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CD nemoclaw-maintainer-fix-e2e-failures

Continuously maintain automatic NemoClaw main E2E results through coordinated repairs. Use for ongoing maintenance, not one-time dispatch or diagnosis.

NVIDIA/NemoClaw Agent Skills author: NVIDIA Apache-2.0 7 files · 1 script body ≈ 2 573 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Continuously maintain automatic NemoClaw main E2E results through coordinated repairs.

As a process D 49/100 · Unfinished process — References files that are not bundled: ../_shared/git-github-hard-stop.md, ../../references/e2e-authoring.md, ../_shared/pr-follow-up.md

AnalyzerGitHubSoftware developmentInfrastructureData 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
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
D
49/100
Unfinished process
References files that are not bundled: ../_shared/git-github-hard-stop.md, ../../references/e2e-authoring.md, ../_shared/pr-follow-up.md
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
  • 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: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../_shared/git-github-hard-stop.md
  • warning missing-ref reference to a missing file: ../../references/e2e-authoring.md
  • warning missing-ref reference to a missing file: ../_shared/pr-follow-up.md
  • warning missing-ref reference to a missing file: ../nemoclaw-maintainer-e2e/SKILL.md
  • note edit-residue the text marks something as outdated (lines 25, 50, 92, 97, 99): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 49/100

Will not run. References files that are not bundled: ../_shared/git-github-hard-stop.md, ../../references/e2e-authoring.md, ../_shared/pr-follow-up.md
  • 0Tools and files. 4 referenced file(s) missing: ../_shared/git-github-hard-stop.md, ../../references/e2e-authoring.md, ../_shared/pr-follow-up.md
  • 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
  • 50When it triggers. No condition that starts the skill
  • 100Steps. 46 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2573 tokens
  • 100Running it twice. Mutating operations check current state
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 10 top-level sections: this looks like several domains in one skill
  • 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
  • +4No input/output examples
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 151: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 46 items
  • +4Reference files are cited in the instructions (3 of 3)

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