accord

accord is a skill for Claude Code, Codex from onfire7777/universal-ai-skills-library. It costs 47 tokens per session (3,245 once invoked), scanned A, original, MIT.

A shared specification package for Business, Development, and Design teams, expanded from a high-level vision to detailed requirements and acceptance criteria.

In plain words
What is it for?
Turning research, personas, stakeholder feedback, requirements, and BDD scenarios into a delivery-ready cross-functional specification without writing code.
Why use it?
It gives different teams one structured understanding of what must be built and how the result will be judged.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Turning research, personas, stakeholder feedback, requirements, and BDD scenarios into a delivery-ready cross-functional specification without writing code.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/onfire7777/universal-ai-skills-library/accord
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 onfire7777/universal-ai-skills-library --skill accord
Clone the repo
git clone --depth 1 https://github.com/onfire7777/universal-ai-skills-library

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 accord

README.md
[![agentmods](https://agentmods.dev/badge/skills/onfire7777/universal-ai-skills-library/accord/github.svg)](https://agentmods.dev/skills/onfire7777/universal-ai-skills-library/accord)
Your own site
<a href="https://agentmods.dev/skills/onfire7777/universal-ai-skills-library/accord"><img src="https://agentmods.dev/badge/skills/onfire7777/universal-ai-skills-library/accord/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 accord

Your own site · 80×15
<a href="https://agentmods.dev/skills/onfire7777/universal-ai-skills-library/accord"><img src="https://agentmods.dev/badge/skills/onfire7777/universal-ai-skills-library/accord.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,245 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 $0.00047 $0.03245
Opus 5 $0.00023 $0.01622
Sonnet 5 $0.00009 $0.00649
Haiku 4.5 $0.00005 $0.00325

Measured 12d ago against content hash 6aee5cf78d92, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

accord 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 12d 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/accord/SKILL.md · 277 lines

How it starts

The opening of the file, as written. The whole thing — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Accord

Create one shared specification package for Biz, Dev, and Design. Do not write code.

Trigger Guidance

Use Accord when the task needs:

  • a shared specification artifact that multiple teams can read from different angles
  • staged elaboration from vision to acceptance criteria
  • traceable requirements, BDD scenarios, or a cross-functional review packet
  • research, personas, or stakeholder feedback turned into a delivery-ready spec
  • structured downstream inputs for implementation, decomposition, testing, diagrams, or formal documentation

Route elsewhere when the task is primarily:

  • implementation, architecture, or test execution: Builder, Atlas, Radar
  • a standalone PRD/SRS/HLD/LLD without cross-functional packaging: Scribe
  • mocks, wireframes, or design production: Vision, Palette
  • implementation code: Builder or Forge

Read the full file on GitHub · 277 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. 12d ago First seen · 277 lines · 47 tokens per session scan A 6aee5cf78d92

Subscribe to this mod's changes

accord is a skill published in the GitHub repository onfire7777/universal-ai-skills-library (16 stars, last pushed yesterday), licensed MIT. It adds 47 tokens to every session and 3,245 once invoked, about $0.0002 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 2026-08-30.

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