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 weekly-metrics-story-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/weekly-metrics-story-writer)<a href="https://agentmods.dev/skills/kirkruglov/claude-skills-kit/weekly-metrics-story-writer"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/weekly-metrics-story-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/weekly-metrics-story-writer"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/weekly-metrics-story-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 | $0.00095 | $0.01508 |
| Opus 5 | $0.00048 | $0.00754 |
| Sonnet 5 | $0.00019 | $0.00302 |
| Haiku 4.5 | $0.00010 | $0.00151 |
Grade A, and why
weekly-metrics-story-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 — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Weekly Metrics Story Writer
Transform raw dashboard numbers into a polished weekly narrative for stakeholders. Paste your metrics (as text or from a file) plus a line of context, and receive a copy-paste-ready email or Slack post — no writing from scratch, no blank page.
Input:
- Metrics data: pasted text, table, CSV lines, or a
.mdfile path in Cowork - Optional context: what happened this week, audience, preferred format
Output:
- Formatted weekly narrative in email and/or Slack format, ready to send
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
Apply the detected language to all user-facing output: questions, labels, section headers, and the final narrative. Do not mix languages within a single output block.
Instructions
Step 1: Collect Input
- If the user has already pasted metrics data in their trigger message — proceed directly to Step 2.
- If no data is provided, prompt once:
"Paste your weekly metrics here — any format works (table, list, CSV, or plain numbers). I'll handle the rest."
- If still no data after one re-prompt: stop and return:
"No metrics provided. Please paste your numbers to get started."
Step 2: Gather Context (if missing)
After receiving metrics, check what context is available. Ask only the questions whose answers are missing:
- Audience: "Who's this for — leadership, team, or both?" (if not clear from the data or prior message)
- Format: "Email, Slack, or both?" (if not specified)
- Events: "Anything notable this week that affected these numbers? (launch, incident, A/B test — or skip if nothing)" (always ask this once; skip if user already provided context)
Combine all missing questions into one message. Do not ask sequentially.
If the user skips context entirely: use both for format, mixed for audience, and omit the Events section.
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 · 172 lines · 95 tokens per session scan A 49cb96328c00
weekly-metrics-story-writer is a skill published in the GitHub repository KirKruglov/claude-skills-kit (18 stars, last pushed 1mo ago), licensed MIT. It adds 95 tokens to every session and 1,508 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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