scdenney/open-science-skills · codex/llm-calibration-logprobs/SKILL.md
llm-calibration-logprobs skillA
Reads a model's own uncertainty off its token log-probabilities — collecting logprobs and aggregating multi-token labels, confidence tiers and margins for triage, calibration assessment with ECE, Brier scores, and reliability diagrams, using confidence downstream without laundering it into evidence, and what to archive for reproducibility. Use when the user asks how confident a classifier was on each item, asks about logprobs, top-k tokens, calibration, ECE, Brier, or reliability diagrams, or wa
Latest version
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260905.39e8276 latest | 2026-09-05 | 39e8276 | 19,621 B | A | view · diff |
| git:20260902.da5a263 | 2026-09-02 | da5a263 | 19,154 B | A | view · diff |
| git:20260808.c81b350 | 2026-08-08 | c81b350 | 18,573 B | A | view · diff |
| git:20260702.0d142fe | 2026-07-02 | 0d142fe | 18,741 B | A | view |
Audit of the latest version
A 17 of 17 checks passed. Deterministic, no model, same answer every run.
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (19621 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
GitHub
scdenney/open-science-skills · 54 stars · license NOASSERTION · pushed 2026-09-05 · branch main
API
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