PrompterOne: Skill for Codex

.codex/skills/dotnet-mcaf-nfr/SKILL.md

dotnet-mcaf-nfr is a skill for Codex from managedcode/PrompterOne. It costs 54 tokens per session (844 once invoked), scanned A, original, MIT.

A guide for defining non-functional requirements: quality expectations beyond what software does, such as accessibility, reliability, performance, scalability, maintainability, and compliance.

In plain words
What is it for?
Use it when a feature or architecture change needs clear quality targets, or when documentation, tests, and operational expectations do not agree.
Why use it?
Words like “fast” or “secure” are too vague to guide implementation or testing. This turns those expectations into explicit requirements and trade-offs.

Skill for Codex

Written for Codex: installed under .codex/. Also seen: mentions AGENTS.md.

This is managedcode/PrompterOne's own configuration. It tells Codex how to work on PrompterOne itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything PrompterOne configures →

Reuse

Borrowing it

Nothing to install: this file belongs to managedcode/PrompterOne. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/managedcode/PrompterOne/main/.codex/skills/dotnet-mcaf-nfr/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/managedcode/PrompterOne

Made for: Codex.

Wrote this? Show the measurements

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README.md
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Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/managedcode/prompterone/dotnet-mcaf-nfr"><img src="https://agentmods.dev/badge/skills/managedcode/prompterone/dotnet-mcaf-nfr.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 844 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 $0.00844
Opus 5.5 $0.00022 $0.00338
Sonnet 5.5 $0.00011 $0.00169
Haiku 4.5 $0.00005 $0.00084

Measured 1mo ago against content hash 92f5f27f6b15, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dotnet-mcaf-nfr 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 1mo 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.

Origin

Copies of this mod

3 near-identical copies found in the catalogue:

.codex/skills/dotnet-mcaf-nfr/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MCAF: Non-Functional Requirements

Trigger On

  • a feature or architecture change needs explicit quality attributes
  • a team is using vague words like "fast", "reliable", or "secure" without measurable meaning
  • docs, ADRs, and tests are out of sync on quality expectations

Value

  • produce a concrete project delta: code, docs, config, tests, CI, or review artifact
  • reduce ambiguity through explicit planning, verification, and final validation skills
  • leave reusable project context so future tasks are faster and safer

Do Not Use For

  • generic architecture or feature writing with no quality-attribute decision
  • loading all NFR references at once

Inputs

  • the changed feature, boundary, or rollout path
  • the quality attributes that materially affect it
  • current docs, ADRs, tests, and ops expectations

Quick Start

  1. Read the nearest AGENTS.md and confirm scope and constraints.
  2. Run this skill's Workflow through the Ralph Loop until outcomes are acceptable.
  3. Return the Required Result Format with concrete artifacts and verification evidence.

Workflow

  1. Decide which quality attributes materially affect the change.
  2. Turn vague goals into explicit requirements, constraints, or testable expectations.
  3. Link NFRs to feature docs, ADRs, and verification when they affect design or rollout.
  4. Use only the specific reference files that match the active quality attribute.

Deliver

  • explicit NFRs for the changed area
  • docs or ADRs that describe measurable quality attributes
  • better alignment between architecture, testing, and operations

Validate

  • each chosen NFR is measurable or at least falsifiable
  • the selected attributes are the ones that actually drive design trade-offs
  • verification and operational expectations are linked where needed

Ralph Loop

Use the Ralph Loop for every task, including docs, architecture, testing, and tooling work.

  1. Brainstorm first (mandatory):
    • analyze current state
    • define the problem, target outcome, constraints, and risks
    • generate options and think through trade-offs before committing
    • capture the recommended direction and open questions
  2. Plan second (mandatory):
    • write a detailed execution plan from the chosen direction
    • list final validation skills to run at the end, with order and reason
  3. Execute one planned step and produce a concrete delta.
  4. Review the result and capture findings with actionable next fixes.
  5. Apply fixes in small batches and rerun the relevant checks or review steps.
  6. Update the plan after each iteration.
  7. Repeat until outcomes are acceptable or only explicit exceptions remain.
  8. If a dependency is missing, bootstrap it or return status: not_applicable with explicit reason and fallback path.

Read the full file on GitHub · 96 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. 1mo ago First seen · 96 lines · 54 tokens per session scan A 92f5f27f6b15

Subscribe to this mod's changes

dotnet-mcaf-nfr is a skill published in the GitHub repository managedcode/PrompterOne (45 stars, last pushed 5mo ago), licensed MIT. It adds 54 tokens to every session and 844 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.

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