AF identity-compass
Hyper-personalized decision compass that extracts your values and choices as vectors from everyday conversations, computes your true life direction (H vector) and alignment score (M) using physics-inspired magnetization + Bayesian updates, and visualizes everything as an interactive decision map. No forms, no questionnaires — just talk. Use when facing career moves, life decisions, identity questions ("who am I?", "is this right for me?"), or comparing opportunities. Includes dialectical dialogue, decision simulation, and Obsidian vault integration for persistent memory.
As a process F 35/100 · Will not run — References files that are not bundled: scripts/visualize_spins.html
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: 11. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: scripts/visualize_spins.html
Process rating: all ten parameters 35/100
- 0Tools and files. 1 referenced file(s) missing: scripts/visualize_spins.html
- 0Result and completion. Does not say what the result is
- 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
- 100Steps. 43 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2025 tokens
- 100Running it twice. No mutating operations
- low 11 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -212 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 2 example trigger phrases
- +3Description length 577: enough signal without eating the budget
- +4Structure: 34 headings
- +3Step-by-step instructions: 43 items
- +4Has examples (10 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.