Execute exactly one eligible Unit in an existing research Workspace; use for stepwise or manual semantic execution when status, Attempt, Artifact, Manifest, checkpoint, and acceptance evidence must…

No licenceAuto-check passed

Install Unit Executor

skills CLI
$ npx skills add WILLOSCAR/research-units-pipeline-skills --skill unit-executor -a claude-code

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

GitHub CLI
$ gh skill install WILLOSCAR/research-units-pipeline-skills unit-executor --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/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/unit-executor .claude/skills/unit-executor && 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
unit-executor
GitHub stars
513
Token cost
~1.1k tokens
SKILL.md length
446 words
Files
2 (incl. scripts)
Skills in repo
107
Repo updated
First seen
Licence
None found

At a glance

Execute exactly one eligible Unit in an existing research Workspace; use for stepwise or manual semantic execution when status, Attempt, Artifact, Manifest, checkpoint, and acceptance evidence must…

  • Works in 5 steps: Reconcile and select one Unit → Open the Attempt → Execute the declared Skill → …
  • Manual semantic execution when status
  • SKILL.md covers Inputs, Outputs, Steps and Context Pointers, plus 2 more sections
  • Runs Python scripts from its folder; calls uv

What it does

Unit Executor is an agent skill from WILLOSCAR/research-units-pipeline-skills. Execute exactly one eligible Unit in an existing research Workspace; use for stepwise or manual semantic execution when status, Attempt, Artifact, Manifest, checkpoint, and acceptance evidence must remain synchronized.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/run.py`).

The repository describes itself as: Research pipelines as semantic execution units: each skill declares inputs/outputs, acceptance criteria, and guardrails. Evidence-first methodology prevents hollow writing…

When your agent uses it

  • Manual semantic execution when status
  • Acceptance evidence must remain synchronized

Example prompts

  • “/unit-executor”

Requirements

  • Python 3

Workflow steps

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

  1. Reconcile and select one Unit
  2. Open the Attempt
  3. Execute the declared Skill
  4. Verify and commit Completion
  5. Stop after one Unit

What it can do on your machine

Read from SKILL.md and the folder at commit c92912a. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • uv

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

  • Network

    No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.

    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

Unit Executor loads about 1.1k tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 446 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 446 words (~1,059 tokens).

“The leading principle is atomicity: one invocation owns one Unit Attempt and either commits one accepted Completion or records one diagnosable block. It never starts a second Unit.”

— opening of SKILL.md by WILLOSCAR
name
unit-executor
binding
library

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (scripts) in .codex/skills/unit-executor of WILLOSCAR/research-units-pipeline-skills.

  • SKILL.md
  • scripts/run.py

Open the folder on GitHubat commit c92912a

Compare with similar skills

Unit Executor 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.

Unit Executor compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Unit Executor this skillWILLOSCAR/research-units-pipeline-skills513—~1.1kAutomated safety check: PassNone
Executealirezarezvani/claude-skills28k—~831Automated safety check: PassMIT
Debugging Executionsn8n-io/n8n207k—~2.6kAutomated safety check: PassCustom licence
Unit Teststhedaviddias/Front-End-Checklist74k—~382Automated safety check: PassMIT
Warp Rust Unit Testswarpdotdev/warp65k1 repos~3.4kAutomated safety check: PassAGPL-3.0
Writing Unit TestsTriliumNext/Trilium38k—~3.2kAutomated safety check: PassAGPL-3.0

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  • Chapter Lead Writer

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Questions about Unit Executor

What does Unit Executor do?

Execute exactly one eligible Unit in an existing research Workspace; use for stepwise or manual semantic execution when status, Attempt, Artifact, Manifest, checkpoint, and acceptance evidence must…. Unit Executor is an agent skill from WILLOSCAR/research-units-pipeline-skills. Execute exactly one eligible Unit in an existing research Workspace; use for stepwise or manual semantic execution when status, Attempt, Artifact, Manifest, checkpoint, and acceptance evidence must remain synchronized.

When should I use Unit Executor?

Unit Executor fits situations like: manual semantic execution when status; acceptance evidence must remain synchronized.

How do I install Unit Executor in Claude Code?

Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill unit-executor -a claude-code`. Or copy the skill folder (.codex/skills/unit-executor in WILLOSCAR/research-units-pipeline-skills) into .claude/skills/unit-executor in your project. Claude Code loads it when a task matches its description.

How do I install Unit Executor in Codex?

Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill unit-executor -a codex`. Or copy the skill folder (.codex/skills/unit-executor in WILLOSCAR/research-units-pipeline-skills) into .agents/skills/unit-executor in your project. Codex loads it when a task matches its description.

Can I use Unit Executor 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 WILLOSCAR/research-units-pipeline-skills --skill unit-executor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/unit-executor, .gemini/skills/unit-executor, .github/skills/unit-executor and .opencode/skills/unit-executor in your project.

What does Unit Executor need to run?

Going by SKILL.md and its folder, Unit Executor needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3.

Does Unit Executor access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Unit Executor 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Unit Executor use?

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

How many tokens does Unit Executor use?

About 1.1k tokens (SKILL.md is roughly 4.2k 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 Unit Executor?

Skills that share tags, products or a category with Unit Executor: Execute (alirezarezvani/claude-skills, 28k stars), Debugging Executions (n8n-io/n8n, 207k stars), Unit Tests (thedaviddias/Front-End-Checklist, 74k stars) and Warp Rust Unit Tests (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Unit Executor?

WILLOSCAR (a GitHub user) maintains it in WILLOSCAR/research-units-pipeline-skills, which has 513 GitHub stars. The repository holds 107 skills in this directory. The repository was last updated on October 5, 2026.

Source: WILLOSCAR/research-units-pipeline-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.