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/administer-feedback-servernpx skills add Rabithua/FeedbackServerPlugin --skill administer-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 | $0.00056 | $0.00283 |
| Opus 5 | $0.00028 | $0.00142 |
| Sonnet 5 | $0.00011 | $0.00057 |
| Haiku 4.5 | $0.00006 | $0.00028 |
Grade A, and why
administer-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
Administer FeedbackServer
Use MCP tools for Products, subscription state, access, primary Product, keys, audit, and attachments.
Never infer subscription access or use undocumented grant routes. set_primary_product is protected:
show the transition and execute only through execute_confirmation after approval.
Account onboarding separates host OAuth from account binding. Route email or invitation
authentication, unbound connections, first Product creation, and Apple setup through
$setup-feedback-server. Passwords, usernames, and display names do not exist. The host stores
OAuth tokens; never request or return a token or email verification link to Agent context.
Waitlist invitation email belongs to $manage-waitlist: it defaults to Free, allows an explicitly
selected paid grant, and requires a redacted preview plus explicit confirmation. Never reproduce its
one-time token or rendered body.
Protected Product archival/deactivation, public defaults, key rotation, and permanent deletion
require a redacted preview and explicit approval. Then call execute_confirmation with the returned
ID. Resolve IDs and current preconditions again after stale-state errors.
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 · 24 lines · 56 tokens per session scan A 3dc5c3b9b4dd
administer-feedback-server is a skill published in the GitHub repository Rabithua/FeedbackServerPlugin (0 stars, last pushed 3d ago), licensed MIT. It adds 56 tokens to every session and 283 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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