Agent skill

Adjust Abstraction Scope

by yogsoth-ai in yogsoth-ai/de-anthropocentric-research-engine

Move a scientific object up/down in abstraction or narrow/broaden selected scope dimensions (population, mechanism, context, outcome, timeframe, system boundary) until the representation has useful…

Apache-2.0Auto-check passed

Install Adjust Abstraction Scope

skills CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill adjust-abstraction-scope -a claude-code

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

GitHub CLI
$ gh skill install yogsoth-ai/de-anthropocentric-research-engine adjust-abstraction-scope --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/yogsoth-ai/de-anthropocentric-research-engine.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/adjust-abstraction-scope .claude/skills/adjust-abstraction-scope && 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
adjust-abstraction-scope
GitHub stars
505
Token cost
~584 tokens
SKILL.md length
200 words
Files
1
Skills in repo
12
Repo updated
First seen
Licence
Apache-2.0

At a glance

Move a scientific object up/down in abstraction or narrow/broaden selected scope dimensions (population, mechanism, context, outcome, timeframe, system boundary) until the representation has useful…

  • Works in 4 steps: Record object, current level, and scope… → Generate at least one upward and one… → For each candidate, state what is… → …
  • SKILL.md covers Purpose, Input contract, Procedure and Output contract, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Adjust Abstraction Scope is an agent skill from yogsoth-ai/de-anthropocentric-research-engine. Move a scientific object up/down in abstraction or narrow/broaden selected scope dimensions (population, mechanism, context, outcome, timeframe, system boundary) until the representation has useful explanatory and experimental leverage.

Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: A 267-skill research graph in pure markdown — 51 research operations built from 216 single-purpose steps, composed in any order with explicit backtracking. One npx install, no… The licence is Apache-2.0.

Example prompts

  • “/adjust-abstraction-scope”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Record object, current level, and scope dimensions (population, mechanism, context, outcome, timeframe, boundary).
  2. Generate at least one upward and one downward abstraction candidate when leverage is unclear.
  3. For each candidate, state what is gained, lost, and newly testable.
  4. Select the narrowest or broadest level that supports the caller's stated use and record rationale.

What it can do on your machine

Read from SKILL.md and the folder at commit bdb3524. 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 yaml).

    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

Adjust Abstraction Scope loads about 584 tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 200 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~584

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 yogsoth-ai/de-anthropocentric-research-engine at commit bdb3524, republished under its Apache-2.0 licence (© yogsoth-ai). 200 words, ~584 tokens.

Download SKILL.mdSave it as .claude/skills/adjust-abstraction-scope/SKILL.md (or your agent's skills folder).
name
adjust-abstraction-scope
description
Move a scientific object up/down in abstraction or narrow/broaden selected scope dimensions (population, mechanism, context, outcome, timeframe, system boundary) until the representation has useful explanatory and experimental leverage.

adjust-abstraction-scope

Purpose

Move a scientific object up or down in abstraction, or narrow/broaden scope dimensions, until explanatory and experimental leverage improve.

Input contract

yaml
required: [research_object, current_scope, leverage_failure]
optional: [candidate_levels, context_constraints, target_use]
constraints: [retain object identity; change representation or declared scope explicitly]

Procedure

  1. Record object, current level, and scope dimensions (population, mechanism, context, outcome, timeframe, boundary).
  2. Generate at least one upward and one downward abstraction candidate when leverage is unclear.
  3. For each candidate, state what is gained, lost, and newly testable.
  4. Select the narrowest or broadest level that supports the caller's stated use and record rationale.

Output contract

yaml
produces: [scoped_representations, selected_scope, leverage_rationale]
delta_fields: [findings, decisions, uncertainties]

Quality gates

  • Object identity is invariant across representations.
  • Every changed dimension is named with before/after values.
  • Selected scope has an explicit explanatory or experimental leverage claim.

Parameterization

Caller supplies object schema, allowed abstraction dimensions, admissible scope bounds, target use, and selection rule.

Failure and counterexamples

Reject a level that changes the object while appearing to change only scope; reject scope changes with no stated leverage test.

Provenance map

  • resolved: abstraction-laddering
  • resolved: scope-assessment
  • resolved: question-reformulation
  • resolved: scope-calibration
  • intermediate: Pass8/shift-abstraction-level
  • intermediate: Pass8/adjust-question-scope

Preserved source criteria ledger

sourcecriterion
scope-assessmentInput must contain at least 1 fully stated research question.
scope-assessmentToo broad requires a book/multiple papers; appropriate is answerable by one paper; too narrow is self-evident or lacks contribution.

© yogsoth-ai, Apache-2.0. 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/adjust-abstraction-scope of yogsoth-ai/de-anthropocentric-research-engine.

Open the folder on GitHubat commit bdb3524

Compare with similar skills

Adjust Abstraction Scope 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.

Adjust Abstraction Scope compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Adjust Abstraction Scope this skillyogsoth-ai/de-anthropocentric-research-engine505—~584Automated safety check: PassApache-2.0
Abstractbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~495Automated safety check: NotesCustom licence
Scientific VisualizationK-Dense-AI/scientific-agent-skills48k1 repos~3.9kAutomated safety check: NotesMIT
Object Altthedaviddias/Front-End-Checklist74k—~429Automated safety check: PassMIT
Scientific SchematicsK-Dense-AI/scientific-agent-skills48k1 repos~5.1kAutomated safety check: NotesMIT
Scientific SlidesK-Dense-AI/scientific-agent-skills48k1 repos~5.4kAutomated safety check: NotesMIT

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Questions about Adjust Abstraction Scope

What does Adjust Abstraction Scope do?

Move a scientific object up/down in abstraction or narrow/broaden selected scope dimensions (population, mechanism, context, outcome, timeframe, system boundary) until the representation has useful…. Adjust Abstraction Scope is an agent skill from yogsoth-ai/de-anthropocentric-research-engine. Move a scientific object up/down in abstraction or narrow/broaden selected scope dimensions (population, mechanism, context, outcome, timeframe, system boundary) until the representation has useful explanatory and experimental leverage.

How do I install Adjust Abstraction Scope in Claude Code?

Run `npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill adjust-abstraction-scope -a claude-code`. Or copy the skill folder (skills/adjust-abstraction-scope in yogsoth-ai/de-anthropocentric-research-engine) into .claude/skills/adjust-abstraction-scope in your project. Claude Code loads it when a task matches its description.

How do I install Adjust Abstraction Scope in Codex?

Run `npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill adjust-abstraction-scope -a codex`. Or copy the skill folder (skills/adjust-abstraction-scope in yogsoth-ai/de-anthropocentric-research-engine) into .agents/skills/adjust-abstraction-scope in your project. Codex loads it when a task matches its description.

Can I use Adjust Abstraction Scope 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 yogsoth-ai/de-anthropocentric-research-engine --skill adjust-abstraction-scope -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/adjust-abstraction-scope, .gemini/skills/adjust-abstraction-scope, .github/skills/adjust-abstraction-scope and .opencode/skills/adjust-abstraction-scope in your project.

What does Adjust Abstraction Scope need to run?

SKILL.md names no scripts, command-line tools or credentials: Adjust Abstraction Scope is instructions for the agent only.

Does Adjust Abstraction Scope 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 Adjust Abstraction Scope 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 Adjust Abstraction Scope use?

Adjust Abstraction Scope is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Adjust Abstraction Scope use?

About 584 tokens (SKILL.md is roughly 2.3k 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 Adjust Abstraction Scope?

Skills that share tags, products or a category with Adjust Abstraction Scope: Abstract (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars), Scientific Visualization (K-Dense-AI/scientific-agent-skills, 48k stars), Object Alt (thedaviddias/Front-End-Checklist, 74k stars) and Scientific Schematics (K-Dense-AI/scientific-agent-skills, 48k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Adjust Abstraction Scope?

yogsoth-ai (a GitHub organization) maintains it in yogsoth-ai/de-anthropocentric-research-engine, which has 505 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on September 29, 2026.

Source: yogsoth-ai/de-anthropocentric-research-engine on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.