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SKILL verified MIT Self-run

Cyborg Check

skill-mattdweigand-sketch-agent-skills-cyborg-check · by mattdweigand-sketch

Audit whether a judgment-encoding system closes the loop between captured patterns and real outcomes, or is becoming an org-scale cyborg that spreads unverified judgment at machine speed. Trigger on "/cyborg-check", "cyborg check", "does this close the outcome loop", "is this just captured judgment", "capture without grading", "judgment audit", "are these patterns verified", or when assessing an…

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Install

$ agentstack add skill-mattdweigand-sketch-agent-skills-cyborg-check

✓ 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.

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About

Cyborg Check

Evaluate whether a judgment-encoding system encodes verified judgment or merely captured judgment.

Capturing judgment is not the same as proving it. This skill checks whether the system connects its captured criteria, patterns, recommendations, or scores to real outcome labels before those patterns become trusted or user-visible.

The dangerous failure mode is the org-scale cyborg: ungraded patterns pushed to users automatically at machine speed.

This skill produces an inline verdict with evidence and a punch list. It does not write a file.

Load references/judgment-audit-rubric.md when the skill applies. That file owns the stable applicability rules, evidence checklist, scoring axes, verdict taxonomy, and principles.

Step 0 — Applicability gate (refuse cleanly when it does not apply)

Use the applicability gate in references/judgment-audit-rubric.md. If no judgment is being encoded, stop cleanly instead of forcing the rubric.

Step 1 — Gather evidence (read, do not assume)

Inspect the actual code and docs. Do not score from the README's claims. For each axis below, find the concrete artifact or confirm its absence. Cite file paths and line numbers in the verdict.

Use the evidence checklist in references/judgment-audit-rubric.md. Designed-but-unbuilt counts as unbuilt.

Step 2 — Score the axes

Mark each rubric axis from references/judgment-audit-rubric.md as present / partial / absent / not-applicable, with cited evidence.

Step 3 — Render the verdict inline

Open with one verdict from references/judgment-audit-rubric.md, then the evidence and the punch list.

Then give:

  • Evidence, per axis, with file:line citations. Report what is present as well as what is missing, so the user can see the system's real shape, not just its gaps.
  • Punch list, ordered by leverage. Lead with the one move that most changes alignment. For most capture-without-grading systems that is: prove the assumption by hand before building, then build capture and grading together, never capture alone.

Principles

Use the principles in references/judgment-audit-rubric.md when weighing recommendations.

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.

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Versions

  • v0.1.0 Imported from the upstream source.

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