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faf-go

faf-go is a skill for Claude Code from Wolfe-Jam/faf-skills. It costs 52 tokens per session (2,394 once invoked), scanned A, original, MIT.

A guided question-and-answer tool for filling in a project's `.faf` file, a portable file that records context an AI needs to understand the project.

In plain words
What is it for?
Use it to improve a `.faf` score, complete project context after setup, and record details such as the project's purpose and development goals.
Why use it?
It finds the information the codebase reveals and asks you only about the missing details, so you do not have to write the file from scratch.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions CLAUDE.md; names the AskUserQuestion tool; mentions Claude Code.

Part of the faf plugin — 7 skills shipped together

not rated 4repo 21d ago A scan 52 tokens original MIT

Good fit Use it to improve a .faf score, complete project context after setup, and record details such as the project's purpose and development goals.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wolfe-jam/faf-skills/faf-go
View source ↗ Wolfe-Jam/faf-skills skills.faf.one
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 Wolfe-Jam/faf-skills --skill faf-go
Clone the repo
git clone --depth 1 https://github.com/Wolfe-Jam/faf-skills

Made for: Claude Code.

Or install faf, the plugin that ships this one along with the rest of its 7 skills.

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 faf-go

README.md
[![agentmods](https://agentmods.dev/badge/skills/wolfe-jam/faf-skills/faf-go/github.svg)](https://agentmods.dev/skills/wolfe-jam/faf-skills/faf-go)
Your own site
<a href="https://agentmods.dev/skills/wolfe-jam/faf-skills/faf-go"><img src="https://agentmods.dev/badge/skills/wolfe-jam/faf-skills/faf-go/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 faf-go

Your own site · 80×15
<a href="https://agentmods.dev/skills/wolfe-jam/faf-skills/faf-go"><img src="https://agentmods.dev/badge/skills/wolfe-jam/faf-skills/faf-go.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,394 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 $0.00052 $0.02394
Opus 5 $0.00026 $0.01197
Sonnet 5 $0.00010 $0.00479
Haiku 4.5 $0.00005 $0.00239

Measured 8d ago against content hash c8524333ae02, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

faf-go 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 8d 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/faf-go/SKILL.md · 325 lines

How it starts

The opening of the file, as written. The whole thing — 325 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FAF Go — Guided Path to 100% ✪

"Just type /faf-go, answer questions till you're done. 100% target."

.faf is an IANA-registered context format (application/vnd.faf+yaml) — a typed, portable file you own, readable by any AI. faf-cli scores on 21 slots; your app_type selects which are active, and 100% ✪ = every active slot filled. This skill is the guided interview that gets you there: the AI fills what it can detect, then asks you — via Claude Code's AskUserQuestion — only for the gaps it can't source.

When to Use This Skill

Activate when:

  • User wants to improve their .faf score
  • User mentions "Gold Code" or "100%"
  • User has incomplete project context
  • After faf init to fill in missing fields
  • User says "help me with my .faf"

Integration with Claude Code

FAF Go is built FOR Claude Code:

  • AskUserQuestion - Native Claude Code UI for questions
  • multiSelect: true - Allow multiple answers (e.g., "pytest + WJTTC")
  • TodoWrite - Track progress through the interview
  • Structured output - JSON that Claude Code understands
  • Bi-sync - Answers flow to .faf AND CLAUDE.md

multiSelect Support

Some questions allow multiple selections:

  • stack.testing → "pytest + WJTTC"
  • stack.cicd → "GitHub Actions + Cloud Build"
  • stack.frontend → "React + Tailwind"
  • human_context.who → "Developers + AI agents"

When multiSelect: true, user can pick 2+ options. Results are joined with " + ".

Workflow

Step 1: Check Current State

Run faf score to understand current position:

faf score --verbose

Or get it as structured data for programmatic use:

faf score --json

--json returns the score + per-slot breakdown — the empty slots are what you interview on (the priority order is in Step 2).

Step 2: Ask Questions Using AskUserQuestion

For each missing field, use Claude Code's AskUserQuestion tool:

Priority Order (most impactful first):

  1. project.goal - What does this project do?
  2. human_context.why - Why does this exist?
  3. human_context.who - Who uses this?
  4. human_context.what - What problem does it solve?
  5. project.main_language - Primary language
  6. stack.database - Database choice
  7. stack.hosting - Where is it deployed?
  8. stack.frontend - Frontend framework
  9. stack.backend - Backend framework
  10. human_context.where - Environment
  11. human_context.when - Timeline/phase
  12. human_context.how - How the project is built (sourced from the stack)

Read the full file on GitHub · 325 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. 8d ago First seen · 325 lines · 52 tokens per session scan A c8524333ae02

Subscribe to this mod's changes

faf-go is a skill published in the GitHub repository Wolfe-Jam/faf-skills (4 stars, last pushed 21d ago), licensed MIT. It adds 52 tokens to every session and 2,394 once invoked, about $0.0003 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 2026-08-31.

Memory and contextaiclaudefafmcpskills
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