role-skill-pack-design

role-skill-pack-design is a skill for Codex from markoblogo/abvx-agent-skills. It costs 54 tokens per session (811 once invoked), scanned A, original, MIT.

A design method for creating collections of agent skills for specific roles or workflows. It separates shared instructions from the rules that differ by role, product, or level of review.

In plain words
What is it for?
Use it to design, structure, and roll out reusable skill packs for teams, products, or operating roles.
Why use it?
It helps keep agent instructions focused and maintainable as teams add more roles and use cases. It also makes boundaries and escalation points explicit.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to design, structure, and roll out reusable skill packs for teams, products, or operating roles.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/markoblogo/abvx-agent-skills/role-skill-pack-design
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 markoblogo/abvx-agent-skills --skill role-skill-pack-design
Clone the repo
git clone --depth 1 https://github.com/markoblogo/abvx-agent-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 role-skill-pack-design

README.md
[![agentmods](https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/role-skill-pack-design/github.svg)](https://agentmods.dev/skills/markoblogo/abvx-agent-skills/role-skill-pack-design)
Your own site
<a href="https://agentmods.dev/skills/markoblogo/abvx-agent-skills/role-skill-pack-design"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/role-skill-pack-design/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 role-skill-pack-design

Your own site · 80×15
<a href="https://agentmods.dev/skills/markoblogo/abvx-agent-skills/role-skill-pack-design"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/role-skill-pack-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 811 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 $0.00054 $0.00811
Opus 5 $0.00027 $0.00405
Sonnet 5 $0.00011 $0.00162
Haiku 4.5 $0.00005 $0.00081

Measured 3d ago against content hash 0ec05c0fa735, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

role-skill-pack-design 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 3d 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/role-skill-pack-design/SKILL.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Role Skill Pack Design

Design a reusable skill pack for role-based or workflow-based agent behavior. Treat external role catalogs as donor material that must be adapted to the actual domain and runtime.

Goal

Produce a pack that is:

  • compact at the top level;
  • layered by role or workflow;
  • explicit about boundaries and escalation;
  • easy to audit and extend.

Workflow

  1. Define the pack scope
    • name the product, team, or operating surface;
    • list who the pack is for;
    • separate runtime-assistant use from development-agent use if both exist.
    • distinguish a role profile, a prompted assistant, and an agent with tools; do not claim a later maturity level from documentation alone.
  2. Qualify professional-role donors
    • extract useful responsibilities, workflows, deliverables, and escalation patterns;
    • discard pseudo-memory, unsupported expertise claims, fixed universal metrics, undeclared tools, and authority assumptions;
    • retain source, license, selected patterns, and deviations.
  3. Inventory shared vs specialized behavior
    • identify what every role shares;
    • identify what changes by role, workflow, or review depth;
    • avoid creating separate skills when a difference layer would be enough.
  4. Choose the pack structure
    • keep one directory per skill;
    • keep SKILL.md short;
    • move detailed rules, examples, and schemas into references/.
  5. Model inheritance explicitly
    • define the base workflow skill first;
    • define supervisory or wider-scope skills as difference layers on top of the base;
    • document when a user should switch to a narrower or wider mode.
  6. Define boundaries
    • list what the assistant can do;
    • list what it must escalate, refuse, or leave to humans;
    • separate guidance, draft help, and verification from state-changing authority.
  7. Define routing and handoffs
    • define signals that activate the role and signals that require another specialist;
    • select one primary role and only the supporting roles needed for the task;
    • keep context and memory scoped to the selected domain;
    • make cross-role outputs explicit artifacts or handoffs.
  8. Define evaluation and promotion
    • test representative positive, negative, and multi-role requests;
    • measure task outcome, unsupported claims, context cost, boundary violations, and handoff quality;
    • promote authority separately from prompt quality.
  9. Define rollout order
    • start with the smallest set that proves the pattern;
    • prefer 2-3 core skills before a full role matrix;
    • add later skills only after the first pack is stable in use.
  10. Produce the design summary
  • pack purpose;
  • skill list;
  • private vs reusable notes;
  • known gaps and next additions.

Read the full file on GitHub · 83 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. 3d ago Changed · +18 lines · -3 tokens per session 0ec05c0fa735
  2. 9d ago First seen · 65 lines · 57 tokens per session scan A b40a289773a3

Subscribe to this mod's changes

role-skill-pack-design is a skill published in the GitHub repository markoblogo/abvx-agent-skills (16 stars, last pushed yesterday), licensed MIT. It adds 54 tokens to every session and 811 once invoked, about $0.0003 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 2026-09-03.