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SKILL verified MIT Self-run

Blender Scene Quality Checker

skill-thanhnguyxnorg-blendops-blender-scene-quality-checker · by ThanhNguyxnOrg

Apply multi-category readiness gates with pass/warn/fail and evidence-bound verdicts.

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Install

$ agentstack add skill-thanhnguyxnorg-blendops-blender-scene-quality-checker

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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● 3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

blender-scene-quality-checker

Purpose

Evaluate scene/workflow readiness honestly and consistently before any success claim.

Quick start

  • confirm this skill fits your goal
  • provide required inputs first
  • keep runtime claims evidence-bound
  • follow suggested next-skill handoff

When to use

  • before readiness/export/handoff claims
  • after planning pass
  • during text-only/runtime eval reporting

When not to use

  • as a replacement for evidence collection
  • to fabricate confidence in missing artifacts

Trigger phrases

  • "quality-check this scene"
  • "is this ready"
  • "evaluate pass warn fail"

Prerequisites / readiness

  • plan output available
  • criteria set available
  • evidence state known (Produced/Not Produced/Not Run)

Input schema

Required inputs

  • scene plan summary
  • intended output criteria
  • available evidence artifacts

Optional inputs

  • target quality threshold
  • destination-specific constraints

Assumptions to confirm

  • whether runtime was executed
  • whether artifacts are from this run vs pre-existing

Output schema

Primary output

  • category-level pass/warn/fail matrix

Secondary output

  • readiness verdict and blockers

Evidence / caveat output

  • artifact status ledger
  • explicit caveats and unknowns

Required laws

  • ../../laws/evidence-before-done.md
  • ../../laws/non-blender-user-language.md
  • ../../laws/official-runtime-only.md
  • ../../laws/no-arbitrary-python-interface.md

Official runtime boundary

No execution claims without evidence. Text-only and blocked modes must remain explicit.

Operating procedure

  1. Confirm evidence state and run mode.
  2. Validate subject clarity criteria.
  3. Validate composition/camera criteria.
  4. Validate lighting/material criteria.
  5. Validate scale/transform assumptions.
  6. Validate render/export readiness criteria.
  7. Validate GLB/web handoff clarity criteria.
  8. Assign pass/warn/fail by category.
  9. Determine blockers and conditional gaps.
  10. Produce final verdict (Ready/Conditionally Ready/Not Ready/Not Run).

Decision tree

  • If runtime not executed → Not Run or Conditionally Ready (never Ready without evidence).
  • If critical category fails → Not Ready.
  • If all critical pass and only minor warnings remain → Conditionally Ready.

Playbooks

  • Playbook A: text-only planning path
  • Playbook B: runtime-ready path with evidence gating
  • Playbook C: blocked runtime path with caveat-first reporting

Mode handling

Text-only mode

  • evaluate planning quality only
  • mark artifact statuses Not Run

Runtime-ready mode

  • include real artifact checks when present

Blocked runtime mode

  • keep verdict conservative
  • list exact blockers and next actions

Validation checklist

  • [ ] mode explicitly labeled
  • [ ] artifact status ledger present
  • [ ] category rubric complete
  • [ ] blocker list complete
  • [ ] caveats include user impact
  • [ ] final verdict justified
  • [ ] no unsupported success claims
  • [ ] no non-official runtime guidance
  • [ ] plain-language summary included
  • [ ] next actions provided

Pass / Warn / Fail rubric

| Category | Pass | Warn | Fail | |---|---|---|---| | Subject clarity | Clear and aligned | Minor ambiguity | Unclear focal subject | | Composition/camera | Coherent and purposeful | Some weak framing | Framing fails user goal | | Lighting/material | Plan supports intent | Gaps need tuning | Major quality mismatch | | Evidence integrity | Claims align with evidence | Partial evidence | Claims contradict evidence |

Failure handling

  • Missing evidence: downgrade verdict and mark Not Run/Not Produced.
  • Critical fail: mark Not Ready with remediation steps.
  • Unknowns: keep Warn + explicit caveat.

Troubleshooting

  • If all categories pass but no artifacts exist: ensure verdict is not Ready.
  • If pre-existing files found: do not attribute to current run without linkage.
  • If plan quality high but runtime blocked: use Conditionally Ready or Not Run.

Best practices

  • score categories independently before final verdict
  • keep caveats visible in final summary
  • preserve traceability from category score to verdict

Good examples

“Status: Conditionally Ready. Planning categories pass, but runtime artifacts are Not Run in this pass.”

Bad examples

“Looks good overall, ship it.” (no rubric, no evidence mapping)

User-facing response template

  • Current status
  • What passed
  • What needs follow-up
  • Next best action

Anti-patterns

  • skipping required laws or runtime boundary statements
  • claiming runtime/artifact success without evidence
  • using non-official runtime setup paths
  • producing jargon-heavy final output without explanation

Cross-skill handoff

  • Next: glb-web-handoff
  • Then: non-blender-user-response-writer

Non-goals

  • runtime execution
  • evidence-free readiness claims

References

  • https://www.blender.org/lab/mcp-server/
  • https://claude.com/resources/tutorials/using-the-blender-connector-in-claude
  • https://docs.blender.org/manual/en/latest/advanced/command_line/index.html

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.