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 jamditis/claude-skills-journalism --skill interview-prepgit clone --depth 1 https://github.com/jamditis/claude-skills-journalismWrote 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/jamditis/claude-skills-journalism/interview-prep)<a href="https://agentmods.dev/skills/jamditis/claude-skills-journalism/interview-prep"><img src="https://agentmods.dev/badge/skills/jamditis/claude-skills-journalism/interview-prep/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/jamditis/claude-skills-journalism/interview-prep"><img src="https://agentmods.dev/badge/skills/jamditis/claude-skills-journalism/interview-prep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00028 | $0.02520 |
| Opus 5.5 | $0.00011 | $0.01008 |
| Sonnet 5.5 | $0.00006 | $0.00504 |
| Haiku 4.5 | $0.00003 | $0.00252 |
Grade A, and why
interview-prep 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 1mo 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 — 332 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Interview preparation
Interviews fail in the preparation, not the conversation. This skill covers pre-interview research, question design, logistics, and follow-up.
When to use
- Preparing to interview a source
- Developing question frameworks for recurring interview types
- Managing interview logistics and consent
- Planning follow-up after initial interviews
- Training new reporters on interview technique
Pre-interview research checklist
Background research
## Source background check
### Public records
- [ ] Professional licenses verified
- [ ] Court records checked (civil/criminal)
- [ ] Business registrations confirmed
- [ ] Property records (if relevant)
- [ ] Campaign finance (if political figure)
- [ ] SEC filings (if corporate)
### Professional background
- [ ] LinkedIn profile reviewed
- [ ] Current employer confirmed
- [ ] Previous employers noted
- [ ] Published work reviewed
- [ ] Conference appearances checked
- [ ] Professional associations
### Social media audit
- [ ] All platforms identified (X, Bluesky, Threads, Mastodon, Instagram, Facebook, LinkedIn, TikTok, YouTube, Substack, etc.)
- [ ] Post history reviewed
- [ ] Connections/followers analyzed
- [ ] Previous statements on topic found
- [ ] Any deleted content recovered? (See **web-archiving** skill for Wayback / Archive.today retrieval)
### Media appearances
- [ ] Previous interviews found
- [ ] Statements consistent with current position?
- [ ] Other journalists' assessments
- [ ] Any retractions or corrections involving them?
Context research
## Topic preparation
### Essential knowledge
- [ ] Key facts about the topic confirmed
- [ ] Timeline of events established
- [ ] Other stakeholders identified
- [ ] Conflicting accounts noted
- [ ] Documents/data reviewed
### What to know before you dial
- [ ] How do they fit into the story?
- [ ] What do I NEED from this interview?
- [ ] What might they be reluctant to discuss?
- [ ] What have they said publicly before?
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.
- 1mo ago First seen · 332 lines · 28 tokens per session scan A d49b0545977e
interview-prep is a skill published in the GitHub repository jamditis/claude-skills-journalism (434 stars, last pushed 2d ago), licensed MIT. It adds 28 tokens to every session and 2,520 once invoked, about $0.0001 per session on Opus 5.5. 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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