Agent skill

Human Checkpoint

by WILLOSCAR in WILLOSCAR/research-units-pipeline-skills

Review and record one pending human checkpoint in a research Workspace; use when a HUMAN Unit is blocked on an Approve C decision, and never treat silence or artifact existence as approval.

No licenceAuto-check passed

Install Human Checkpoint

skills CLI
$ npx skills add WILLOSCAR/research-units-pipeline-skills --skill human-checkpoint -a claude-code

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

GitHub CLI
$ gh skill install WILLOSCAR/research-units-pipeline-skills human-checkpoint --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/human-checkpoint .claude/skills/human-checkpoint && 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
human-checkpoint
GitHub stars
513
Token cost
~791 tokens
SKILL.md length
378 words
Files
2 (incl. scripts)
Skills in repo
107
Repo updated
First seen
Licence
None found

At a glance

Review and record one pending human checkpoint in a research Workspace; use when a HUMAN Unit is blocked on an Approve C decision, and never treat silence or artifact existence as approval.

  • Works in 4 steps: Identify the pending checkpoint → Review the declared Artifacts → Record approval through the adapter → …
  • A HUMAN Unit is blocked on an Approve C decision
  • SKILL.md covers Inputs, Outputs, Steps and Context Pointers, plus 1 more section
  • Runs Python scripts from its folder; calls uv

What it does

Human Checkpoint is an agent skill from WILLOSCAR/research-units-pipeline-skills. Review and record one pending human checkpoint in a research Workspace; use when a HUMAN Unit is blocked on an Approve C decision, and never treat silence or artifact existence as approval.

Its SKILL.md is about 790 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

  • A HUMAN Unit is blocked on an Approve C decision
  • Never treat silence
  • Artifact existence as approval

Example prompts

  • “/human-checkpoint”

Requirements

  • Python 3

Workflow steps

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

  1. Identify the pending checkpoint
  2. Review the declared Artifacts
  3. Record approval through the adapter
  4. Hand execution back to the Runner

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

Human Checkpoint loads about 791 tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 378 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~791

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 378 words (~791 tokens).

“A checkpoint is consent, not a formatting step. It binds a named human Decision to the exact Artifacts and constraints reviewed before execution may continue.”

— opening of SKILL.md by WILLOSCAR
name
human-checkpoint

Read the full SKILL.md on GitHub

Files

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

  • SKILL.md
  • scripts/run.py

Open the folder on GitHubat commit c92912a

Compare with similar skills

Human Checkpoint 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.

Human Checkpoint compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Human Checkpoint this skillWILLOSCAR/research-units-pipeline-skills513—~791Automated safety check: PassNone
Recordingcodewhale-hq/Codewhale41k—~540Automated safety check: PassMIT
Architecture Decision Recordsaffaan-m/ECC275k4 repos~1.8kAutomated safety check: PassMIT
Architecture Decision Recordsaffaan-m/ECC275k1 repos~863Automated safety check: PassMIT
Architecture Decision Recordsaffaan-m/ECC275k—~1.1kAutomated safety check: PassMIT
Browser Recordruvnet/ruflo74k—~735Automated safety check: NotesMIT

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Questions about Human Checkpoint

What does Human Checkpoint do?

Review and record one pending human checkpoint in a research Workspace; use when a HUMAN Unit is blocked on an Approve C decision, and never treat silence or artifact existence as approval. Human Checkpoint is an agent skill from WILLOSCAR/research-units-pipeline-skills. Review and record one pending human checkpoint in a research Workspace; use when a HUMAN Unit is blocked on an Approve C decision, and never treat silence or artifact existence as approval.

When should I use Human Checkpoint?

Human Checkpoint fits situations like: A HUMAN Unit is blocked on an Approve C decision; never treat silence; artifact existence as approval.

How do I install Human Checkpoint in Claude Code?

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

How do I install Human Checkpoint in Codex?

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

Can I use Human Checkpoint 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 human-checkpoint -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/human-checkpoint, .gemini/skills/human-checkpoint, .github/skills/human-checkpoint and .opencode/skills/human-checkpoint in your project.

What does Human Checkpoint need to run?

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

Does Human Checkpoint 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 Human Checkpoint 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 Human Checkpoint use?

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

How many tokens does Human Checkpoint use?

About 791 tokens (SKILL.md is roughly 3.2k 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 Human Checkpoint?

Skills that share tags, products or a category with Human Checkpoint: Recording (codewhale-hq/Codewhale, 41k stars), Architecture Decision Records (affaan-m/ECC, 275k stars), Architecture Decision Records (affaan-m/ECC, 275k stars) and Architecture Decision Records (affaan-m/ECC, 275k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Human Checkpoint?

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.