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FF omniverse-usd-performance-tuning

Top-level workflow skill for USD performance diagnosis and optimization. Handles slow loading, high memory, low FPS, and broad scene-optimization requests; delegates auth/runtime setup to Phase 0 owners.

Blockedguard blocked the skill: signs of malicious behaviour
ClawHub Agent Skills author: NVIDIA 1 file body ≈ 3 437 tokens Open the sourceclawhub.ai↗ analyzed 30 h ago

Top-level workflow skill for USD performance diagnosis and optimization.

As a process F 34/100 · Will not run — References files that are not bundled: references/workflow.md, references/runtime-artifact-token-budget.md, references/cad-conversion/README.md

ProcedureSoftware developmentData and analyticsAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
F
30/100
safety, quality, tests
Safety 60%
10
Quality 40%
60
Run on models
none yet
Process rating
F
34/100
Will not run
References files that are not bundled: references/workflow.md, references/runtime-artifact-token-budget.md, references/cad-conversion/README.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
Guard blocked this skill: critical findings below. Do not install it until the author fixes them.

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Dangerous commands
If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. Remove the critical guard findings (secrets, dangerous commands, hidden instructions): while they stand the skill is blocked and cannot grade above F.
  2. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  3. 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 · 1

  • critical Dangerous commands cmd-destructive-fs SKILL.md:39
    Destructive filesystem command (wipes root/home/drive)
    - Runtime already confirmed in this session: use compact Format B:

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: references/workflow.md
  • warning missing-ref reference to a missing file: references/runtime-artifact-token-budget.md
  • warning missing-ref reference to a missing file: references/cad-conversion/README.md
  • warning missing-ref reference to a missing file: references/workflow.md
  • warning missing-ref reference to a missing file: references/operations/operations.json
  • warning missing-ref reference to a missing file: scripts/optimization-report.schema.json
  • warning missing-ref reference to a missing file: references/report-templates/optimization-report.html.template
  • warning missing-ref reference to a missing file: references/briefing-the-skill.md
  • warning missing-ref reference to a missing file: references/skill-map.md
  • warning missing-ref reference to a missing file: references/upstreams/usd-optimize.md
  • note frontmatter-key unknown frontmatter key "tools"

Process rating: all ten parameters 34/100

Will not run. References files that are not bundled: references/workflow.md, references/runtime-artifact-token-budget.md, references/cad-conversion/README.md
  • 0Tools and files. 10 referenced file(s) missing: references/workflow.md, references/runtime-artifact-token-budget.md, references/cad-conversion/README.md
  • 0Result and completion. Does not say what the result is
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 8 mutating operations with no state check
  • 85Steps. 63 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3437 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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
  • +2Single-language instructions
  • +3Description length 203: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 63 items
  • +4Has examples (1 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.