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Ai wizard interpreter

Skill thevibethinker/vibe-thinker-skills/ai-wizard-interpreter

Portable, standalone Zo Computer skills you can install, reuse, and share.

Install
npx -y skills add thevibethinker/vibe-thinker-skills --skill ai-wizard-interpreter

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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:

  1. A file they hand you (any path to a profile.json, or a run directory).
  2. A run id already in Databases/ai-wizard/runs/.
  3. 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

  1. Locate the dossier (ask for a file, a run id, or use --latest).
  2. Run explain. Default output is human-readable markdown.
  3. Present the markdown to the person. If it's going into a page/API, use --format json.
  4. 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 (see references/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.md and 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 range or per-dimension confidence still 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. explain and handle run locally. Only the explicit, non-dry-run submit command 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).

Keep looking

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