stars, last pushed 2d ago), licensed MIT. It adds 103 tokens to every session and 1,523 once invoked, about $0.0005 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 2026-09-05.

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