BF elicitation
Psychological profiling through natural conversation using narrative identity research (McAdams), self-defining memory elicitation (Singer), and Motivational Interviewing (OARS framework). Use when you need to: (1) understand someone's core values and motivations, (2) discover formative memories and life-defining experiences, (3) detect emotional schemas and belief patterns, (4) build psychological profiles through gradual disclosure, (5) conduct user interviews that reveal deep insights, (6) design conversational flows for personal discovery, (7) identify identity themes like redemption and contamination narratives, (8) elicit authentic self-disclosure without interrogation.
As a process F 36/100 · Will not run — References files that are not bundled: elicitation/self-defining-memories.md, elicitation/narrative-identity.md, elicitation/motivational-interviewing.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: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: elicitation/self-defining-memories.md - warning
missing-refreference to a missing file: elicitation/narrative-identity.md - warning
missing-refreference to a missing file: elicitation/motivational-interviewing.md - warning
missing-refreference to a missing file: elicitation/values-elicitation.md - warning
missing-refreference to a missing file: elicitation/schema-detection.md - warning
missing-refreference to a missing file: elicitation/question-sequences.md - warning
missing-refreference to a missing file: elicitation/language-inference.md
Process rating: all ten parameters 36/100
- 0Tools and files. 7 referenced file(s) missing: elicitation/self-defining-memories.md, elicitation/narrative-identity.md, elicitation/motivational-interviewing.md
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 7 mutating operations with no state check
- 40Consistency. Frontmatter name (elicitation) differs from the folder (mar-elicitation)
- 50When it triggers. No condition that starts the skill
- 60Failures and branches. 2 branches
- 70Execution cost. Instruction body is 4244 tokens
- 100Steps. 102 steps
- low 15 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
- +4No input/output examples
- +2Single-language instructions
- +3Description length 684: enough signal without eating the budget
- +4Structure: 51 headings
- +3Step-by-step instructions: 102 items
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.