SKILLEMALL.ai

CC gator-gate

Validate and monitor OpenShell GitHub issues and PRs using the gator:* state machine. Use when asked to triage issues/PRs for project validity, gate PRs, run gator, validate submissions, or monitor PRs toward merge readiness.

NVIDIA/openshell Agent Skills author: NVIDIA Apache-2.0 2 files body ≈ 19 643 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Validate and monitor OpenShell GitHub issues and PRs using the gator: state machine.

As a process C 57/100 · Has gaps — References files that are not bundled: scripts/agents/gator/skills/gator-gate/SKILL.md, scripts/agents/gator

AnalyzerGitHubInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
C
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
C
57/100
Has gaps
References files that are not bundled: scripts/agents/gator/skills/gator-gate/SKILL.md, scripts/agents/gator
Tools and files w 18
0
Execution cost w 6
10
Result and completion w 14
40
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. 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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 19643 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: scripts/agents/gator/skills/gator-gate/SKILL.md
  • warning missing-ref reference to a missing file: scripts/agents/gator
  • note edit-residue the text marks something as outdated (lines 159, 557, 558, 759, 834): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 57/100

Will not run. References files that are not bundled: scripts/agents/gator/skills/gator-gate/SKILL.md, scripts/agents/gator
  • 0Tools and files. 2 referenced file(s) missing: scripts/agents/gator/skills/gator-gate/SKILL.md, scripts/agents/gator
  • 10Execution cost. Instruction body is 19643 tokens: crowds the task out of the window
  • 40Result and completion. Does not say what the result is
  • 50When it triggers. No condition that starts the skill
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 240 steps, 2 vague phrases
  • 100Failures and branches. 9 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 24 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (17 tags): a typed call is more reliable

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 225: enough signal without eating the budget
  • +4Structure: 51 headings
  • +3Step-by-step instructions: 240 items
  • +4Has examples (31 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.