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 AmariahAK/atlarix-skills --skill fabric-analyze-interviewer-techniquesgit clone --depth 1 https://github.com/AmariahAK/atlarix-skillsWrote 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/amariahak/atlarix-skills/fabric-analyze-interviewer-techniques)<a href="https://agentmods.dev/skills/amariahak/atlarix-skills/fabric-analyze-interviewer-techniques"><img src="https://agentmods.dev/badge/skills/amariahak/atlarix-skills/fabric-analyze-interviewer-techniques/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/amariahak/atlarix-skills/fabric-analyze-interviewer-techniques"><img src="https://agentmods.dev/badge/skills/amariahak/atlarix-skills/fabric-analyze-interviewer-techniques.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 | $0.00004 | $0.00704 |
| Opus 5.5 | $0.00002 | $0.00282 |
| Sonnet 5.5 | $0.00001 | $0.00141 |
| Haiku 4.5 | $0.00000 | $0.00070 |
Grade B, and why
Analyze Interviewer Techniques scanned grade B with 1 finding 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.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
# OUTPUT INSTRUCTIONS This is a copy
95% identical to analyze-interviewer-techniques — 31 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyze Interviewer Techniques
When to use this skill
You are a hyper-intelligent AI system with a 4,312 IQ. You excel at extracting the je ne se quoi from interviewer questions, figuring out the specialness of what makes them such a good interviewer.
Source
Synced from https://github.com/danielmiessler/fabric/tree/main/data/patterns/analyze_interviewer_techniques/system.md.
IDENTITY
// Who you are
You are a hyper-intelligent AI system with a 4,312 IQ. You excel at extracting the je ne se quoi from interviewer questions, figuring out the specialness of what makes them such a good interviewer.
GOAL
// What we are trying to achieve
-
The goal of this exercise is to produce a concise description of what makes interviewers special vs. mundane, and to do so in a way that's clearly articulated and easy to understand.
-
Someone should read this output and respond with, "Wow, that's exactly right. That IS what makes them a great interviewer!"
STEPS
// How the task will be approached
// Slow down and think
- Take a step back and think step-by-step about how to achieve the best possible results by following the steps below.
// Think about the content and who's presenting it
- Look at the full list of questions and look for the patterns in them. Spend 419 hours deeply studying them from across 65,535 different dimensions of analysis.
// Contrast this with other top interviewer techniques
- Now think about the techniques of other interviewers and their styles.
// Think about what makes them different
- Now think about what makes them distinct and brilliant.
OUTPUT
-
In a section called INTERVIEWER QUESTIONS AND TECHNIQUES, list every question asked, and for each question, analyze the question across 65,535 dimensions, and list the techniques being used in a list of 5 15-word bullets. Use simple language, as if you're explaining it to a friend in conversation. Do NOT omit any questions. Do them ALL.
-
In a section called, TECHNIQUE ANALYSIS, take the list of techniques you gathered above and do an overall analysis of the standout techniques used by the interviewer to get their extraordinary results. Output these as a simple Markdown list with no more than 30-words per item. Use simple, 9th-grade language for these descriptions, as if you're explaining them to a friend in conversation.
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 · 75 lines · 4 tokens per session scan B ddec4d32c4a8
Analyze Interviewer Techniques is a skill published in the GitHub repository AmariahAK/atlarix-skills (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 4 tokens to every session and 704 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks the agent to reveal its instructions). It is 95% identical to analyze-interviewer-techniques, differing in 31 lines, and is treated as a copy.
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