Real Skill packageSource verifiedClawHub registry

Agent Loop Engineering

Runs low-context, bounded-autonomous coding loops with proactive repair, evidence gates, and independent final review.

Identity and source

Publisher attributionEnglandTongregistry owner unverified by skillvetai
Functional categorySoftware Developmentautomatically inferred · 78% rule confidence
Package forminstruction with code25 recorded files
Canonical sourceClawHub registryclawhub:englandtong:agent-loop-engineering
Open canonical source ↗

Platform declarations

These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.

OpenClawnative officialProvenance: registry distribution

Independent structural checks

These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.

Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 8/13/2026.claude/skills/agent-loop-engineering

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 8/13/2026.agents/skills/agent-loop-engineering

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 8/13/2026skills/agent-loop-engineering

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.

clawhub install @englandtong/agent-loop-engineering
clawhub inspect @englandtong/agent-loop-engineering --version 2.1.0

Security evidence

SkillVetAI static result: no findings detected

This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.

Status
completed
Coverage
full text content
Files
25 / 25 inspected as text
Checked
8/13/2026, 7:30:35 PM
Scanner
0.1.3
Policy
1.0.3
3 inferred permission indicators
  • network access — automatically inferred
  • filesystem read — automatically inferred
  • filesystem write — automatically inferred
1 dependency and API indicators
  • api: clawhub.ai
External clawhub result: clean

This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.

Evidence checked
8/13/2026, 9:28:15 AM
Release binding
Matches this record
  • vt: clean
  • skillspector: clean
  • llm: clean

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:f2c6d8a820045ce743c9b1b71f575bf6895bc0b5845201e21927b77b74ca97e6
Show up to 25 recorded paths
  • _meta.json
  • agents/openai.yaml
  • references/en/automation-and-handoff.md
  • references/en/evidence-and-completion.md
  • references/en/examples.md
  • references/en/execution-loop.md
  • references/en/migration.md
  • references/en/safety-and-context.md
  • references/zh-CN/automation-and-handoff.md
  • references/zh-CN/evidence-and-completion.md
  • references/zh-CN/examples.md
  • references/zh-CN/execution-loop.md
  • references/zh-CN/migration.md
  • references/zh-CN/safety-and-context.md
  • scripts/bootstrap-active-packet.mjs
  • scripts/state-tools-lib.mjs
  • scripts/test-state-tools.mjs
  • scripts/validate-loop-state.mjs
  • skill-card.md
  • SKILL.md
  • SKILL.zh-CN.md
  • templates/en/ACTIVE_PACKET.md
  • templates/en/LOOP_RUNS.example.jsonl
  • templates/zh-CN/ACTIVE_PACKET.md
  • templates/zh-CN/LOOP_RUNS.example.jsonl

Source changelog

Adds Bounded Autopilot, proactive failure diagnosis and repair, stage review with independent Standard/Full acceptance, Compact context, focused-first testing, aggregated legacy diagnostics, and real-path write boundaries.