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 suifeng156/skillport --skill csv-summarizergit clone --depth 1 https://github.com/suifeng156/skillportWrote 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/suifeng156/skillport/csv-summarizer)<a href="https://agentmods.dev/skills/suifeng156/skillport/csv-summarizer"><img src="https://agentmods.dev/badge/skills/suifeng156/skillport/csv-summarizer/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/suifeng156/skillport/csv-summarizer"><img src="https://agentmods.dev/badge/skills/suifeng156/skillport/csv-summarizer.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 | $0.00059 | $0.00351 |
| Opus 5.5 | $0.00024 | $0.00140 |
| Sonnet 5.5 | $0.00012 | $0.00070 |
| Haiku 4.5 | $0.00006 | $0.00035 |
Grade A, and why
csv-summarizer 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 1mo 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.
What it actually says
CSV Summarizer
When the user asks you to summarize or profile a CSV file, follow this protocol.
1. Identify the file
If the user names a specific file, use that. Otherwise list .csv files in the working directory and use the most recently modified one. Report the filename you chose.
2. Read and analyze
Read the file (or its first 1000 rows if very large). Compute:
- Row count — total rows excluding the header.
- Column count — from the header row.
- Per-column:
- Inferred type:
integer,decimal,date,boolean,string, ormixed. - Distinct value count for low-cardinality columns (< 20 distinct).
- A representative sample value.
- Inferred type:
- Data quality flags — missing values, type inconsistencies inside a column, suspicious outliers, malformed dates, duplicated rows.
3. Report format
Produce a single response with:
- A one-line header:
csv-summarizer: <filename> (N rows × M columns). - A markdown table of columns:
| name | inferred type | sample | notes |. - A short paragraph titled "Data quality" describing any flags found, or "No issues detected" if none.
Do not modify the file. Read-only.
What ships with it
3 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.
- 1mo ago First seen · 35 lines · 59 tokens per session scan A e2dc01010941
csv-summarizer is a skill published in the GitHub repository suifeng156/skillport (3 stars, last pushed 4mo ago), licensed MIT. It adds 59 tokens to every session and 351 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
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