Skill audit report

agentsop-bounded-loop Audit report.

Universal discipline for any LM-driven loop — agent retries, plan-act-observe, multi-agent handoffs, optimiser passes, test-fix cycles. Encodes the one rule every framework documents quietly and every team relearns expensively: the LM in the loop is NEVER a reliable terminator. Termination must be provided by an explicit counter + exit predicate + stagnation signal + escalation path that live OUTSIDE the LM's control. This is a tool- level, framework-agnostic skill. It maps onto LangGraph (recursion_limit + state counter + interrupt), CrewAI (max_iter + max_rpm + human_input), Claude / OpenAI SDKs (max_iterations + tool_use_budget), DSPy (declared evaluation budget), Aider (REPL + explicit retry cap), and AutoGen (max_consecutive_auto_reply). Search keywords: infinite loop, recursion limit, recursion_limit, GraphRecursionError, max iterations, max_iter, agent stuck, agent won't stop, runaway agent, ReAct loop not terminating, agent repeating itself.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Oct 12, 2026Heuristic metadata audit
79
Audit
76
Trust
69
Quality
82
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

76
Strong shortlist

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

INFO

62

357 GitHub stars

Stars/forks activity

WARN

57

357 stars, 19 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

1mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

INFO

64

credential or environment access, database surface

Install availability

PASS

92

npx skills add agentsope/SkillAlchemy --skill agentsop-bounded-loop

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

62

secrets or environment access, database access

Repository evidence

PASS

86

https://github.com/agentsope/SkillAlchemy/tree/master/skills/agentsop-bounded-loop

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

7 Passed · 5 Needs review

Install path

92

PASS

npx skills add agentsope/SkillAlchemy --skill agentsop-bounded-loop

Repository

88

PASS

https://github.com/agentsope/SkillAlchemy/tree/master/skills/agentsop-bounded-loop

License

86

PASS

MIT

Maintenance

88

PASS

1mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

64

CHECK

credential or environment access, database surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

62

CHECK

secrets or environment access, database access

Stars/forks activity

57

FIX

357 stars, 19 forks; issue activity unavailable in current metadata

Adoption

68

INFO

357 GitHub stars

Warnings

  • Quality score needs review
  • Stars/forks activity: 357 stars, 19 forks; issue activity unavailable in current metadata

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

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