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 skills add rooney2020/qt-interactive-feedback-mcp --skill feedback-guardgit clone --depth 1 https://github.com/rooney2020/qt-interactive-feedback-mcpWrote 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.
[](https://agentmods.dev/skills/rooney2020/qt-interactive-feedback-mcp/feedback-guard)<a href="https://agentmods.dev/skills/rooney2020/qt-interactive-feedback-mcp/feedback-guard"><img src="https://agentmods.dev/badge/skills/rooney2020/qt-interactive-feedback-mcp/feedback-guard/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.
<a href="https://agentmods.dev/skills/rooney2020/qt-interactive-feedback-mcp/feedback-guard"><img src="https://agentmods.dev/badge/skills/rooney2020/qt-interactive-feedback-mcp/feedback-guard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00030 | $0.00312 |
| Opus 5 | $0.00015 | $0.00156 |
| Sonnet 5 | $0.00006 | $0.00062 |
| Haiku 4.5 | $0.00003 | $0.00031 |
Grade A, and why
feedback-guard 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 10d 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.
What it actually says
Feedback Guard Skill
目标
防止出现“回复结束但未调用 feedback”的情况，保证会话持续闭环。
触发词
- feedback
- 反馈
- 漏调
- 不要停
- 继续沟通
- 结束会话确认
标准流程
- 读取用户最新输入。
- 执行任务（可调用工具）。
- 执行反馈闸门检查：
- 本轮是否已经调用
interactive_feedback？ - 是否已有活跃 feedback 在等待？
- 用户是否明确“结束”？
- 本轮是否已经调用
- 若未结束且未反馈，立即调用
interactive_feedback。
失败处理
- 心跳：静默重连。
- 超时/断开：立即重试。
- 连续 3 次真错误：降级
AskQuestion。 - 下一次交互优先恢复
interactive_feedback。
输出要求
- 全中文。
- 给出简短进度说明。
- 每次交互都保留可继续操作选项。
最小自检清单
- 是否调用了 feedback？
- 是否错误地提前收尾？
- 是否提供结束选项和工具切换选项？
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.
- 10d ago First seen · 49 lines · 30 tokens per session scan A d0e301e8d46d
feedback-guard is a skill published in the GitHub repository rooney2020/qt-interactive-feedback-mcp (16 stars, last pushed 4mo ago), licensed MIT. It adds 30 tokens to every session and 312 once invoked, about $0.0002 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 2026-08-30.
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