AF industry-learning-sprint
Activate when: user is entering an unfamiliar industry and needs a working mental model fast; user says 'I need to understand this sector before a meeting next week'; user is evaluating an acquisition or investment in a domain they don't know; user is preparing for a high-stakes expert conversation with limited time; user needs to produce an investment thesis or market entry recommendation under time pressure. Do NOT activate when: user already has deep domain expertise in the target industry; user needs regulatory or legal precision — engage domain-specific counsel instead. More: deciqai.com/c/industry-learning-sprint
Activate when: user is entering an unfamiliar industry and needs a working mental model fast; user says 'I need to understand this sector before a meeting…
As a process F 44/100 · Will not run — References files that are not bundled: ../../probabilistic-thinking/SKILL.md, ../../first-principles/SKILL.md, ../../confirmation-bias/SKILL.md
How to improve
- 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: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: ../../probabilistic-thinking/SKILL.md - warning
missing-refreference to a missing file: ../../first-principles/SKILL.md - warning
missing-refreference to a missing file: ../../confirmation-bias/SKILL.md
Process rating: all ten parameters 44/100
- 0Tools and files. 3 referenced file(s) missing: ../../probabilistic-thinking/SKILL.md, ../../first-principles/SKILL.md, ../../confirmation-bias/SKILL.md
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 60Result and completion. Output format stated, no completion criterion
- 100Steps. 27 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2232 tokens
- 100Running it twice. Mutating operations check current state
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)
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 626: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 27 items
- +3Output format is stated explicitly
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.