auth

A browser-based GitHub sign-in flow that uses GitHub's Device Flow, so the user does not need to copy and paste a token.

In plain words
What is it for?
Checking login status, starting GitHub authentication when needed, and running FragCap scripts with the required data directory.
Why use it?
It provides a defined authentication path and tells the agent to stop and show errors instead of silently trying another command.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/fragcap/plugin/auth
Any agent
npx skills add fragcap/plugin --skill auth
Clone the repo
git clone --depth 1 https://github.com/fragcap/plugin

Made for: Claude Code, Codex.

Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 684 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00019 $0.00684
Opus 5 $0.00010 $0.00342
Sonnet 5 $0.00004 $0.00137
Haiku 4.5 $0.00002 $0.00068

Measured yesterday against content hash a1801622fc44, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

auth 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 yesterday.

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/auth/SKILL.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FragCap Authentication

Authenticate the user with GitHub using the App Device Flow. The entire flow happens in the browser — never ask the user to create or paste a token.

Script Convention

All FragCap scripts output JSON to stdout and need the data directory. Run them as:

FRAGCAP_DATA="${CLAUDE_PLUGIN_DATA}" node "${CLAUDE_PLUGIN_ROOT}/scripts/<name>.mjs" [args]

On Windows/PowerShell, use $env:FRAGCAP_DATA="..." syntax instead.

If a script exits with a non-zero code or returns { error: "..." }, stop immediately and surface the error to the user. Never silently retry with a different command or skip the step.

When to Activate

  • User runs /fragcap:auth
  • Another skill reports "not authenticated"

Flow

  1. Check existing auth — run: FRAGCAP_DATA="${CLAUDE_PLUGIN_DATA}" node "${CLAUDE_PLUGIN_ROOT}/scripts/auth-status.mjs"

    • If authenticated: true and not expired: tell the user they are already logged in as @{username} and stop.
    • If expired with refresh token available: inform the user their token will auto-refresh on next API call — no action needed.
    • Otherwise: proceed to step 2.
  2. Start Device Flow — run: FRAGCAP_DATA="${CLAUDE_PLUGIN_DATA}" node "${CLAUDE_PLUGIN_ROOT}/scripts/auth-start.mjs"

    • This returns immediately with verification_uri and user_code.
    • Display them clearly to the user:
    Please visit: {verification_uri}
    Enter the code: {user_code}
    
    Waiting for authorization...
    
  3. Stop and wait for the user — after displaying the URL and code, do not poll. Simply tell the user:

    After you've authorized in the browser, send me any message and I'll check the result.
    

    Then end your turn. Do not loop, sleep, or call auth-poll.mjs yet.

  4. Poll on user's next message — when the user sends a follow-up message, run: FRAGCAP_DATA="${CLAUDE_PLUGIN_DATA}" node "${CLAUDE_PLUGIN_ROOT}/scripts/auth-poll.mjs" once.

    • success: true — confirm: "Authenticated as @{username}. You can now use /fragcap:push, /fragcap:list, and other commands."
    • pending: true — tell the user authorization hasn't completed yet, ask them to finish in the browser and send another message.
    • success: false with error — show the error message. If timeout or code expired, suggest running /fragcap:auth again.

Read the full file on GitHub · 58 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. yesterday First seen · 58 lines · 19 tokens per session scan A a1801622fc44

Subscribe to this mod's changes

auth is a skill published in the GitHub repository fragcap/plugin (2 stars, last pushed 5mo ago), licensed MIT. It adds 19 tokens to every session and 684 once invoked, about $0.0001 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.

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