loop-0e5f14 — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited loop-0e5f14 (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Runs an autonomous improvement loop driven by a goal file (ideal end state description).
You write: goal.md (what the system should do — NOT a task list)
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PRE (deterministic):
pre_flight — goal exists, no blockers
hydrate_context — git log + status
parse_todo — extract unchecked items from goal file
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LLM CORE:
Supervisor — plans 1–4 tasks (output: JSON task array)
Workers — execute ALL tasks IN PARALLEL
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POST (deterministic + conditional LLM):
syntax_check — validate all changed files
fix_syntax — [LLM] one attempt to fix failures
test_sample — run verify_cmd from CLAUDE.md
mid-iter fix — [LLM] if test fails → fix → re-test (Stripe pattern)
commit_changes — commit all worker output
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Deterministic convergence check:
- remaining unchecked items = 0 → CONVERGED
- max iterations hit → exit
- stuck (N× no-commits) → exit
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Repeat until CONVERGED or max iterations# Goal: Improve orchestrator loop mode
## Requirements
- Oracle rejection re-queues task with rejection reason as context
- Worker context budget warning auto-injected at 80%
- Workers get AGENTS.md prepended automatically
## Success criteria
- python -m py_compile server.py passes
- Existing features unaffectedThe supervisor does the task breakdown — not you.
/loop goal.md # Start loop (sonnet, max 10 iter, 4 parallel workers)
/loop goal.md --model haiku # Cheaper/faster supervisor+workers
/loop goal.md --max-iter 3 # Short run to test
/loop goal.md --max-workers 2 # Limit parallel workers
/loop goal.md --max-consecutive-failures 5 # Stop after 5 consecutive worker failures (default: 3)
/loop --status # Check current loop progress
/loop --stop # Stop loop after current iteration
/loop --dry-run goal.md # Preview without running
/loop --resume goal.md # Resume interrupted loopRun /commit to push any remaining uncommitted changes from workers. Run /review to verify all behavior anchors still pass after autonomous changes.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.