SKILLEMALL.ai

BD model-factory

Launch and monitor prime-rl runs on Model Factory with prime train, and retrieve their traces. Use for requests such as "run this on model factory", including custom code revisions, private datasets, credentials, and team setup. Explicit local or SLURM jobs use start-run.

The skillemall take

This skill launches and monitors prime-rl on Model Factory, uploads custom code, datasets, and credentials. Promises to handle requests like 'run this on the factory'.

The files contain 2351 tokens of text, but a 41% process score signals incomplete or vague instructions. Safety scores 100, quality 76, no critical findings. However, there are broken references—some internal links or file paths lead nowhere. Not a blocker, but it muddies clarity. No sandbox or live model runs on record. Support spans Claude to DeepSeek, but without actual execution data, it's hard to gauge how well it really handles credential passing and monitoring. Install if you're already in the Model Factory ecosystem and don't mind patching gaps in the docs yourself.

PrimeIntellect-ai/prime-rl Agent Skills author: PrimeIntellect-ai 4 files body ≈ 2 351 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Launch and monitor prime-rl runs on Model Factory with prime train, and retrieve their traces.

As a process D 41/100 · Unfinished process — References files that are not bundled: ../training/start-run/SKILL.md, ../../examples/basic/reverse-text/rl.toml, ../../examples/basic/reverse-text/sft.toml

IntegrationSoftware developmentData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
D
41/100
Unfinished process
References files that are not bundled: ../training/start-run/SKILL.md, ../../examples/basic/reverse-text/rl.toml, ../../examples/basic/reverse-text/sft.toml
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../training/start-run/SKILL.md
  • warning missing-ref reference to a missing file: ../../examples/basic/reverse-text/rl.toml
  • warning missing-ref reference to a missing file: ../../examples/basic/reverse-text/sft.toml
  • warning missing-ref reference to a missing file: ../../examples/advanced
  • warning missing-ref reference to a missing file: ../configs/SKILL.md

Process rating: all ten parameters 41/100

Will not run. References files that are not bundled: ../training/start-run/SKILL.md, ../../examples/basic/reverse-text/rl.toml, ../../examples/basic/reverse-text/sft.toml
  • 0Tools and files. 5 referenced file(s) missing: ../training/start-run/SKILL.md, ../../examples/basic/reverse-text/rl.toml, ../../examples/basic/reverse-text/sft.toml
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 4 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 6 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2351 tokens

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 272: enough signal without eating the budget
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 6 items
  • +4Has examples (8 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.