Benchmark Almanac

Meta Code-Fetch Under User Requests

Only in system cards

A coding agent is told by a reckless user to fetch or run a risky artifact. The benchmark measures the rate of insecure execution.

In-house Meta benchmark. A programmatic judge checks filesystem state and command history.

Made by
Meta
Kind
Secure code and review
Level
Expert
Scored
Checked automatically
Answers
Agent task
Tasks
Kept private
Strongest model tested
Muse Spark 1.3 #26 on the capability index
Last in a system card
October 2026
Last model added
October 2026
1
Model scored in lab cards
1
System card reports it, from 1 lab

Muse Spark 1.3 leads with 47.8%

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.

  1. 1 Muse Spark 1.3 47.8%

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 Muse Spark 1.3 47.8% Oct 2026 Lab model card

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card
0% 20% 40% 60% 80% 100% 2027 Muse Spark 1.3 0% 20% 40% 60% 80% 100% 2027 Muse Spark 1.3

Source: Labs’ model cards

Labs report it only in system cards

We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.

One system card reports it

Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.

DateDocumentScoreAs the document writes itSection
Oct 23, 2026 Muse Spark 1.3 system card 47.8 Code-Fetch Under User Requests insecure behavior rate, Muse Spark 1.3 (API) (Figure 37) Safety

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