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 kpi-digest-buildergit 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/kpi-digest-builder)<a href="https://agentmods.dev/skills/kirkruglov/claude-skills-kit/kpi-digest-builder"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/kpi-digest-builder/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/kpi-digest-builder"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/kpi-digest-builder.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 | $0.00074 | $0.01724 |
| Opus 5 | $0.00037 | $0.00862 |
| Sonnet 5 | $0.00015 | $0.00345 |
| Haiku 4.5 | $0.00007 | $0.00172 |
Grade A, and why
kpi-digest-builder 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
KPI Digest Builder
This skill aggregates numeric KPI values from local workspace files (.md, .txt, .csv) into a weekly snapshot table with delta vs. the previous week and a plain-language summary. No code, no API, no integrations required.
Input:
- One or more local files containing KPI data:
.md,.txt, or.csvin the Cowork workspace - Optional: specification of which file is "current week" and which is "previous week"
Output:
- Markdown digest with KPI snapshot table (Previous | Current | Δ | Δ% | Trend), plain-language summary, and Notes
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: Locate Files
-
Identify the source file(s) from the user's message
- If a filename or path is provided: use it directly
- If no file specified: scan the Cowork workspace folder for files with KPI-related names (e.g., metrics, kpi, stats, report) or common formats (.md, .txt, .csv)
- If no files found: stop and report — "No files found. Please upload your KPI files or confirm they're in your selected Cowork folder, then try again."
-
Determine which data is "current" and which is "previous"
- If user specifies two files: treat the designated current file as this week, previous file as last week
- If a single file has multiple date sections or a "last week" column: split accordingly
- If dates are present but ambiguous: use the most recent date as current, earlier date as previous; note the assumption in Notes
Step 2: Extract KPI Values
- Read each file and extract all named numeric values
- For
.md/.txt: look for patterns likeKPI Name: 1,234,KPI Name — 45%,| KPI | Value |tables, or bullet-point metric lists - For
.csv: treat the first column as KPI name; numeric columns as values; use column headers (if present) to distinguish current vs. previous week - Preserve the original KPI names exactly as found (for matching across files)
- For
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 · 131 lines · 74 tokens per session scan A 3c2398f27469
kpi-digest-builder is a skill published in the GitHub repository KirKruglov/claude-skills-kit (18 stars, last pushed 1mo ago), licensed MIT. It adds 74 tokens to every session and 1,724 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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