Agent skill

Distribution Search

by lazyFrogLOL in lazyFrogLOL/Harness_Engineering

Guidance for finding probability distributions that satisfy specific statistical constraints such as KL divergence targets, entropy requirements, or moment conditions.

No licenceAuto-check passed

Install Distribution Search

skills CLI
$ npx skills add lazyFrogLOL/Harness_Engineering --skill distribution-search -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install lazyFrogLOL/Harness_Engineering distribution-search --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/lazyFrogLOL/Harness_Engineering.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/distribution-search .claude/skills/distribution-search && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
distribution-search
GitHub stars
128
Token cost
~2.6k tokens
SKILL.md length
775 words
Files
1
Skills in repo
32
Repo updated
First seen
Licence
None found

At a glance

Guidance for finding probability distributions that satisfy specific statistical constraints such as KL divergence targets, entropy requirements, or moment conditions.

  • Works in 5 steps: Mathematical Analysis Before Coding → Efficient Parameterization → Optimization Strategy → …
  • SKILL.md covers Overview, When to Use This Skill, Methodology and Common Pitfalls, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Distribution Search is an agent skill from lazyFrogLOL/Harness_Engineering. Guidance for finding probability distributions that satisfy specific statistical constraints such as KL divergence targets, entropy requirements, or moment conditions. This skill should be used when tasks involve constructing discrete or continuous probability distributions with specified divergence measures, entropy values, or other distributional properties through numerical optimization.

Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

Example prompts

  • “/distribution-search”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Mathematical Analysis Before Coding
  2. Efficient Parameterization
  3. Optimization Strategy
  4. Code Organization
  5. Verification

What it can do on your machine

Read from SKILL.md and the folder at commit cae3b25. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Distribution Search loads about 2.6k tokens when it runs. Until then it costs about 103 tokens; SKILL.md has 775 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~103
When it runs · the whole SKILL.md, loaded when a task matches
~2.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 775 words (~2,590 tokens).

“This skill provides systematic approaches for finding probability distributions that meet specific statistical constraints. Common tasks include constructing distributions with target KL divergence values (forward or backward), specified entropy, moment constraints, or combinations thereof. The approach emphasizes mathematical analysis before…”

— opening of SKILL.md by lazyFrogLOL
name
distribution-search

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/distribution-search of lazyFrogLOL/Harness_Engineering.

Open the folder on GitHubat commit cae3b25

Compare with similar skills

Distribution Search next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Distribution Search compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Distribution Search this skilllazyFrogLOL/Harness_Engineering128—~2.6kAutomated safety check: PassNone
Statistical PowerK-Dense-AI/scientific-agent-skills48k1 repos~4.4kAutomated safety check: NotesMIT
Manuscript Statistics AuditYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Statistical Analystalirezarezvani/claude-skills28k—~2.5kAutomated safety check: PassMIT
Distributed Triagepytorch/pytorch104k—~2.8kAutomated safety check: PassCustom licence
Find Releaseflutter/flutter179k—~545Automated safety check: PassBSD-3-Clause

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Questions about Distribution Search

What does Distribution Search do?

Guidance for finding probability distributions that satisfy specific statistical constraints such as KL divergence targets, entropy requirements, or moment conditions. Distribution Search is an agent skill from lazyFrogLOL/Harness_Engineering. Guidance for finding probability distributions that satisfy specific statistical constraints such as KL divergence targets, entropy requirements, or moment conditions.

How do I install Distribution Search in Claude Code?

Run `npx skills add lazyFrogLOL/Harness_Engineering --skill distribution-search -a claude-code`. Or copy the skill folder (skills/distribution-search in lazyFrogLOL/Harness_Engineering) into .claude/skills/distribution-search in your project. Claude Code loads it when a task matches its description.

How do I install Distribution Search in Codex?

Run `npx skills add lazyFrogLOL/Harness_Engineering --skill distribution-search -a codex`. Or copy the skill folder (skills/distribution-search in lazyFrogLOL/Harness_Engineering) into .agents/skills/distribution-search in your project. Codex loads it when a task matches its description.

Can I use Distribution Search in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lazyFrogLOL/Harness_Engineering --skill distribution-search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/distribution-search, .gemini/skills/distribution-search, .github/skills/distribution-search and .opencode/skills/distribution-search in your project.

What does Distribution Search need to run?

SKILL.md names no scripts, command-line tools or credentials: Distribution Search is instructions for the agent only. Our summary lists: Python 3.

Does Distribution Search access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Distribution Search safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Distribution Search use?

No licence was found for Distribution Search or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Distribution Search use?

About 2.6k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Distribution Search?

Skills that share tags, products or a category with Distribution Search: Statistical Power (K-Dense-AI/scientific-agent-skills, 48k stars), Manuscript Statistics Audit (Yuan1z0825/nature-skills, 47k stars), Statistical Analyst (alirezarezvani/claude-skills, 28k stars) and Distributed Triage (pytorch/pytorch, 104k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Distribution Search?

lazyFrogLOL (a GitHub user) maintains it in lazyFrogLOL/Harness_Engineering, which has 128 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on May 18, 2026.

Source: lazyFrogLOL/Harness_Engineering on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.