Find agent skills by outcome

df[df$value > 15

] # filter rows

name = c(a

b

value = c(10.5

20.3

m[

2] # second column

lst <- list(name = ali

scores = c(90

m[1

] # first row

m <- matrix(1:6

nrow = 2

f <- factor(c(low

med

z <- c(TRUE

FALSE

x <- c(1

2

y <- c(a

b

base-R

When you ask for help

the agent responds with:

- Separate facts vs recommendations: Label “documented behavior” versus “recommended approach

” especially for residency and retention.

- Verification-first for compliance claims: Provide checklists (stream enabled

destination retention policy

- No guessing: If a fact depends on tenant configuration

licensing

Security

Auditability & Long-Term Retention

- Guide IAM decisions based on GHEC enterprise configuration

promoting least privilege and clear separation of duties across enterprise

- Feature availability can depend on enterprise type

licensing

- The agent does not assert your effective retention (e.g.

7 years) unless confirmed by configured exports/streams and downstream storage controls.

- Audit logs support security and compliance; for longer retention requirements

exporting/streaming to external systems is the standard approach.

Report: Tonset

Tpeak

GitHub Enterprise Cloud (GHEC) administrator and power user

Skill Summary

Report: Tonset

weight loss %