Is csv-summarizer safe to install?

SaferSkills independently audited csv-summarizer (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.

CategoryWeightCategory scoreContribution

Securityprompt, exec, net, exfil, eval

35%

100

35.0 pts

Supply chainhash, typosquat, maintainer, lockfile

20%

100

20.0 pts

Maintenancestaleness, pinning, CI

15%

100

15.0 pts

TransparencySKILL.md, perms, README

15%

100

15.0 pts

Communityinstalls, verify, response

15%

100

15.0 pts

Findings & checks · 0 flagged

Securityscore 100 · 0 findings

✓—All security checks passedNo findings in this category for the latest scan.pass

Supply chainscore 100 · 0 findings

✓—All supply chain checks passedNo findings in this category for the latest scan.pass

Maintenancescore 100 · 0 findings

✓—All maintenance checks passedNo findings in this category for the latest scan.pass

Transparencyscore 100 · 0 findings

✓—All transparency checks passedNo findings in this category for the latest scan.pass

Communityscore 100 · 0 findings

✓—All community checks passedNo findings in this category for the latest scan.pass

The primary manifest — the file an agent reads to learn what this artifact does.

examples/csv-summarizer/SKILL.md · 1 file

examples/csv-summarizer/SKILL.md1.5 KB · Markdown

name: csv-summarizer

description: Read a CSV file and produce a concise summary including row count, column names, inferred types per column, and any obvious data-quality issues. Activates when the user asks to summarize, profile, or describe a CSV file or any tabular dataset in the working directory.

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, or mixed.
Distinct value count for low-cardinality columns (< 20 distinct).
A representative sample value.
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.

csv-summarizer— agent skill

Is csv-summarizer safe to install?

CSV Summarizer

1. Identify the file

2. Read and analyze

3. Report format

Audit the pieces. Scan the whole. Decide.