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CF nemoclaw-skills-guide

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NVIDIA/NemoClaw Agent Skills author: NVIDIA Apache-2.0 2 files body ≈ 1 495 tokens Open the sourcegithub.com↗ analyzed 5 d ago

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As a process F 24/100 · No process to follow — References files that are not bundled: ../nemoclaw-maintainer-e2e/SKILL.md, ../nemoclaw-maintainer-audit-e2e-assertions/SKILL.md

ReferenceGitHubSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
C
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
F
24/100
No process to follow
References files that are not bundled: ../nemoclaw-maintainer-e2e/SKILL.md, ../nemoclaw-maintainer-audit-e2e-assertions/SKILL.md
Tools and files w 18
0
Steps w 15
0
Result and completion w 14
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
  • 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: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../nemoclaw-maintainer-e2e/SKILL.md
  • warning missing-ref reference to a missing file: ../nemoclaw-maintainer-audit-e2e-assertions/SKILL.md

Process rating: all ten parameters 24/100

Will not run. References files that are not bundled: ../nemoclaw-maintainer-e2e/SKILL.md, ../nemoclaw-maintainer-audit-e2e-assertions/SKILL.md
  • 0Tools and files. 2 referenced file(s) missing: ../nemoclaw-maintainer-e2e/SKILL.md, ../nemoclaw-maintainer-audit-e2e-assertions/SKILL.md
  • 0Steps. Prose only: no discrete steps
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 9 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1495 tokens
  • medium 6 test cases, all positive: not one "should refuse" or "should ask first"
  • low No test case covers injection arriving through data

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)
  • +3Description length 111: 120–800 characters recommended
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +2Single-language instructions
  • +4Structure: 5 headings
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.