thin-worker-brief

thin-worker-brief is a skill for Claude Code, Codex from houshuang/limbic. It costs 103 tokens per session (1,108 once invoked), scanned A, original, MIT.

A short-briefing guide for delegating work to subagents, which are smaller AI workers handling a specific task. It explains when delegation is suitable and what to put in a compact WORKER.md file.

In plain words
What is it for?
Use it when deciding whether to delegate, choosing a worker model and tool budget, or writing a brief with the needed schema, commands, and task details.
Why use it?
It reduces the time and context subagents spend relearning a project, and helps avoid using a worker for tasks that a simple fixed procedure could handle.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it when deciding whether to delegate, choosing a worker model and tool budget, or writing a brief with the needed schema, commands, and task details.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/houshuang/limbic/thin-worker-brief
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 houshuang/limbic --skill thin-worker-brief
Clone the repo
git clone --depth 1 https://github.com/houshuang/limbic

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.

agentmods badge for thin-worker-brief

README.md
[![agentmods](https://agentmods.dev/badge/skills/houshuang/limbic/thin-worker-brief/github.svg)](https://agentmods.dev/skills/houshuang/limbic/thin-worker-brief)
Your own site
<a href="https://agentmods.dev/skills/houshuang/limbic/thin-worker-brief"><img src="https://agentmods.dev/badge/skills/houshuang/limbic/thin-worker-brief/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 thin-worker-brief

Your own site · 80×15
<a href="https://agentmods.dev/skills/houshuang/limbic/thin-worker-brief"><img src="https://agentmods.dev/badge/skills/houshuang/limbic/thin-worker-brief.svg" alt="Reviewed on agentmods" width="80" 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 1,108 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 $0.00103 $0.01108
Opus 5.5 $0.00041 $0.00443
Sonnet 5.5 $0.00021 $0.00222
Haiku 4.5 $0.00010 $0.00111

Measured 9d ago against content hash 0f3ba56747e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-01, from the pricing page.

Security

Grade A, and why

thin-worker-brief 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 9d 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.

skills/thin-worker-brief/SKILL.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Thin worker brief

Every subagent re-reads its whole entrance context on each turn. Measured median entrance fee: 51.5K tokens, before the worker does anything. A 50K-token instruction stack is therefore not documentation, it is a per-turn tax — and in the project that had one, workers still made 1,516 hand-rolled sqlite3 calls and rediscovered the schema 332 times in a month.

So: decide whether to delegate at all, then make the brief small.

Delegate only when the work is not a call

A subagent is the right tool for judgement, search across an unknown surface, and review. It is the wrong tool for applying a codebook to N documents — that is packet-worker, and the gap is 95×. Before spawning, ask whether a stateless call with a fixed schema does the job.

The brief: ≤ 2K tokens

A WORKER.md of four parts, and nothing else:

  1. Schema card. The tables or record shape the worker touches, with the traps inline ("normalized_name is only lower(name): no diacritic folding"; "prf_id is TEXT"; "a title can be numeric-looking, never assume a string"). One screen. This replaces the rediscovery loop.
  2. The lookup CLI, with four example invocations. Not "query the database" — the exact command. A documented-but-broken CLI is worse than none: one crashed on an integer title, took 5 s and missed the obvious query, and was called twice in a month against 1,516 raw sqlite3 calls. Verify yours runs before you ship the brief.
  3. The proposal template, and the statement that the worker proposes and never writes.
  4. Fetch helpers and flags the worker will otherwise reinvent (the no-metrics query param, the offline snapshot path, the rate limit).

A named reading list, never "read the docs". Name the file and the section: CODEBOOK.md §11 borderline rules, not CODEBOOK.md. An unbounded pointer is read in full, on every turn, by every worker.

State the pinned revision (a SHA, not "main") and the worker's write scope as literal paths.

Read the full file on GitHub · 92 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. 9d ago First seen · 92 lines · 103 tokens per session scan A 0f3ba56747e8

Subscribe to this mod's changes

thin-worker-brief is a skill published in the GitHub repository houshuang/limbic (3 stars, last pushed 3d ago), licensed MIT. It adds 103 tokens to every session and 1,108 once invoked, about $0.0004 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 2026-09-22.

Related

Other skills, from other repositories

sentence-transformers

Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval. Supports multilingual, domain-specific, and multimodal models. Use for generating embeddings for RAG, semantic search, or similarity tasks. Best for production…

davila7/claude-code-templates · 67 tokens

cortex-distill

A skill for turning raw session records into organised notes and project documents. It uses a personal vault, which is a folder for storing and retrieving knowledge.

XBlueSky/cortexes · 41 tokens

cortex-broadcast

Propagate insights from a distilled Raw into related existing Notes/Projects pages through conversational per-page edits.

XBlueSky/cortexes · 81 tokens

cortex-query

A search tool for finding and retrieving information from Cortex, an external personal memory made up of stored notes and project pages.

XBlueSky/cortexes · 125 tokens

cortex-evolve

A tool that saves technical notes and project decisions to a Cortex vault, which is an Obsidian note collection stored as files.

XBlueSky/cortexes · 58 tokens

sentence-transformers

Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval. Supports multilingual, domain-specific, and multimodal models. Use for generating embeddings for RAG, semantic search, or similarity tasks. Best for production…

synthetic-sciences/openscience · 67 tokens