Datasets:

MisterRiseAbove
/

mcpskills-trust-scores

Error code:   FeaturesError
Exception:    ParserError
Message:      Error tokenizing data. C error: Expected 1 fields in line 5, saw 14

Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4645, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2866, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3073, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2581, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/csv/csv.py", line 198, in _generate_tables
                  for batch_idx, df in enumerate(csv_file_reader):
                                       ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__
                  return self.get_chunk()
                         ~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk
                  return self.read(nrows=size)
                         ~~~~~~~~~^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/readers.py", line 1923, in read
                  ) = self._engine.read(  # type: ignore[attr-defined]
                      ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      nrows
                      ^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read
                  chunks = self._reader.read_low_memory(nrows)
                File "pandas/_libs/parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory
                File "pandas/_libs/parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows
                File "pandas/_libs/parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
                File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
                File "pandas/_libs/parsers.pyx", line 2061, in pandas._libs.parsers.raise_parser_error
              pandas.errors.ParserError: Error tokenizing data. C error: Expected 1 fields in line 5, saw 14

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MCP Skills Trust Scores

Public trust-score dataset for AI skills, MCP servers, and npm packages. Each row is one scored repo or package: a composite trust score (0-10), tier, and supporting metadata across 4 dimensions (Alive, Legit, Solid, Usable).

Source / methodology: https://mcpskills.io/methodology
Canonical live export: https://mcpskills.io/data/latest.json (and https://mcpskills.io/data/latest.csv)
License: CC BY 4.0 — attribution required.
Last refreshed: 2026-11-09
Rows: 3150

This mirror is refreshed weekly from the canonical live export by an automated job. Treat https://mcpskills.io/data/latest.json as the source of truth; this dataset is a convenience mirror for analysis and citation.

Files

File	Description
`mcpskills-trust-scores.csv`	Full dataset, RFC 4180 CSV (license header comment lines start with `#`).
`mcpskills-trust-scores.json`	Same data as a JSON envelope: `dataset` metadata, `summary` (tier counts, average), and `rows`.

Columns

key, type, repo, package, composite, tier, mode, limited, stars, forks, license, description, scannedAt, discoveredVia

composite is the 0-10 trust score; tier is one of verified, established, new, blocked. type is github or npm.

Usage

DuckDB (skips the leading # comment lines automatically):

SELECT key, composite, tier
FROM read_csv_auto('mcpskills-trust-scores.csv', comment='#')
WHERE tier = 'verified'
ORDER BY composite DESC
LIMIT 20;

pandas:

import pandas as pd
df = pd.read_csv("mcpskills-trust-scores.csv", comment="#")
df[df.tier == "verified"].sort_values("composite", ascending=False).head(20)

Hugging Face datasets:

from datasets import load_dataset
ds = load_dataset("MisterRiseAbove/mcpskills-trust-scores")

Citation

MCP Skills. (2026). MCP Skills Trust Scores [Data set]. https://mcpskills.io/data/latest.json

Data courtesy of MCP Skills (https://mcpskills.io). CC BY 4.0.

Downloads last month: 131

Total file size:

2.57 MB