delegate-local-worker

delegate-local-worker is a skill for Claude Code from tushrv/local-llm-delegator. It costs 89 tokens per session (674 once invoked), scanned A, original, MIT.

A helper for handing small, clearly defined coding tasks to a separate local language-model worker. The main agent remains responsible for the design, security decisions, and reviewing the changes.

In plain words
What is it for?
Use it for bounded bug fixes, tests, documentation edits, and validation repairs when the affected files and expected result are clear.
Why use it?
It keeps the main agent from spending its attention on narrow implementation work before it understands the whole codebase. It also sets boundaries so the returned changes can be reviewed.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: mentions Codex.

Part of the local-llm-delegator plugin — 1 skill, 1 MCP server shipped together

Good fit Use it for bounded bug fixes, tests, documentation edits, and validation repairs when the affected files and expected result are clear.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tushrv/local-llm-delegator/delegate-local-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 tushrv/local-llm-delegator --skill delegate-local-worker
Clone the repo
git clone --depth 1 https://github.com/tushrv/local-llm-delegator

Made for: Claude Code.

Or install local-llm-delegator, the plugin that ships this one along with the rest of its 1 skill, 1 MCP server.

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-local-worker

README.md
[![agentmods](https://agentmods.dev/badge/skills/tushrv/local-llm-delegator/delegate-local-worker/github.svg)](https://agentmods.dev/skills/tushrv/local-llm-delegator/delegate-local-worker)
Your own site
<a href="https://agentmods.dev/skills/tushrv/local-llm-delegator/delegate-local-worker"><img src="https://agentmods.dev/badge/skills/tushrv/local-llm-delegator/delegate-local-worker/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-local-worker

Your own site · 80×15
<a href="https://agentmods.dev/skills/tushrv/local-llm-delegator/delegate-local-worker"><img src="https://agentmods.dev/badge/skills/tushrv/local-llm-delegator/delegate-local-worker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 674 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 $0.00089 $0.00674
Opus 5 $0.00044 $0.00337
Sonnet 5 $0.00018 $0.00135
Haiku 4.5 $0.00009 $0.00067

Measured 10d ago against content hash d34f0481961c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

delegate-local-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 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.

plugins/local-llm-delegator/claude-skills/delegate-local-worker/SKILL.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Delegate to the local worker

Keep the primary model responsible for architecture, decomposition, scope, security judgment, patch review, and final acceptance. Offload mechanical, bounded implementation to local-llm-worker.

Decide before reading broadly

Inspect only enough repository structure, manifests, interfaces, or failing output to define the boundary. Do not load every implementation file into the primary context before delegating.

Delegate when all are true:

  • The requested outcome and acceptance conditions are concrete.
  • The change fits a narrow list of files or path globs.
  • The returned diff can be reviewed completely.
  • The project has local-llm-worker.toml.
  • The propose_patch and apply_patch MCP tools are available.

Keep work in the primary model when it determines architecture, changes trust or authentication boundaries, performs an ambiguous migration, spans many subsystems, handles secrets, or cannot be accepted from a bounded diff.

Delegate

  1. State the intended behavior and acceptance checks compactly.
  2. Select the narrowest useful allowed_paths. Prefer exact files; use a small directory glob only when the target file is not yet known.
  3. Call propose_patch with the absolute current repository path as workspace_root before independently implementing the change. Do not copy source files into supporting_context; the worker reads allowed files itself.
  4. Review every returned line, touched path, warning, and statistic. Reject unrelated behavior, unexplained changes, or an unexpectedly large proposal.
  5. If acceptable, call apply_patch with the returned proposal_id and exact sha256. Never reconstruct or substitute the digest.
  6. Review validation results and inspect the resulting workspace diff. The primary model remains accountable for correctness.
  7. On validation failure, either fix directly or request the one permitted repair using the failed proposal ID and identical path scope. Review the repair as a new proposal.

Read the full file on GitHub · 69 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 · 69 lines · 89 tokens per session scan A d34f0481961c

Subscribe to this mod's changes

delegate-local-worker is a skill published in the GitHub repository tushrv/local-llm-delegator (0 stars, last pushed 1mo ago), licensed MIT. It adds 89 tokens to every session and 674 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 2026-08-31.

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