BF ai-augmentation-not-automation
Makes the strategic and moral case for AI augmentation over pure automation, providing leaders with frameworks for job redesign, creativity-driven AI deployment, and long-term workforce investment. Draws on the centaur model from chess and case studies across industries to demonstrate that human-AI collaboration outperforms either alone. Use when deciding between automating jobs and redesigning them, when AI adoption is eroding workforce skills, when boards pressure for automation-driven cost cuts, when designing new roles that pair human creativity with AI capabilities, or when facing the long-term consequences of over-automation.
As a process F 49/100 · Will not run — References files that are not bundled: ai-stakeholder-balance.md, ai-human-centered-approach.md, ai-emotional-intelligence.md
How to improve
- For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- The text references files that are not there: add them or drop the references.
- 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 · 0
✓ No critical or high findings
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 639 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period) - warning
body-longSKILL.md body ≈ 5398 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: ai-stakeholder-balance.md - warning
missing-refreference to a missing file: ai-human-centered-approach.md - warning
missing-refreference to a missing file: ai-emotional-intelligence.md - warning
missing-refreference to a missing file: ../frameworks/disruptive-innovation.md - warning
missing-refreference to a missing file: ../leadership/ai-era-leadership.md - warning
missing-refreference to a missing file: ../leadership/learning-agility.md - note
frontmatter-keyunknown frontmatter key "complexity" - note
frontmatter-keyunknown frontmatter key "stage" - note
frontmatter-keyunknown frontmatter key "related_skills"
Process rating: all ten parameters 49/100
- 0Tools and files. 6 referenced file(s) missing: ai-stakeholder-balance.md, ai-human-centered-approach.md, ai-emotional-intelligence.md
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 12 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 60Result and completion. Output format stated, no completion criterion
- 60Failures and branches. 2 branches
- 70Execution cost. Instruction body is 5398 tokens
- 100Steps. 14 steps
- 100Consistency. Name and required fields are in place
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
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)
- +1No license
- +2Single-language instructions
- +3Description length 639: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 14 items
- +3Output format is stated explicitly
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.