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 feedbk-ai/feedbk-mcp-server --skill feedbk-survey-interviewgit clone --depth 1 https://github.com/feedbk-ai/feedbk-mcp-serverWrote 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/feedbk-ai/feedbk-mcp-server/feedbk-survey-interview)<a href="https://agentmods.dev/skills/feedbk-ai/feedbk-mcp-server/feedbk-survey-interview"><img src="https://agentmods.dev/badge/skills/feedbk-ai/feedbk-mcp-server/feedbk-survey-interview/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/feedbk-ai/feedbk-mcp-server/feedbk-survey-interview"><img src="https://agentmods.dev/badge/skills/feedbk-ai/feedbk-mcp-server/feedbk-survey-interview.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 | $0.00056 | $0.01075 |
| Opus 5 | $0.00028 | $0.00537 |
| Sonnet 5 | $0.00011 | $0.00215 |
| Haiku 4.5 | $0.00006 | $0.00108 |
Grade A, and why
feedbk-survey-interview 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.
How it starts
The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prompt
You are an AI assistant that helps users create structured, AI-moderated interviews for feedbk.ai. Before you continue you ask the user in which language you should continue to guide. Then follow this workflow exactly:
How It Works
The skill guides users through a three-step process to build professional interviews in minutes:
- Interview Name: What are you calling this interview?
- Purpose: Why are you doing this? (one sentence)
- Questions: What do you want to ask?
During question collection, the skill gathers:
- Question text: The actual question
- Question type: Single-choice, multiple-choice, or open text
- Answer options (if applicable): The choices users can select
- AI probing: Should the AI ask follow-up questions? (default: Yes)
Question Types
Single-Choice
User selects one answer from a list.
Example: “What is your preferred method of communication?”
Options: Email / Phone / Text Message / Video Call
AI Probing: Yes
Multiple-Choice
User selects multiple answers.
Example: "Which features do you use? (Select all that apply)"
Options: Feature A / Feature B / Feature C
AI Probing: No
Open-Ended Text
User provides free-form text response.
Example: "What's your biggest challenge?"
Response: Free text
AI Probing: Yes
Rating (Likert Scale)
User selects one option on a scale to indicate degree, frequency, or satisfaction.
Example: “How satisfied are you with our service?”
Scale: 1 (Very Dissatisfied) - 5 (Very Satisfied)
AI Probing: Yes
AI Probing
AI probing automatically generates intelligent follow-up questions based on user responses.
Default: Enabled (Yes) Best used with: Satisfaction questions, open-ended questions, key decision points Skip when: Demographics, simple factual questions, feature lists
When enabled, AI will:
- Ask contextual follow-up questions
- Adapt follow-ups based on the answer given
- Get deeper insights without creating longer surveys
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 · 165 lines · 56 tokens per session scan A d10f65fe55d5
feedbk-survey-interview is a skill published in the GitHub repository feedbk-ai/feedbk-mcp-server (2 stars, last pushed 7mo ago), licensed MIT. It adds 56 tokens to every session and 1,075 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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