derive-nfr-from-driver

derive-nfr-from-driver is a skill for Claude Code, Codex from andreaswasita/copilot-agents-dojo. It costs 18 tokens per session (1,326 once invoked), scanned A, original, MIT.

A guide for turning an approved business goal and its functional requirements into measurable non-functional requirements, such as targets for speed, uptime, growth capacity, or accessibility. It only works from requirements that have already been approved and recorded.

In plain words
What is it for?
Use it during solution design to define measurable quality targets and maintain links between business goals, functional requirements, and those targets.
Why use it?
It replaces vague expectations like “fast” with testable targets and prevents requirements from being linked to goals that do not exist or have not been approved.

Skill for Claude CodeCodex

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

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is bash scripts/verify-traceability.sh requirements/<engagement>.

Good fit Use it during solution design to define measurable quality targets and maintain links between business goals, functional requirements, and those targets.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/andreaswasita/copilot-agents-dojo
agentmods
npx agentmods add skills/andreaswasita/copilot-agents-dojo/derive-nfr-from-driver

Made for: Claude Code, Codex.

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README.md
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Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,326 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00018 $0.01326
Opus 5 $0.00009 $0.00663
Sonnet 5 $0.00004 $0.00265
Haiku 4.5 $0.00002 $0.00133

Measured 12d ago against content hash a9da8cd60301, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

derive-nfr-from-driver 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/derive-nfr-from-driver/SKILL.md · 144 lines

How it starts

The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Derive NFR From Driver

Turns a ratified business driver (BR) — and the functional requirements (FRs) derived from it — into measurable Non-Functional Requirements with verified parentage. This skill does NOT elicit drivers and does NOT invent FRs; it derives NFRs against parents that already exist on disk.

When to Use

  • A BR-* and at least one FR-* exist for the engagement and need performance, availability, scalability, or accessibility targets before Phase D begins.
  • The architect is about to design components and needs SLO-shaped inputs, not adjectives.
  • A reviewer asks "what does fast mean?" — derive an NFR with a numeric target instead of arguing prose.
  • NOT when the driver itself is unratified — go to requirements-elicitation first.

Prerequisites

  • requirements/<engagement>/BR/ contains at least one ratified BR-* artifact (ratified_by is non-empty).
  • requirements/<engagement>/FR/ contains the FR(s) this NFR will constrain.
  • spec/artifact-schema.md is the contract for frontmatter fields.

If a prerequisite is missing the skill must stop and report — never emit an NFR pointing at a non-existent or unratified parent.

How to Run

# 1. Confirm the parent exists and is ratified
bash scripts/verify-traceability.sh requirements/<engagement>

# 2. Create the NFR file (filename MUST equal {id}.md)
#    Then run the gate again to prove the new link resolves
bash scripts/verify-traceability.sh requirements/<engagement>

Quick Reference

Action Tool Notes
Read parent BR/FR view Get the exact id values.
List existing NFRs glob requirements/<engagement>/NFR/*.md Pick the next free NFR-NNN.
Write NFR create Frontmatter per spec/artifact-schema.md.
Verify lineage bash scripts/verify-traceability.sh Must pass before commit.

The frontmatter the agent emits:

---
id: NFR-007
layer: NFR
title: Classification latency under load
parent_ids: [BR-001, FR-002]
owner: [email protected]
measurable: true
ratified_by: ""
target: "p95 < 2s on 3G, p99 < 4s"
derivation_skill: derive-nfr-from-driver
tags: [latency, classification]
---

Read the full file on GitHub · 144 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 · 144 lines · 18 tokens per session scan A a9da8cd60301

Subscribe to this mod's changes

derive-nfr-from-driver is a skill published in the GitHub repository andreaswasita/copilot-agents-dojo (53 stars, last pushed 4d ago), licensed MIT. It adds 18 tokens to every session and 1,326 once invoked, about $0.0001 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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