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 exec-metrics-storytellergit 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/exec-metrics-storyteller)<a href="https://agentmods.dev/skills/kirkruglov/claude-skills-kit/exec-metrics-storyteller"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/exec-metrics-storyteller/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/exec-metrics-storyteller"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/exec-metrics-storyteller.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 | $0.00100 | $0.01782 |
| Opus 5 | $0.00050 | $0.00891 |
| Sonnet 5 | $0.00020 | $0.00356 |
| Haiku 4.5 | $0.00010 | $0.00178 |
Grade A, and why
exec-metrics-storyteller 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 11d 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Exec Metrics Storyteller
This skill transforms a metrics snapshot and business context into a formal executive narrative report for C-suite, board, or investor audiences. It converts raw numbers into a structured document with business interpretation, revenue linkage, and strategic outlook — ready to paste into a board deck or executive email.
Input:
- Metrics snapshot: paste/table/key-value list (e.g.,
MAU: 120k (+12% MoM), ARR: $2.4M, Churn: 2.1%) - Business context: reporting period (monthly/quarterly), audience (board / C-suite / investors), product stage (optional), targets/benchmarks (optional)
Output:
- Markdown executive narrative with 5 sections: Headline KPIs, Executive Summary, Revenue & Unit Economics, Trend Analysis, Next Period Outlook
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: Parse Input
-
Read the user's metrics snapshot
- Accept paste/table, key-value list, or free-form metric list
- Accept period and audience type from context or stated explicitly
-
If no numeric data provided (text only, no numbers):
- Stop and prompt: "Metrics snapshot required. Paste your KPI table or key-value list (e.g.,
MAU: 120k (+12% MoM), ARR: $2.4M, Churn: 2.1%). Then rerun." - Do not produce partial output
- Stop and prompt: "Metrics snapshot required. Paste your KPI table or key-value list (e.g.,
-
If 50+ metrics provided:
- Warn: "This snapshot is too large for an executive report. Share your top 10–15 KPIs for the reporting period and rerun."
- Do not proceed
-
If period or audience type not specified:
- Assume: monthly period, board audience
- State these assumptions explicitly at the top of the output under
> Assumptions:
Step 2: Classify Metrics
- Categorize each metric by type:
- Growth: DAU, WAU, MAU, signups, new users, activation rate
- Retention: Churn rate, retention rate, cohort D7/D30, NPS
- Revenue: ARR, MRR, ARPU, GMV, revenue growth rate
- Unit Economics: LTV, CAC, LTV:CAC ratio, payback period
- Engagement: Session length, DAU/MAU ratio, feature adoption
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.
- 11d ago First seen · 168 lines · 100 tokens per session scan A 625698ae2b88
exec-metrics-storyteller is a skill published in the GitHub repository KirKruglov/claude-skills-kit (18 stars, last pushed 1mo ago), licensed MIT. It adds 100 tokens to every session and 1,782 once invoked, about $0.0005 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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