flagship

flagship is a command for Claude Code from Fandhe-AI/agent-reference-skills. It costs 0 tokens per session (4,919 once invoked), scanned A, original, no licence file.

A command-line reference for managing Flagship applications and feature flags with Wrangler. Feature flags let you turn product behaviour on or off for selected users or environments.

In plain words
What is it for?
Use it to work with Flagship apps and feature flags in Wrangler v4.107.0 or later.
Why use it?
It lets you manage these settings from the command line instead of using a separate dashboard.

Command for Claude Code

Written for Claude Code: a Claude Code command (commands/*.md).

Good fit Use it to work with Flagship apps and feature flags in Wrangler v4.107.0 or later.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/fandhe-ai/agent-reference-skills/flagship
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.

Clone the repo
git clone --depth 1 https://github.com/Fandhe-AI/agent-reference-skills

Made for: Claude Code.

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 flagship

README.md
[![agentmods](https://agentmods.dev/badge/commands/fandhe-ai/agent-reference-skills/flagship/github.svg)](https://agentmods.dev/commands/fandhe-ai/agent-reference-skills/flagship)
Your own site
<a href="https://agentmods.dev/commands/fandhe-ai/agent-reference-skills/flagship"><img src="https://agentmods.dev/badge/commands/fandhe-ai/agent-reference-skills/flagship/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 flagship

Your own site · 80×15
<a href="https://agentmods.dev/commands/fandhe-ai/agent-reference-skills/flagship"><img src="https://agentmods.dev/badge/commands/fandhe-ai/agent-reference-skills/flagship.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,919 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 unknown 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 $0.00000 $0.04919
Opus 5.5 $0.00000 $0.01968
Sonnet 5.5 $0.00000 $0.00984
Haiku 4.5 $0.00000 $0.00492

Measured 2d ago against content hash 93e9d42c5425, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

flagship 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.

skills/cloudflare-wrangler/references/commands/flagship.md · 404 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 2d ago First seen · 404 lines · 0 tokens per session scan A 93e9d42c5425

Subscribe to this mod's changes

flagship is a command published in the GitHub repository Fandhe-AI/agent-reference-skills (4 stars, last pushed 2d ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 4,919 tokens. 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 2026-11-04.

Related

flagship compared with commands from other repositories

flagship next to 6 commands from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
flagshipFandhe-AI/agent-reference-skillsCommand42d agononeA0Claude Code
cost-optimizewshobson/agentsCommand42kyesterdayMITA26Claude Code
deploybutterbase-ai/butterbase-skillsCommand5356d agoMITA20Claude Code
envvercel/vercel-pluginCommand326yesterdaynoneA35Claude Code
firebase-publishPierry/harness-kitCommand41mo agoMITA20Claude Code
scanprajapatimehul/claude-aws-cost-saverCommand244mo agoMITA6Claude Code
migrationdatabayt/hogwartsCommand183d agononeA4Claude Code