foundations-information-theory SKILL.md skillA
foundations-information-theory from vasilyu1983/ai-agents-public is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add vasilyu1983/ai-agents-public/foundations-information-theory@v1.3Pins v1.3 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- vasilyu1983/ai-agents-public
- Path
skills/universal/foundations-information-theory/SKILL.md- Versions recorded
- 2
- Latest version
- v1.3, committed Oct 12, 2026
- First version recorded
- Oct 5, 2026
- Size
- 15,904 bytes
- Repository stars
- 101
- License
- MIT
Measures entropy, mutual information, KL/JS, bits-per-byte. Use when picking KL direction, comparing cross-tokenizer perplexity, trusting MI estimates, or semantic-entropy gating.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Information Theory Foundations ## When to Apply **Apply when a decision depends on a defined distribution:** - Distribution shift or model-update comparison (KL direction, JS with a stated log base) - Feature relevance or leakage screening by mutual information, with an estimator and a null baseline - Model comparison across tokenizers (bits-per-byte or bits-per-character, not perplexity) - Hallucination or abstention gating via semantic entropy over meaning clusters - RL post-training health: policy-entropy collapse in RLVR - Context, prompt, KV-cache or agent-handoff compression framed as a measured rate/task-loss tradeoff - Error floors (Fano), coding limits (entropy, capacity, rate-distortion), model selection (MDL) - LLM-serving questions: speculative-decoding acceptance, quantization or KV-cache compression claims, log loss vs Brier for calibration ([references/llm-practice.md](references/llm-practice.md)) **Skip or hand off when:** - The question is causal, not dependence: foundations-causal-inference - Linear or monotonic dependence is enough: Pearson or rank correlation …
Read the whole file at its exact version.
How to install
mdr add vasilyu1983/ai-agents-public/foundations-information-theory@sha256:2a8a3d1fe03535d9The line at the top of this page pins the label v1.3, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_m3tuvwf2gjw2deki)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Oct 5, 2026 and Oct 12, 2026, about one every 7 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.3 latest | 2026-10-12 | 34b57f4 | 15,904 B | A | view · diff |
| v1.3 | 2026-10-05 | 5db538c | 15,351 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (15904 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
vasilyu1983/ai-agents-public · 101 stars · license MIT · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_m3tuvwf2gjw2deki GET https://markdownregistry.com/api/v1/resolve?ref=vasilyu1983/ai-agents-public/foundations-information-theory GET https://markdownregistry.com/api/v1/blob/2a8a3d1fe03535d99ef551fd6485b985fe679d96f013b5060940992d1ce79964
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.