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 KirKruglov/claude-skills-kit --skill interview-debrief-synthesizergit clone --depth 1 https://github.com/KirKruglov/claude-skills-kitWrote 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/kirkruglov/claude-skills-kit/interview-debrief-synthesizer)<a href="https://agentmods.dev/skills/kirkruglov/claude-skills-kit/interview-debrief-synthesizer"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/interview-debrief-synthesizer/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/kirkruglov/claude-skills-kit/interview-debrief-synthesizer"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/interview-debrief-synthesizer.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 | $0.00072 | $0.02306 |
| Opus 5 | $0.00036 | $0.01153 |
| Sonnet 5 | $0.00014 | $0.00461 |
| Haiku 4.5 | $0.00007 | $0.00231 |
Grade A, and why
interview-debrief-synthesizer 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Interview Debrief Synthesizer
This skill consolidates raw, inconsistently formatted notes from several interviewers into one comparable debrief. It separates what the candidate actually said or did (evidence) from evaluative claims with nothing behind them (impression), attributes every item to the interviewer who observed it, surfaces where interviewers contradict each other, and names the competencies nobody probed.
Input:
- Pasted interview notes from one or more interviewers — any mix of prose, bullets, ratings, fragments; RU, EN, or mixed
- Optional: a scorecard or role requirements; candidate names if several candidates are in play
Output:
- A single markdown debrief: evidence by competency, comparison matrix, disagreements, unprobed competencies, decision draft
Language Detection
Detect the user's language from their message:
- If Russian (or contains Cyrillic): respond in Russian
- If English (or other Latin-script language): respond in English
- If ambiguous: respond in the language of the trigger phrase used
Instructions
Step 1: Validate Input
-
Check that interview notes were actually provided.
- If the message is empty or contains no notes: stop. Ask for the interview notes and, optionally, the scorecard. Produce no partial debrief.
- If the input is a CV/resume or a job description rather than interview notes: stop. State the mismatch — this skill synthesizes what interviewers observed and cannot substitute a debrief from a resume. Name the correct input.
-
Determine the scope:
- One candidate (default) — the matrix will be interviewers × competencies
- Several candidates — the matrix will be candidates × competencies
Edge Cases:
- If notes cover several candidates interleaved: group by candidate first. Any block that cannot be attributed to a candidate with confidence goes under
unattributed— never assign it by guessing.
Step 2: Segment by Interviewer
- Split the pasted text into per-interviewer blocks. Use names, headers, initials, or formatting shifts as boundaries.
- Attribute every block to a named source.
- Where a block has no author, label it
source not stated. Never guess an author — attribution is what makes the debrief usable, and a wrong attribution is worse than none. - Record the interviewer count; it drives Step 5.
What ships with it
6 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.
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 · 181 lines · 72 tokens per session scan A 979bcb107f9a
interview-debrief-synthesizer is a skill published in the GitHub repository KirKruglov/claude-skills-kit (18 stars, last pushed 1mo ago), licensed MIT. It adds 72 tokens to every session and 2,306 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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