Ddd Aggregate
ruvnet/ruflo
Scaffold an aggregate root with entity, value objects, repository interface, domain events, and test stubs.
Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
Apache-2.0Auto-check passed
Install Aggregate Ranking
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill aggregate-ranking -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install yogsoth-ai/de-anthropocentric-research-engine aggregate-ranking --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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/aggregate-ranking .claude/skills/aggregate-ranking && rm -rf skills-srcUse ~/.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/
Install the "aggregate-ranking" agent skill from https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/aggregate-ranking into .claude/skills/aggregate-ranking/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aggregate-ranking", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/aggregate-rankingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill aggregate-ranking -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install yogsoth-ai/de-anthropocentric-research-engine aggregate-ranking --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/aggregate-ranking .agents/skills/aggregate-ranking && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aggregate-ranking" agent skill from https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/aggregate-ranking into .agents/skills/aggregate-ranking/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aggregate-ranking", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill aggregate-ranking -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install yogsoth-ai/de-anthropocentric-research-engine aggregate-ranking --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/aggregate-ranking .cursor/skills/aggregate-ranking && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "aggregate-ranking" agent skill from https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/aggregate-ranking into .cursor/skills/aggregate-ranking/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aggregate-ranking", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/yogsoth-ai/de-anthropocentric-research-engine.git --path skills/aggregate-ranking--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill aggregate-ranking -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install yogsoth-ai/de-anthropocentric-research-engine aggregate-ranking --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/aggregate-ranking .gemini/skills/aggregate-ranking && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "aggregate-ranking" agent skill from https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/aggregate-ranking into .gemini/skills/aggregate-ranking/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aggregate-ranking", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install yogsoth-ai/de-anthropocentric-research-engine aggregate-rankingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill aggregate-ranking -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/aggregate-ranking .github/skills/aggregate-ranking && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "aggregate-ranking" agent skill from https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/aggregate-ranking into .github/skills/aggregate-ranking/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aggregate-ranking", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill aggregate-ranking -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install yogsoth-ai/de-anthropocentric-research-engine aggregate-ranking --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/aggregate-ranking .opencode/skills/aggregate-ranking && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "aggregate-ranking" agent skill from https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/aggregate-ranking into .opencode/skills/aggregate-ranking/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aggregate-ranking", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
aggregate-ranking- GitHub stars
- 504
- Token cost
- ~561 tokens
- SKILL.md length
- 191 words
- Files
- 1
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
- Works in 4 steps: Align candidate identifiers, criterion… → Apply the supplied aggregation rule… → Propagate missingness and uncertainty;… → …
- 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
Aggregate Ranking is an agent skill from yogsoth-ai/de-anthropocentric-research-engine. Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
Its SKILL.md is about 560 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
- “/aggregate-ranking”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Align candidate identifiers, criterion directions, units, and validity flags.
- Apply the supplied aggregation rule without changing weights or directions.
- Propagate missingness and uncertainty; apply the declared tie-break only after aggregation.
- Return ordered candidates with component contributions and recommendation status.
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
Aggregate Ranking loads about 561 tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 191 words of instructions outside code blocks.
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). 191 words, ~561 tokens.
Download SKILL.mdSave it as
.claude/skills/aggregate-ranking/SKILL.md (or your agent's skills folder).- name
- aggregate-ranking
- description
- Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
aggregate-ranking
Purpose
Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
Input contract
required: [candidate_set, criterion_results, aggregation_rule]
optional: [tie_break_rule, missing_value_policy, uncertainty_annotations]
constraints: [criterion directions and scales must be declared; no silent imputation]Procedure
- Align candidate identifiers, criterion directions, units, and validity flags.
- Apply the supplied aggregation rule without changing weights or directions.
- Propagate missingness and uncertainty; apply the declared tie-break only after aggregation.
- Return ordered candidates with component contributions and recommendation status.
Output contract
produces: [ordered_recommendation, aggregate_scores, contribution_table, unresolved_comparisons]
delta_fields: [findings, evidence_updates, decisions, uncertainties]Quality gates
- Every ranked candidate has a traceable value for each required criterion or an explicit unresolved marker.
- Aggregation reproduces the supplied rule and preserves criterion direction.
- Ties and sensitivity to tie-breaks are reported.
Parameterization
Caller supplies candidate schema, criterion scales/directions, weights or aggregation formula, tie-break rule, and missing/uncertainty policy.
Failure and counterexamples
Reject mixed units without normalization; reject a recommendation when a hard criterion is unresolved.
Provenance map
- resolved: priority-synthesis
- resolved: scoring-synthesis
Preserved source criteria ledger
| source | criterion |
|---|---|
| priority-synthesis | All scoring dimensions are present for every gap. |
| priority-synthesis | Weight vector sums to 1.0 within +/-0.001. |
| priority-synthesis | Priority list is sorted descending; ties use feasibility sub-score. |
| priority-synthesis | Top N is N=min(3,total gaps) and includes attack-path suggestions. |
| scoring-synthesis | Final recommendation includes recommended alternative, confidence, key assumptions, and risk warnings. |
© 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/aggregate-ranking of yogsoth-ai/de-anthropocentric-research-engine.
Open the folder on GitHubat commit bdb3524
Compare with similar skills
Aggregate Ranking 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Aggregate Ranking this skillyogsoth-ai/de-anthropocentric-research-engine | 504 | — | ~561 | Automated safety check: Pass | Apache-2.0 | |
| Ddd Aggregateruvnet/ruflo | 74k | — | ~774 | Automated safety check: Notes | MIT | |
| CSS Orderthedaviddias/Front-End-Checklist | 74k | — | ~404 | Automated safety check: Pass | MIT | |
| Focus Orderthedaviddias/Front-End-Checklist | 74k | — | ~519 | Automated safety check: Pass | MIT | |
| Heading Orderthedaviddias/Front-End-Checklist | 74k | — | ~452 | Automated safety check: Pass | MIT | |
| Food Orderingasgeirtj/system_prompts_leaks | 69k | — | ~1.4k | Automated safety check: Pass | CC0-1.0 |
Similar skills
CSS Order
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing stylesheets, component styles, and responsive behavior related to Order CSS files correctly.
Focus Order
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing rendered HTML, interactive components, or design-system patterns related to Ensure logical focus order.
Heading Order
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing rendered HTML, interactive components, or design-system patterns related to Maintain logical heading order.
Food Ordering
asgeirtj/system_prompts_leaks
Prepare restaurant food orders for delivery or pickup; use for cart, checkout and tracking.
Content Topic Recommender
XBuilderLAB/cheat-on-content
Ranks a pool of content topic candidates by composite score and recommends the top picks, each with a score breakdown, anchor comparison and a one-line reason.
More from yogsoth-ai/de-anthropocentric-research-engine
All 12 skills in this repoEvaluate Scenario Impact
yogsoth-ai/de-anthropocentric-research-engine
Evaluate a fixed candidate, research path, or portfolio under one explicit scenario using stable criteria and return impact, tradeoffs, and failure triggers.
Evaluate Scenario Robustness
yogsoth-ai/de-anthropocentric-research-engine
Aggregate a candidate, strategy, or portfolio across explicit scenarios under a declared robust-decision rule such as worst-case score, minimax regret, maximin, threshold survival, or pivot-trigger…
Evaluate Optionality
yogsoth-ai/de-anthropocentric-research-engine
Evaluate the value of staging, deferral, reversible commitment, and information-gathering options under uncertainty; return decision-relevant option value and trigger conditions.
Adjust Abstraction Scope
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…
Adversarial Deliberation
yogsoth-ai/de-anthropocentric-research-engine
Run structured attack/defense/adjudication over a claim, candidate, criterion set, or current winner.
Analogical Discovery
yogsoth-ai/de-anthropocentric-research-engine
Abstract relational structure from source domains, map it to the target, validate depth, and instantiate transferable mechanisms.
Questions about Aggregate Ranking
What does Aggregate Ranking do?
Aggregate criterion or comparison results into an ordered recommendation under an explicit rule. Aggregate Ranking is an agent skill from yogsoth-ai/de-anthropocentric-research-engine. Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
How do I install Aggregate Ranking in Claude Code?
Run `npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill aggregate-ranking -a claude-code`. Or copy the skill folder (skills/aggregate-ranking in yogsoth-ai/de-anthropocentric-research-engine) into .claude/skills/aggregate-ranking in your project. Claude Code loads it when a task matches its description.
How do I install Aggregate Ranking in Codex?
Run `npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill aggregate-ranking -a codex`. Or copy the skill folder (skills/aggregate-ranking in yogsoth-ai/de-anthropocentric-research-engine) into .agents/skills/aggregate-ranking in your project. Codex loads it when a task matches its description.
Can I use Aggregate Ranking 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 aggregate-ranking -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aggregate-ranking, .gemini/skills/aggregate-ranking, .github/skills/aggregate-ranking and .opencode/skills/aggregate-ranking in your project.
What does Aggregate Ranking need to run?
SKILL.md names no scripts, command-line tools or credentials: Aggregate Ranking is instructions for the agent only.
Does Aggregate Ranking 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 Aggregate Ranking 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 Aggregate Ranking use?
Aggregate Ranking 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 Aggregate Ranking use?
About 561 tokens (SKILL.md is roughly 2.2k 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 Aggregate Ranking?
Skills that share tags, products or a category with Aggregate Ranking: Ddd Aggregate (ruvnet/ruflo, 74k stars), CSS Order (thedaviddias/Front-End-Checklist, 74k stars), Focus Order (thedaviddias/Front-End-Checklist, 74k stars) and Heading Order (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Aggregate Ranking?
yogsoth-ai (a GitHub organization) maintains it in yogsoth-ai/de-anthropocentric-research-engine, which has 504 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.