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.
npx agentmods add skills/rabithua/feedbackserverplugin/manage-feedback-servernpx skills add Rabithua/FeedbackServerPlugin --skill manage-feedback-servergit clone --depth 1 https://github.com/Rabithua/FeedbackServerPluginWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00063 | $0.00346 |
| Opus 5 | $0.00032 | $0.00173 |
| Sonnet 5 | $0.00013 | $0.00069 |
| Haiku 4.5 | $0.00006 | $0.00035 |
Grade A, and why
manage-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.
What it actually says
Route FeedbackServer work
Use the smallest focused skill that covers the request:
$setup-feedback-serverfor installation, host OAuth, explicit account authentication, connection diagnosis, and first-app setup.$triage-feedbackfor inspecting, organizing, replying to, or deleting Product feedback and diagnostics.$manage-waitlistfor owner-scoped signup follow-up and deletion.$publish-roadmap-releasesfor Activity posts, public roadmap content, Releases, translations, or App Store changelog import.$configure-notificationsfor Bark and Product Webhook configuration or deliveries.$administer-feedback-serverfor Products, subscriptions, access, invitations, keys, audit, and attachments outside triage.
Use only the documented remote feedback-server MCP tools. There are no local CLI exceptions.
Never use direct SQL, production shell access, or
undocumented HTTP routes. Resolve explicit IDs instead of guessing. Do not mutate for requests that
only ask to inspect, draft, preview, plan, or summarize.
When a protected tool returns confirmation_required, show its redacted preview and wait for an
explicit approval. Then call execute_confirmation with only the returned confirmationId. The ID
is single-use, expires after ten minutes, and becomes invalid when the active connection, account,
endpoint, payload, or precondition changes.
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.
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.
- yesterday First seen · 26 lines · 63 tokens per session scan A b9a5b6bd8d6f
manage-feedback-server is a skill published in the GitHub repository Rabithua/FeedbackServerPlugin (0 stars, last pushed 3d ago), licensed MIT. It adds 63 tokens to every session and 346 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.
Other skills, from other repositories
trulens-evaluation-setup
Configure feedback functions and selectors for TruLens evaluations.
honesty-communication
当用户问怎么真诚沟通/拒绝别人/给反馈/不想说场面话、或发现自己在隐瞒时调用。 核心理念: 撒谎会先骗到自己(费曼: 你最容易愚弄的人是你); 彻底诚实=所想与所说一致; 具体表扬、一般批评; 秘密越少快乐越多。 不适用于: 需要外交辞令的谈判策略(可以诚实但不必全说)。 Triggers: 诚实/沟通/拒绝/批评/表扬/秘密/场面话/honesty/communication/feedback.
human-review
Open an HTML file, Markdown file, or localhost page in the browser so the user can edit text directly and leave comments on specific parts, then send all edits and comments back to you. Use after writing or updating something the user will read — specs, plans, reports, newsletter drafts, landing pages, slide decks…
Effective Memory
The essential habits for an AI agent with memory — session bookends, learning triggers, verification, safety, and the operational discipline that turns raw recall into compounding intelligence. Pinned, always-injected.
structured-code-review
Performs a structured five-stage code review covering requirements compliance, correctness, code quality, testing, and security/performance. Each stage uses targeted checklists and categorized feedback (Blocker/Major/Minor/Nit) with actionable suggestions and rationale. Use when the user asks for code review, PR…
self-improver
Review affiliate campaign results and improve strategy. Triggers on: "review my results", "what went wrong", "how to improve conversions", "analyze my campaign", "affiliate retrospective", "why am I not converting", "improve my strategy", "what should I change", "campaign review", "optimize my approach", "learn from…