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AF ai-business-hierarchies

Build and operate autonomous AI businesses using hierarchical agent systems. Implements folder-based company structures with CEO, Managers, Supervisors, and Workers that run 24/7 with daily tracking, auto-optimization, and self-healing capabilities. Perfect for building AI-powered businesses that scale without human intervention.

ClawHub Agent Skills author: miknasbh-stack v1.0.0 MIT-0 7 files · 2 scripts body ≈ 3 222 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 33/100 · Will not run — References files that are not bundled: templates/agent-config.md

GeneratorAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
96
Quality 40%
81
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: templates/agent-config.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 4

✓ No critical or high findings

Medium and low: 4
  • low Dangerous commands cmd-cron-mention scripts/setup-daily-reporting.sh:108
    Mentions editing / listing crontab
    crontab -l > /tmp/current-cron 2>/dev/null || touch /tmp/current-cron
  • low Dangerous commands cmd-cron-mention scripts/setup-daily-reporting.sh:117
    Mentions editing / listing crontab
    crontab -l | grep "$BUSINESS_NAME" | grep -v "^#" | sed 's/^/  /' || echo "No cron jobs found"
  • low Dangerous commands cmd-cron-mention scripts/setup-daily-reporting.sh:128
    Mentions editing / listing crontab (string literal in code, not executed)
    echo "To view current crontab: crontab -l"
    code literal
  • low Dangerous commands cmd-cron-mention scripts/setup-daily-reporting.sh:129
    Mentions editing / listing crontab (string literal in code, not executed)
    echo "To remove jobs: crontab -e (delete lines for $BUSINESS_NAME)"
    code literal

Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: templates/agent-config.md

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: templates/agent-config.md
  • 0Tools and files. 1 referenced file(s) missing: templates/agent-config.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 4 mutating operations with no state check
  • 40Consistency. Frontmatter name (ai-business-hierarchies) differs from the folder (miknas-ai-business-hierarchies)
  • 50Failures and branches. 0 branches, has a failure section
  • 85Steps. 106 steps, 1 vague phrases
  • 100Execution cost. Instruction body is 3222 tokens
  • 100Progress reporting. Reports progress
  • low 17 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 331: enough signal without eating the budget
  • +4Structure: 50 headings
  • +3Step-by-step instructions: 106 items
  • +4Has examples (13 code blocks)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: suspicious
This skill is not clearly malicious, but it asks users to enable persistent autonomous business agents and reporting with weak boundaries around sensitive business actions and session history.
LLM: suspicious (high) · VirusTotal: · 29 May 2026