setup-feedback-server

A setup assistant for FeedbackKit, a service for collecting and managing app feedback. It connects your account, creates the first product, and helps add the Apple app connection.

In plain words
What is it for?
Use it when installing or upgrading FeedbackKit, authenticating by email or invitation, creating the first product, integrating the Apple SDK, or checking setup status.
Why use it?
It removes the guesswork from first-time installation, sign-in, account linking, and diagnosing connection problems.

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/rabithua/feedbackserverplugin/setup-feedback-server
Any agent
npx skills add Rabithua/FeedbackServerPlugin --skill setup-feedback-server
Clone the repo
git clone --depth 1 https://github.com/Rabithua/FeedbackServerPlugin

Made for: Claude Code, Codex.

Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 887 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 $0.00059 $0.00887
Opus 5 $0.00030 $0.00443
Sonnet 5 $0.00012 $0.00177
Haiku 4.5 $0.00006 $0.00089

Measured yesterday against content hash 6276030bb8bc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

setup-feedback-server 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.

plugins/feedback-server/skills/setup-feedback-server/SKILL.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Set up FeedbackKit

FeedbackKit uses the hosted https://api.feedkit.cn/mcp connector. Do not look for or run a local MCP process, Bun runtime, CLI, local authentication store, or credential file. OAuth credentials belong to the host and must never be requested, displayed, copied, or written by the Agent.

OAuth connection and account binding

Anonymous access is limited to MCP discovery and health. The authenticate tool is OAuth2-protected with an empty scopes list. Its first invocation lets the host complete OAuth, but OAuth success leaves the connection unbound and grants no FeedbackKit account access.

Install or upgrade the trusted feedback-server plugin, then select exactly one authentication method from explicit user input. Do not guess between methods.

Email

  1. Call authenticate({ method: "email", value: email }) with the user's exact email as value. The protected call causes the host to complete OAuth when needed; once OAuth returns, call the same method to bind the account.
  2. Expect pending_verification. Tell the user to click the one-time link in the email. Never ask the user to paste the link or any verification material into the conversation.
  3. Observe completion with authentication_status, respecting any returned retry timing. Continue only when the status reports that the account is bound.

Invitation

  1. Read the invitation code from the user-supplied invitation Prompt and call authenticate({ method: "invitation", value: invitationCode }). Pass the code only as value; do not repeat it in chat, logs, commands, previews, or the final response.
  2. The protected call causes the host to complete OAuth when needed; once OAuth returns, call the same method to bind the account.
  3. Successful invitation authentication binds immediately. Do not ask the user to enter anything in the OAuth browser or complete email verification.

After either method binds the account, call connection_status. If it still reports an unbound connection, return to authenticate or authentication_status as directed; do not enter Product onboarding early.

Read the full file on GitHub · 71 lines

Files

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.

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 · 71 lines · 59 tokens per session scan A 6276030bb8bc

Subscribe to this mod's changes

setup-feedback-server is a skill published in the GitHub repository Rabithua/FeedbackServerPlugin (0 stars, last pushed 2d ago), licensed MIT. It adds 59 tokens to every session and 887 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.

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