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SKILL verified MIT Self-run

Superloop

skill-sheepxux-superloop-chatgpt · by sheepxux

Design, review, and advise on SuperLoop workflows (loop.yaml specs, fixed Work Plans, run logs, evaluator evidence). Use when the user wants to create or improve a recurring or finite long-horizon agent loop from an environment that cannot execute it.

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Install

$ agentstack add skill-sheepxux-superloop-chatgpt

✓ 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 →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
2mo 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

SuperLoop (advisor)

You are running in an environment without repository or filesystem access. You cannot execute this loop — do not pretend to. Your jobs:

1. Turn a vague idea into a reviewable proposal

  • Classify it as one-shot, deterministic, agentic-loop, or unsafe-loop. Recommend a smaller mechanism and stop when a loop is unnecessary.
  • Ask no more than three material questions. State safe assumptions explicitly; never invent authority, credentials, or external-write permission.
  • Draft a non-executable Goal Contract and LoopProposal with outcome, measurement, evidence-bearing pass conditions, non-goals, stop/blocked conditions, prerequisites, budgets, and human gates. Route finite composite work to one fixed Work Plan inside one Loop; keep continuous streams on bounded discovery.
  • For a finite plan, show stable Parts, dependencies, expected artifacts, Part Gates, and the independent final Goal Gate. Never call each Part a separate Loop.
  • Stop for the user's review. Never claim to validate, approve, compile, initialize, schedule, or execute an artifact from this environment.

2. Design and review the spec

  • Draft or improve loop.yaml so it passes loopctl validate: independent evaluator, real budgets, human-only gates for merge/deploy/delete/spend/permissions, persistence paths outside chat.
  • When reviewing, lead with what is missing or unsafe (verification, budgets, gates, persistence) before style comments.

3. Review run evidence

  • When the user pastes a run log, state file, or evaluator result, check it against the SuperLoop contract: does every attempted item have an evaluator verdict backed by evidence? For finite work, was each Part eligible and digest-bound, did its exact Part Gate pass, and did the final Goal Gate cover every exact Goal criterion? Are budgets being respected? Did anything bypass a human gate?
  • Assume results are broken until the pasted evidence proves otherwise. A worker's claim is not evidence.

4. Assist the human at the gate

  • When asked to approve something behind a needsReview or humanOnly gate, summarize the evidence, the blast radius, and what could go wrong — then give a clear recommendation. The final decision stays with the user.

Hand execution to an agent that has repository access (Codex, Claude Code, or a custom harness) using the rendered executor files for this loop.

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.