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CD nemoclaw-maintainer-day

Run a NemoClaw daytime maintainer pass over release-targeted work. Use for the maintainer queue or a requested recurring pass.

NVIDIA/NemoClaw Agent Skills author: NVIDIA Apache-2.0 20 files · 9 scripts body ≈ 982 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Run a NemoClaw daytime maintainer pass over release-targeted work.

As a process D 42/100 · Unfinished process — References files that are not bundled: ../_shared/pr-follow-up.md

ProcedureData and analyticstype 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
89/100
safety, quality, tests
Safety 60%
99
Quality 40%
74
Run on models
none yet
Process rating
D
42/100
Unfinished process
References files that are not bundled: ../_shared/pr-follow-up.md
Tools and files w 18
0
Result and completion w 14
0
Failures and branches w 10
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Secrets in code secret-high-entropy-token scripts/triage.ts:332
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    ... on Proj…lue {
    quoted

Files scanned: 19. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../_shared/pr-follow-up.md
  • note frontmatter-key unknown frontmatter key "user_invocable"

Process rating: all ten parameters 42/100

Will not run. References files that are not bundled: ../_shared/pr-follow-up.md
  • 0Tools and files. 1 referenced file(s) missing: ../_shared/pr-follow-up.md
  • 0Result and completion. Does not say what the result is
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 12 mutating operations with no state check
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 20 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 982 tokens
  • 100Progress reporting. Reports progress
  • medium 4 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)
  • +3Output format is not stated: the model decides each time
  • -36 of 9 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 126: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 20 items
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.