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 win-loss-debrief-writergit 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/win-loss-debrief-writer)<a href="https://agentmods.dev/skills/kirkruglov/claude-skills-kit/win-loss-debrief-writer"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/win-loss-debrief-writer/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/win-loss-debrief-writer"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/win-loss-debrief-writer.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 | $0.00086 | $0.01891 |
| Opus 5 | $0.00043 | $0.00945 |
| Sonnet 5 | $0.00017 | $0.00378 |
| Haiku 4.5 | $0.00009 | $0.00189 |
Grade A, and why
win-loss-debrief-writer 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 — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Win/Loss Debrief Writer
This skill generates a structured win/loss debrief from closed deal notes for sales managers, founders, and account executives. Paste notes from any source (meeting notes, emails, CRM export, call transcript), and receive a full debrief with decision drivers, objections, competitive context, repeat/fix recommendations, and a single trend row ready to copy into a deal log.
Input:
- Pasted deal notes (free-form: meeting notes, emails, CRM export, Slack messages, call transcript excerpt)
- Optional: outcome (WON / LOST), deal size, industry, customer name, competitor name
Output:
- Single structured markdown document — five analysis sections + one trend row
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 whether the user has pasted deal notes.
- If input is empty or whitespace only: respond billingually — "Вставь заметки по сделке (имя клиента, итог, что обсуждали). / Paste your deal notes (client name, outcome, what was discussed)." Then stop.
-
Detect content type.
- If the pasted content looks like a proposal, quote, or forward-looking sales document (not closed-deal retrospective): respond — "Это похоже на коммерческое предложение, а не заметки по закрытой сделке. Для составления КП используй proposal-and-quote-drafter. / This looks like a proposal, not closed deal notes. For creating proposals, use proposal-and-quote-drafter." Then stop.
- If the user is asking to write follow-up emails or active outreach: respond — "Этот скилл создаёт разбор закрытой сделки, а не активные follow-up письма. / This skill analyzes closed deals — not active follow-ups." Then stop.
-
Check for multiple deals in one paste.
- If multiple deals are clearly delineated: process the first one; note — "Multiple deals detected — processed first entry. Paste one deal at a time for full analysis."
What ships with it
4 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 · 176 lines · 86 tokens per session scan A 6ba4d64f4196
win-loss-debrief-writer is a skill published in the GitHub repository KirKruglov/claude-skills-kit (18 stars, last pushed 1mo ago), licensed MIT. It adds 86 tokens to every session and 1,891 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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