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 nanparth/ai-skill-hub --skill biz-interviewgit clone --depth 1 https://github.com/nanparth/ai-skill-hubWrote 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/nanparth/ai-skill-hub/biz-interview)<a href="https://agentmods.dev/skills/nanparth/ai-skill-hub/biz-interview"><img src="https://agentmods.dev/badge/skills/nanparth/ai-skill-hub/biz-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/nanparth/ai-skill-hub/biz-interview"><img src="https://agentmods.dev/badge/skills/nanparth/ai-skill-hub/biz-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 | $0.00074 | $0.00805 |
| Opus 5 | $0.00037 | $0.00402 |
| Sonnet 5 | $0.00015 | $0.00161 |
| Haiku 4.5 | $0.00007 | $0.00081 |
Grade A, and why
biz-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 12d 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
biz-interview
Design and process market research interview scripts and results for customer discovery and stakeholder research.
Dependencies
Core workflows need only the host assistant's normal ability to read and write files. The spreadsheet export scripts are optional and require Python plus openpyxl; install them with pip install -r requirements.txt from this skill folder.
Routing
| Intent | Route | Load reference? |
|---|---|---|
| Create a new exploratory interview script | workflows/create-exploratory-interview.md |
Yes: references/interview-design-reference.md |
| Reformat raw interview transcripts into clean result notes | workflows/reformat-interview-results.md |
No |
| Generate fictional interview results for testing or training | workflows/generate-test-interviews.md |
Yes: references/interview-design-reference.md |
| Analyze interview corpus: coding, verdicts, report | workflows/analyze-interviews.md |
Yes: loaded per step in the workflow |
If intent is ambiguous, ask the user which workflow they need.
Reference Loading Map
| Need | Reference |
|---|---|
| Script architecture, question crafting rules, anti-patterns | references/interview-design-reference.md |
| Codebook construction, coding pass protocol, revision rules | references/codebook-construction-reference.md |
| Negative case, comparison, segmentation, verdicts | references/analysis-protocols-reference.md |
| Output templates for codebook, verdict table, report, matrix | references/analysis-output-templates.md |
Agent Loading Map
| Agent | File | Purpose |
|---|---|---|
| Interview Writer | agents/interview-writer.md |
Generate one fictional interview result from a skeleton template and persona spec. |
| Interview Coder | agents/interview-coder.md |
Code a batch of interviews against a codebook, producing JSON coding records. |
| Coding Aggregator | agents/coding-aggregator.md |
Merge per-batch coding outputs, resolve conflicts, and produce consolidated JSON. |
| Analysis Report Writer | agents/analysis-report-writer.md |
Assemble the final analysis report from analytical outputs. |
What ships with it
17 files 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.
- agents/analysis-report-writer.md 4.6 KB
- agents/coding-aggregator.md 3.7 KB
- agents/interview-coder.md 4.1 KB
- agents/interview-writer.md 4.4 KB
- biz-interview-readme.md 5.0 KB
- PORTABILITY.md 1.2 KB
- references/analysis-output-templates.md 1.7 KB
- references/analysis-protocols-reference.md 7.7 KB
- references/codebook-construction-reference.md 5.1 KB
- references/interview-design-reference.md 6.1 KB
- requirements.txt 8 B
- scripts/build_coding_matrix.py 8.0 KB runs code
- scripts/build_cooccurrence.py 5.9 KB runs code
- workflows/analyze-interviews.md 9.1 KB
- workflows/create-exploratory-interview.md 5.1 KB
- workflows/generate-test-interviews.md 5.3 KB
- workflows/reformat-interview-results.md 3.7 KB
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.
- 12d ago First seen · 66 lines · 74 tokens per session scan A 0be2b3c1e095
biz-interview is a skill published in the GitHub repository nanparth/ai-skill-hub (23 stars, last pushed 20d ago), licensed MIT. It adds 74 tokens to every session and 805 once invoked, about $0.0004 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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