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BF ai-operating-economics

Use when deciding whether an AI-enabled workflow should be adopted, scaled, constrained, redesigned, or retired, and the decision must connect business outcomes, worker or user effects, quality guardrails, full operating cost, telemetry, uncertainty, and accountable governance. Do not use for a standalone financial model, infrastructure cost calculation, agent evaluation design, runtime operations, or general AI governance; route those details to the neighboring specialist skills.

magnus919/agent-skills Agent Skills author: magnus919 MIT 7 files body ≈ 4 723 tokens Open the sourcegithub.com↗ analyzed 27 h ago

Use when deciding whether an AI-enabled workflow should be adopted, scaled, constrained, redesigned, or retired, and the decision must connect business…

As a process F 51/100 · Will not run — References files that are not bundled: ../financial-modeling/SKILL.md, ../capacity-and-cost-engineering/SKILL.md, ../product-analytics-and-measurement/SKILL.md

ProcedureAI and agentsInfrastructureResearchtype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
B
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
F
51/100
Will not run
References files that are not bundled: ../financial-modeling/SKILL.md, ../capacity-and-cost-engineering/SKILL.md, ../product-analytics-and-measurement/SKILL.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
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
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../financial-modeling/SKILL.md
  • warning missing-ref reference to a missing file: ../capacity-and-cost-engineering/SKILL.md
  • warning missing-ref reference to a missing file: ../product-analytics-and-measurement/SKILL.md
  • warning missing-ref reference to a missing file: ../data-scientist/SKILL.md
  • warning missing-ref reference to a missing file: ../agent-evals-and-observability/SKILL.md
  • warning missing-ref reference to a missing file: ../agent-production-operations/SKILL.md
  • warning missing-ref reference to a missing file: ../ai-governance/SKILL.md
  • warning missing-ref reference to a missing file: ../production-readiness/SKILL.md
  • warning missing-ref reference to a missing file: ../product-operations-and-governance/SKILL.md

Process rating: all ten parameters 51/100

Will not run. References files that are not bundled: ../financial-modeling/SKILL.md, ../capacity-and-cost-engineering/SKILL.md, ../product-analytics-and-measurement/SKILL.md
  • 0Tools and files. 9 referenced file(s) missing: ../financial-modeling/SKILL.md, ../capacity-and-cost-engineering/SKILL.md, ../product-analytics-and-measurement/SKILL.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 4 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 50Failures and branches. 0 branches, has a failure section
  • 70Execution cost. Instruction body is 4723 tokens
  • 100Steps. 68 steps
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • low 10 top-level sections: this looks like several domains in one skill
  • low No test case covers injection arriving through data

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
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 485: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 68 items
  • +4Reference files are cited in the instructions (2 of 2)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.