What is dhub-skill-creator?

A guide for creating reusable instruction packages, called skills, that make an AI coding agent follow a specialist workflow. It covers the instructions, optional scripts and reference files, validation, packaging, and evaluations.

Use it to design a skill, organize its files, add scripts or reference material, validate its behavior, package it, and prepare it for Decision Hub.

It provides a structure for turning expert knowledge into a repeatable agent capability. This reduces guesswork when designing, testing, and publishing a skill.

dhub-skill-creator — Skill for Claude Code and Codex by pymc-labs

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 pymc-labs/decision-hub --skill dhub-skill-creator

Clone the repo

git clone --depth 1 https://github.com/pymc-labs/decision-hub

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/pymc-labs/decision-hub/dhub-skill-creator/github.svg)](https://agentmods.dev/skills/pymc-labs/decision-hub/dhub-skill-creator)

Your own site

<a href="https://agentmods.dev/skills/pymc-labs/decision-hub/dhub-skill-creator"><img src="https://agentmods.dev/badge/skills/pymc-labs/decision-hub/dhub-skill-creator/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/pymc-labs/decision-hub/dhub-skill-creator"><img src="https://agentmods.dev/badge/skills/pymc-labs/decision-hub/dhub-skill-creator.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 2,813 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 pass 7 Sept 2026

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.

Model	Per session	Once invoked
Fable 5.1	$0.00053	$0.02813
Opus 5.5	$0.00021	$0.01125
Sonnet 5.5	$0.00011	$0.00563
Haiku 4.5	$0.00005	$0.00281

Measured 2mo ago against content hash 55210c9af372, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dhub-skill-creator 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 2mo ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/init_skill.py, scripts/package_skill.py, scripts/validate_skill.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.

bootstrap-skills/dhub-skill-creator/SKILL.md · 238 lines

How it starts

The opening of the file, as written. The whole thing — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Decision Hub Skill Creator

Create modular skill packages (SKILL.md + optional resources) that turn Claude into a specialist. This skill guides the full lifecycle: define the domain, design the architecture, build and validate the skill, and package it for distribution.

For skills intended for Decision Hub, the workflow naturally extends into defining runtime environments and writing evaluation criteria — not as a separate mode, but as a natural consequence of what the skill needs.

Anatomy of an Effective Skill

What a Skill Contains

Progressive disclosure — each layer loads only when needed:

Metadata (always in context): name + description in frontmatter. Determines when the skill activates.
SKILL.md body (when triggered): The agent system prompt. Core procedures, workflow, constraints.
Bundled resources (as needed):
- scripts/ — deterministic code the agent executes via Bash
- references/ — domain knowledge the agent reads on demand
- assets/ — templates, sample data, output formats
- agents/ — subagent system prompts for delegation

Patterns That Make Skills Effective

Pattern	Why It Works	Example
Architecture diagram up front	Agent grasps the big picture before details	ASCII flow showing phase transitions
Review gates	Prevents runaway execution, gives user control points	"HARD STOP — present outline, wait for approval"
Subagent delegation	Separates concerns, each agent does one thing well	Actor-critic loop: generate → critique → revise
Anti-patterns / blacklists	Tells agent what NOT to do — as important as what to do	List of cliches to never use
Quality checklists	Actionable verification before output	Design system checklist with checkboxes
Sensible defaults	Reduces friction — ask only what's needed	Default assumptions table at skill start
Concrete examples	Shows expected behavior, not just rules	Good/bad output snippets inline

Read the full file on GitHub · 238 lines

Files

What ships with it

5 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.

2mo ago First seen · 238 lines · 53 tokens per session scan A 55210c9af372

Subscribe to this mod's changes

dhub-skill-creator is a skill published in the GitHub repository pymc-labs/decision-hub (113 stars, last pushed 17d ago), licensed MIT. It adds 53 tokens to every session and 2,813 once invoked, about $0.0002 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 2026-08-30.

Building agents

dhub-skill-creator next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
dhub-skill-creatorpymc-labs/decision-hub	Skill	113	17d ago	MIT	A	53	Claude Code, Codex
imagegenopenai/codex	Skill	134k	today	Apache-2.0	A	113	Codex
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	2d ago	MIT	A	200	Claude Code, Codex
playwright-climicrosoft/playwright	Skill	100k	yesterday	Apache-2.0	A	19	Claude Code
browser-automationopenclaw/openclaw	Skill	394k	today	MIT	A	36	Claude Code
systematic-debuggingobra/superpowers	Skill	315k	5d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	today	MIT	A	95	Claude Code