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/mcpgateway/mcaf-feature-specnpx skills add managedcode/MCPGateway --skill mcaf-feature-specgit clone --depth 1 https://github.com/managedcode/MCPGatewayWhat 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 | $0.00067 | $0.00816 |
| Opus 5 | $0.00034 | $0.00408 |
| Sonnet 5 | $0.00013 | $0.00163 |
| Haiku 4.5 | $0.00007 | $0.00082 |
Grade A, and why
mcaf-feature-spec 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
86% identical to dotnet-mcaf-feature-spec — 27 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCAF: Feature Spec
Trigger On
- add or change non-trivial behaviour
- behaviour is under-specified and engineers are guessing
- tests need a stable behavioural source of truth
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
- architecture decisions that need alternatives and trade-offs
- tiny typo or cosmetic-only changes with no behavioural impact
Inputs
docs/Architecture/Overview.md- the nearest
AGENTS.md - current user flows, business rules, and acceptance 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
- Define scope first: in scope, out of scope, boundaries touched.
- If the feature doc is missing, scaffold from
references/feature-template.md. - Keep the spec executable:
- numbered rules
- main flow
- edge and failure flows
- system behaviour
- verification steps
- Definition of Done
- Make the spec concrete enough that tests can be written without guessing.
- If the feature creates a new dependency, boundary, or major policy shift, update an ADR too.
Deliver
docs/Features/feature-name.md- a feature spec that engineers and agents can implement directly
Validate
- rules are testable, not aspirational
- edge cases are captured where they matter
- verification steps match the intended behaviour
- the doc can drive implementation without hidden tribal knowledge
Ralph Loop
Use the Ralph Loop for every task, including docs, architecture, testing, and tooling work.
- Plan first (mandatory):
- analyze current state
- define target outcome, constraints, and risks
- write a detailed execution plan
- 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
1 file 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.
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 · 100 lines · 67 tokens per session scan A 4a0c557c830c
mcaf-feature-spec is a skill published in the GitHub repository managedcode/MCPGateway (5 stars, last pushed 2d ago), licensed MIT. It adds 67 tokens to every session and 816 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to dotnet-mcaf-feature-spec, differing in 27 lines, and is treated as a copy.
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