faf-expert

faf-expert is a skill for Claude Code from Wolfe-Jam/faf-cli. It costs 82 tokens per session (2,140 once invoked), scanned A, original, MIT.

An expert guide to FAF files, a YAML-based project-context file that records information an AI assistant needs across sessions and tools. It also covers the faf-cli toolkit and syncing this context with files such as CLAUDE.md or AGENTS.md.

In plain words
What is it for?
Use it to create, edit, score, or sync .faf files and to understand the Foundational Context Layer described by the toolkit.
Why use it?
It helps keep project knowledge consistent when different AI assistants or coding sessions work on the same codebase.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions CLAUDE.md; mentions Claude Code; mentions AGENTS.md.

Part of the faf plugin — 1 skill, 1 command shipped together

Good fit Use it to create, edit, score, or sync .faf files and to understand the Foundational Context Layer described by the toolkit.

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

Made for: Claude Code.

Or install faf, the plugin that ships this one along with the rest of its 1 skill, 1 command.

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-expert

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/wolfe-jam/faf-cli/faf-expert"><img src="https://agentmods.dev/badge/skills/wolfe-jam/faf-cli/faf-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,140 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 warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 31
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 36
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
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 $0.00082 $0.02140
Opus 5.5 $0.00033 $0.00856
Sonnet 5.5 $0.00016 $0.00428
Haiku 4.5 $0.00008 $0.00214

Measured 1mo ago against content hash 32099a26f302, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

faf-expert 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.

skills/faf-expert/SKILL.md · 175 lines

How it starts

The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FAF Expert — Persistent Project Context Specialist

What is .faf?

The .faf file is Persistent Project Context for AI — a single source of truth that survives across sessions, tools, and AI assistants.

  • IANA-registered media type: application/vnd.faf+yaml (registered Oct 30, 2025)
  • Anthropic-listed: modelcontextprotocol/servers PR #2759 — claude-faf-mcp shipped as "Persistent Project Context Server" (merged Oct 17, 2025)
  • Git-native: project.faf versions with your code; every clone gets full AI context
  • The CLI behind the FCL — the Foundational Context Layer for AI

The credo: FAF defines. AGENTS.md instructs. AI codes.

When to activate this skill

  • Creating, editing, or scoring .faf files
  • Syncing .faf → CLAUDE.md, or exporting it to AGENTS.md, .cursorrules, GEMINI.md
  • Diagnosing sub-Trophy scores and reaching 🏆 100%
  • Explaining the FCL, tier system, or app-type ladder
  • Connecting .faf work to the broader receipts: IANA, Anthropic PR #2759, MCP Registry

Install the CLI

bunx faf                       # Bun — zero install, fastest
npx faf                        # npm — works everywhere
npm install -g faf-cli         # global install
brew install faf-cli           # Homebrew

faf is the verb across every surface: bunx faf, npx faf, /faf (Claude Code plugin), faf (global). Bare faf shows your project's score; faf auto detects and fills.

The workflow

faf init → faf auto → faf go → 🏆 Trophy 100%
Command What it does
faf init Create a project.faf scaffold for your project
faf auto Auto-detect stack, fill what's detectable, score
faf go Guided interview to fill the remaining slots → Trophy
faf score Check current AI-readiness (0–100%)
faf sync Write CLAUDE.md from .faf (one way)
faf compile .faf → .fafb binary (sealed, portable, deterministic)
faf check Validate .faf structure
faf info Version + system info

Read the full file on GitHub · 175 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 Changed 32099a26f302
  2. 1mo ago Changed 51e277dec976
  3. 1mo ago First seen · 175 lines · 82 tokens per session scan A 5db297dab44e

Subscribe to this mod's changes

faf-expert is a skill published in the GitHub repository Wolfe-Jam/faf-cli (42 stars, last pushed yesterday), licensed MIT. It adds 82 tokens to every session and 2,140 once invoked, about $0.0003 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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