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 survey-results-analyzergit 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/survey-results-analyzer)<a href="https://agentmods.dev/skills/kirkruglov/claude-skills-kit/survey-results-analyzer"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/survey-results-analyzer/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/survey-results-analyzer"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/survey-results-analyzer.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 | $0.00089 | $0.02161 |
| Opus 5 | $0.00044 | $0.01081 |
| Sonnet 5 | $0.00018 | $0.00432 |
| Haiku 4.5 | $0.00009 | $0.00216 |
Grade A, and why
survey-results-analyzer 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 — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Survey Results Analyzer
This skill analyzes survey result files (CSV) and produces a structured markdown report with frequency distributions, open-ended response themes, and a synthesized Top-3 insights summary. It works in two modes simultaneously — quantitative (close-ended questions) and qualitative (open-ended responses) — without requiring any Python or data analysis background.
Input:
- CSV file with survey data (one row per respondent, first row = headers), provided as an attachment or via workspace folder path
Output:
survey-analysis-{filename}.md— structured markdown report saved to the workspace folder
Language Detection
Detect the user's language from their message:
- If Russian (or contains Cyrillic): respond in Russian — including all section headers, labels, key findings, and insight text in the generated report
- 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 and Load the CSV File
-
Check that the user provided a CSV file (attachment or file path in workspace folder)
- If no file provided: stop and return: "Please attach a CSV file with survey results or provide the file path in your workspace folder."
-
Read the file and validate structure:
- Confirm first row is headers (column names / question text)
- Confirm at least 2 columns exist
- Confirm at least 1 data row exists
- If file is not parseable as CSV (merged cells, missing headers, non-comma delimiter): return "File could not be parsed as a survey CSV. Check that it has a single header row and comma-separated values."
- If only 1 column detected: return "Only one column detected — need at least two columns (questions) to produce a meaningful analysis."
-
Count respondents (N = number of data rows)
- If N < 5: proceed but flag with a warning (see Edge Cases)
Step 2: Classify Column Types
For each column in the CSV:
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 · 220 lines · 89 tokens per session scan A 9b7c1349d610
survey-results-analyzer is a skill published in the GitHub repository KirKruglov/claude-skills-kit (18 stars, last pushed 1mo ago), licensed MIT. It adds 89 tokens to every session and 2,161 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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