Skill audit report

ai-systems-coach Audit report.

Critique a hand-drawn stock-flow / causal-loop diagram and identify the system archetype. Use when the user wants to analyze a stock-flow diagram, validate stocks/flows/loops, identify a system archetype (the eight from Pegasus/Senge - Limits to Growth/Success, Shifting the Burden + Addiction, Fixes That Fail, Drifting Goals, Escalation, Growth and Underinvestment, Success to the Successful, Tragedy of the Commons), find leverage points (Meadows hierarchy), or prepare a system dynamics model for simulation. Triggers on Russian and English requests like "разбери мою stock-flow диаграмму", "какой это архетип", "leverage points", "critique my causal loop diagram", "limits to growth", "shifting the burden", "fixes that fail", "пределы роста", "сдвиг бремени", "решения, которые проваливаются", "экспресс-режим", "drifting goals", "escalation", "tragedy of the commons", "success to the successful", "growth and underinvestment", "дрейф целей", "эскалация", "трагедия общин", "успех успешным", "

EXPERIMENTAL · REVIEWNeeds reviewGenerated Oct 21, 2026Heuristic metadata audit
74
Audit
72
Trust
55
Quality
77
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

72
Strong shortlist

OpenAgentSkill Trust Score

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

GitHub adoption

FAIL

30

23 GitHub stars

Stars/forks activity

FAIL

32

23 stars, 7 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

5d since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

INFO

72

command execution surface

Install availability

PASS

92

npx skills add BayramAnnakov/systems-thinking-skills --skill ai-systems-coach

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

76

shell or command execution

Repository evidence

PASS

86

https://github.com/BayramAnnakov/systems-thinking-skills/tree/main/skills/ai-systems-coach

Review status

WARN

46

AI review approval is missing

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 14 Needs review

Install path

92

PASS

npx skills add BayramAnnakov/systems-thinking-skills --skill ai-systems-coach

Repository

88

PASS

https://github.com/BayramAnnakov/systems-thinking-skills/tree/main/skills/ai-systems-coach

License

86

PASS

MIT

Maintenance

100

PASS

5d since push

AI review

55

CHECK

Review approval is missing

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

72

CHECK

command execution surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

76

CHECK

shell or command execution

Stars/forks activity

32

FIX

23 stars, 7 forks; issue activity unavailable in current metadata

Adoption

42

CHECK

23 GitHub stars

Financial decision safety

58

CHECK

Research-only use: do not treat output as financial advice or execute a position without human approval.

Warnings

  • Financial research output is not financial advice; require human review before any live investment decision
  • Low GitHub adoption signal
  • AI review approval is missing
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • GitHub adoption: 23 GitHub stars
  • Stars/forks activity: 23 stars, 7 forks; issue activity unavailable in current metadata
  • Review status: AI review approval is missing

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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