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Agent skill

Factory Human Digest

by BuilderIO in BuilderIO/skills

Experimental workflow for summarizing work that still needs human judgment across configured pull requests, issues, feedback, errors, and delivery signals.

MITAuto-check passedDevelopment

Install Factory Human Digest

skills CLI
$ npx skills add BuilderIO/skills --skill factory-human-digest -a claude-code

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

GitHub CLI
$ gh skill install BuilderIO/skills factory-human-digest --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/BuilderIO/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/factory-human-digest .claude/skills/factory-human-digest && 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
factory-human-digest
GitHub stars
4.5k
Token cost
~979 tokens
SKILL.md length
526 words
Files
1
Skills in repo
25
Repo updated
First seen
Licence
MIT

At a glance

Experimental workflow for summarizing work that still needs human judgment across configured pull requests, issues, feedback, errors, and delivery signals.

  • A human decision queue
  • SKILL.md covers Choose the scope, Find items that need a person, Group patterns and preserve… and Report; do not take the actions
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Pull requests

What it does

Factory Human Digest is an agent skill from BuilderIO/skills. Experimental workflow for summarizing work that still needs human judgment across configured pull requests, issues, feedback, errors, and delivery signals. Use for a human decision queue or bounded review.

Its SKILL.md is about 980 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Pull requests. The licence is MIT.

When your agent uses it

  • A human decision queue
  • Tasks that involve Pull requests

Example prompts

  • “/factory-human-digest”

What it can do on your machine

Read from SKILL.md and the folder at commit da158ca. 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.

    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

Factory Human Digest loads about 979 tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 526 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
When it runs · the whole SKILL.md, loaded when a task matches
~979

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

The full file from BuilderIO/skills at commit da158ca, republished under its MIT licence (© BuilderIO). 526 words, ~979 tokens.

Download SKILL.mdSave it as .claude/skills/factory-human-digest/SKILL.md (or your agent's skills folder).
name
factory-human-digest
description
Experimental workflow for summarizing work that still needs human judgment across configured pull requests, issues, feedback, errors, and delivery signals. Use for a human decision queue or bounded review.
installer-group
factory

Factory Human Digest

Start with the Factory guide for workflow setup and configuration.

Read .agent-factory/config.yaml and apply the optional skill_prompts.factory-human-digest entry as additional project guidance. Inspect only the repositories and sources it authorizes.

Choose the scope

For a manual run with no narrower request or workflow settings, include all configured source categories, use the last 7 days, and report at balanced granularity. A user can narrow or expand the request in ordinary language, for example, “PRs only, last 30 days, detailed” or “everything from this week, brief.” Use configured repository and source boundaries even when the requested time window or category changes. For scheduled runs, use workflows.human-digest from the config.

Categories can include pull requests, issues, feedback, errors, telemetry, and stalled or failed delivery work. A category filter selects records to inspect; it does not expand access to another project or integration.

Find items that need a person

Read configured sources and repositories completely for the selected window. Follow pagination and record the actual dates, filters, counts, and any source that was unavailable or truncated. Include items held outside the normal agent-handled flows, such as:

  • pull requests waiting for human review, approval, a merge decision, or product judgment;
  • issues, feedback, or errors held for missing context, unclear intent, risk, conflicting evidence, or a decision outside the configured automation rules;
  • new answers to information requests that have not yet been re-triaged;
  • recurring incidents, UX concerns, or delivery work that stopped without a verified resolution or safe authorized next step.

Exclude work that has a verified terminal outcome unless it reopened, recurred, or received new information during the window. A label or agent summary alone does not prove an item is resolved. If the source cannot distinguish pending from resolved, report that uncertainty instead of guessing.

Show full SKILL.md (232 more words)Show less

Group patterns and preserve evidence

Group related items by the underlying user impact or failure pattern, not by similar words alone. For each group, preserve the date range, count of distinct records, source links, representative evidence, and the human decision needed. Separate event volume from affected people or sessions unless the source has a reliable identity definition. Keep unrelated reports separate even when one summary would be shorter.

Use the configured granularity, or balanced by default:

  • Brief: top groups, why each needs a person, and links to the source items.
  • Balanced: grouped summaries, representative evidence, and a linked list of each item needing a decision.
  • Detailed: one entry per item with relevant context, prior handling, evidence, and the exact decision or next step.

Report; do not take the actions

Start with coverage: window, categories, repositories, sources, filters, and pagination status. Then report recurring themes and the decision queue. For each entry include links, why the normal flow did not handle it, prior replies or dispositions, the decision required, and an owner or due date only when the source provides one.

This workflow is read-only. Do not reply, approve, merge, assign, close, change status, or notify people from the digest. Route any requested action through its owning Factory workflow and its separate configured policy. Missing or partial source data must remain visible in the report; it is never evidence of an empty queue.

© BuilderIO, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/factory-human-digest of BuilderIO/skills.

Open the folder on GitHubat commit da158ca

Compare with similar skills

Factory Human Digest 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.

Factory Human Digest compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Factory Human Digest this skillBuilderIO/skills4.5k—~979Automated safety check: PassMIT
Finishing a Development Branchobra/superpowers296k5 repos~1.9kAutomated safety check: PassMIT
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Check PRonyx-dot-app/onyx32k2 repos~2.3kAutomated safety check: PassMIT
Understand Diff AnalysisEgonex-AI/Understand-Anything86k1 repos~1.4kAutomated safety check: PassMIT
PR Design DocOpenHands/OpenHands90k—~2.4kAutomated safety check: PassMIT

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Categories

Questions about Factory Human Digest

What does Factory Human Digest do?

Experimental workflow for summarizing work that still needs human judgment across configured pull requests, issues, feedback, errors, and delivery signals. Factory Human Digest is an agent skill from BuilderIO/skills. Experimental workflow for summarizing work that still needs human judgment across configured pull requests, issues, feedback, errors, and delivery signals.

When should I use Factory Human Digest?

Factory Human Digest fits situations like: A human decision queue; tasks that involve Pull requests.

How do I install Factory Human Digest in Claude Code?

Run `npx skills add BuilderIO/skills --skill factory-human-digest -a claude-code`. Or copy the skill folder (skills/factory-human-digest in BuilderIO/skills) into .claude/skills/factory-human-digest in your project. Claude Code loads it when a task matches its description.

How do I install Factory Human Digest in Codex?

Run `npx skills add BuilderIO/skills --skill factory-human-digest -a codex`. Or copy the skill folder (skills/factory-human-digest in BuilderIO/skills) into .agents/skills/factory-human-digest in your project. Codex loads it when a task matches its description.

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

What does Factory Human Digest need to run?

SKILL.md names no scripts, command-line tools or credentials: Factory Human Digest is instructions for the agent only.

Does Factory Human Digest 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 Factory Human Digest 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 Factory Human Digest use?

Factory Human Digest is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Factory Human Digest use?

About 979 tokens (SKILL.md is roughly 3.9k 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 Factory Human Digest?

Skills that share tags, products or a category with Factory Human Digest: Finishing a Development Branch (obra/superpowers, 296k stars), PR Babysitter (openinterpreter/openinterpreter, 69k stars), Check PR (onyx-dot-app/onyx, 32k stars) and Understand Diff Analysis (Egonex-AI/Understand-Anything, 86k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Factory Human Digest?

BuilderIO (a GitHub organization) maintains it in BuilderIO/skills, which has 4,541 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on October 7, 2026.

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