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.
npx agentmods add skills/managedcode/dotpilot/mcaf-nfrnpx skills add managedcode/dotPilot --skill mcaf-nfrgit clone --depth 1 https://github.com/managedcode/dotPilotWhat 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 | $0.00042 | $0.00832 |
| Opus 5 | $0.00021 | $0.00416 |
| Sonnet 5 | $0.00008 | $0.00166 |
| Haiku 4.5 | $0.00004 | $0.00083 |
Grade A, and why
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 2d 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.
This is a copy
91% identical to dotnet-mcaf-nfr — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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
- Read the nearest
AGENTS.mdand confirm scope and constraints. - Run this skill's
Workflowthrough theRalph Loopuntil outcomes are acceptable. - Return the
Required Result Formatwith concrete artifacts and verification evidence.
Workflow
- Decide which quality attributes materially affect the change.
- Turn vague goals into explicit requirements, constraints, or testable expectations.
- Link NFRs to feature docs, ADRs, and verification when they affect design or rollout.
- 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.
- 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
- 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
- Execute one planned step and produce a concrete delta.
- Review the result and capture findings with actionable next fixes.
- Apply fixes in small batches and rerun the relevant checks or review steps.
- Update the plan after each iteration.
- Repeat until outcomes are acceptable or only explicit exceptions remain.
- If a dependency is missing, bootstrap it or return
status: not_applicablewith explicit reason and fallback path.
What ships with it
14 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.
- references/accessibility.md 422 B
- references/availability.md 354 B
- references/capacity.md 312 B
- references/compliance.md 3.8 KB
- references/data-integrity.md 3.4 KB
- references/disaster-recovery.md 324 B
- references/internationalization.md 2.9 KB
- references/interoperability.md 1.7 KB
- references/maintainability.md 374 B
- references/performance.md 285 B
- references/portability.md 3.3 KB
- references/reliability.md 327 B
- references/scalability.md 1.7 KB
- references/usability.md 3.5 KB
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.
- 2d ago First seen · 96 lines · 42 tokens per session scan A 6eaa786e789c
mcaf-nfr is a skill published in the GitHub repository managedcode/dotPilot (23 stars, last pushed 4mo ago), licensed MIT. It adds 42 tokens to every session and 832 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to dotnet-mcaf-nfr, differing in 4 lines, and is treated as a copy.
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