Ai wizard interpreter
Skill thevibethinker/vibe-thinker-skills/ai-wizard-interpreter
Portable, standalone Zo Computer skills you can install, reuse, and share.
npx -y skills add thevibethinker/vibe-thinker-skills --skill ai-wizard-interpreterAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Explain an AI Wizard dossier (profile.json) in plain language — what the score means, exactly how it was computed, what drove it up or down, how confident it is, and what to do next. Use when someone submits their AI Wizard result and wants it interpreted. Read-only; never runs or modifies the ai-wizard skill.
SKILL.md
6.2 KB, as published. Nobody here has run it
AI Wizard Interpreter
The ai-wizard skill produces a score but isn't very explainable on its own. This skill is the interpreter layer: hand it a dossier and it explains the result the way a coach would — grounded in the actual scoring math, not vibes.
It is strictly read-only toward ai-wizard: it never imports, runs, or edits that skill. It only reads the profile.json that ai-wizard already emitted.
What "submit your dossier" means
A dossier is the profile.json AI Wizard writes to Databases/ai-wizard/runs/<run-id>/profile.json. People can submit it three ways:
- A file they hand you (any path to a
profile.json, or a run directory). - A run id already in
Databases/ai-wizard/runs/. - The latest run on this workspace.
Commands
# Explain a specific dossier file
python3 Skills/ai-wizard-interpreter/scripts/interpret.py explain --profile <path/to/profile.json>
# Explain by run id
python3 Skills/ai-wizard-interpreter/scripts/interpret.py explain --run <run-id>
# Explain the most recent run
python3 Skills/ai-wizard-interpreter/scripts/interpret.py explain --latest
# Machine-readable explanation (for a UI/API)
python3 Skills/ai-wizard-interpreter/scripts/interpret.py explain --latest --format json
# Save a copy of the report (markdown or json) alongside printing it
python3 Skills/ai-wizard-interpreter/scripts/interpret.py explain --run <run-id> --out report.md
How to run this skill
- Locate the dossier (ask for a file, a run id, or use
--latest). - Run
explain. Default output is human-readable markdown. - Present the markdown to the person. If it's going into a page/API, use
--format json. - If the script prints a
WARNING: score reconstruction off by N points, ai-wizard's scoring formula has changed — tell the person the math walk-through is approximate and flag it for maintenance (seereferences/score-formula.md).
What the explanation contains
- Headline: score/1000, plain-language band, honest range, maturity stage + meaning, archetype.
- The actual math: the three skill groups, each group's 0–1 average, its weight, and roughly how many of the 1000 points it contributed — then the exact final equation. This is reconstructed from the profile and verified against the profile's own
overall, so it's faithful, not a paraphrase. - What pushed the score UP / DOWN: the strongest and weakest individual axes, in plain English.
- How much to trust each part: per-dimension confidence (when the profile stores it) and semantic-review status.
- Honest caveats, risks, and a prioritized "do these next" plan.
Submitting to the Vibe Pill scoreboard
The Vibe Pill site hosts a public, pseudonymous leaderboard at https://www.thevibepill.com/scoreboard. People can put their score on it straight from this skill.
How identity works (read this): submission is self-attested and
pseudonymous. The skill derives a stable two-word handle — an
adjective + animal like Rugged Walrus — by hashing a per-workspace seed
(ZO_USER, falling back to the identity token or hostname). The seed is
never transmitted; only the derived handle and an opaque, non-reversible
dedup_key are sent. The same workspace always gets the same handle, so
re-submitting updates the existing row instead of creating a duplicate.
The score is not trusted as-claimed. The payload includes the score
components (section averages, coverage estimate, semantic bonus). The
scoreboard server re-runs ai-wizard's exact formula on those components and
rejects the submission if the recomputed score doesn't match the claimed one
(±2 pts). This is the "simple authentication" of the score: a person can't
just POST 999 — the math has to reproduce it.
# See your derived handle without submitting anything
python3 Skills/ai-wizard-interpreter/scripts/interpret.py handle
# Preview the exact payload without sending it (safe, no network)
python3 Skills/ai-wizard-interpreter/scripts/interpret.py submit --latest --dry-run
# Submit your latest run to the live scoreboard
python3 Skills/ai-wizard-interpreter/scripts/interpret.py submit --latest
# Submit a specific run/profile, or point at a different host
python3 Skills/ai-wizard-interpreter/scripts/interpret.py submit --run <run-id>
python3 Skills/ai-wizard-interpreter/scripts/interpret.py submit --latest --endpoint https://www.thevibepill.com
submit defaults to --endpoint https://www.thevibepill.com. It prints the
server's verified score and a link to the board. Per workspace policy, only
run a real (non---dry-run) submit when the person has asked to be put on the
board — it's an external action.
Design notes
- Faithful, not invented. The score formula constants live in
references/score-formula.mdand are mirrored in the script. The interpreter solves for the two hidden inputs (evidence coverage and the semantic bonus) by inverting ai-wizard's confidence formula, then checks that its reconstruction reproduces the stored score. If it can't (delta > 1 point), it says so rather than bluffing. - Degrades gracefully. Older profiles that lack
rangeor per-dimensionconfidencestill work — the range is recomputed from confidence using ai-wizard's documented uncertainty formula, and missing dimension data is stated plainly. - Local explanation, explicit submission.
explainandhandlerun locally. Only the explicit, non-dry-runsubmitcommand sends the documented pseudonymous score payload to the configured scoreboard.
Outputs
By default the explanation is printed to stdout. With --out <path> it is also written there (use --dry-run to preview without writing).