Ddd Aggregate
ruvnet/ruflo
Scaffold an aggregate root with entity, value objects, repository interface, domain events, and test stubs.
Synthesize insights from multiple independent assessment results into a concise, actionable summary.
Apache-2.0Auto-check passed
Install Insight Aggregator
$ npx skills add openJiuwen-ai/sciencediscovery --skill insight-aggregator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install openJiuwen-ai/sciencediscovery insight-aggregator --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/openJiuwen-ai/sciencediscovery.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/insight-aggregator .claude/skills/insight-aggregator && 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 "insight-aggregator" agent skill from https://github.com/openJiuwen-ai/sciencediscovery/tree/main/skills/insight-aggregator into .claude/skills/insight-aggregator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "insight-aggregator", 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/openJiuwen-ai/sciencediscovery/tree/main/skills/insight-aggregatorType 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 openJiuwen-ai/sciencediscovery --skill insight-aggregator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install openJiuwen-ai/sciencediscovery insight-aggregator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openJiuwen-ai/sciencediscovery.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/insight-aggregator .agents/skills/insight-aggregator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "insight-aggregator" agent skill from https://github.com/openJiuwen-ai/sciencediscovery/tree/main/skills/insight-aggregator into .agents/skills/insight-aggregator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "insight-aggregator", 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 openJiuwen-ai/sciencediscovery --skill insight-aggregator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install openJiuwen-ai/sciencediscovery insight-aggregator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openJiuwen-ai/sciencediscovery.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/insight-aggregator .cursor/skills/insight-aggregator && 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 "insight-aggregator" agent skill from https://github.com/openJiuwen-ai/sciencediscovery/tree/main/skills/insight-aggregator into .cursor/skills/insight-aggregator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "insight-aggregator", 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/openJiuwen-ai/sciencediscovery.git --path skills/insight-aggregator--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 openJiuwen-ai/sciencediscovery --skill insight-aggregator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install openJiuwen-ai/sciencediscovery insight-aggregator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openJiuwen-ai/sciencediscovery.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/insight-aggregator .gemini/skills/insight-aggregator && 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 "insight-aggregator" agent skill from https://github.com/openJiuwen-ai/sciencediscovery/tree/main/skills/insight-aggregator into .gemini/skills/insight-aggregator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "insight-aggregator", 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 openJiuwen-ai/sciencediscovery insight-aggregatorInstalls 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 openJiuwen-ai/sciencediscovery --skill insight-aggregator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/openJiuwen-ai/sciencediscovery.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/insight-aggregator .github/skills/insight-aggregator && 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 "insight-aggregator" agent skill from https://github.com/openJiuwen-ai/sciencediscovery/tree/main/skills/insight-aggregator into .github/skills/insight-aggregator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "insight-aggregator", 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 openJiuwen-ai/sciencediscovery --skill insight-aggregator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install openJiuwen-ai/sciencediscovery insight-aggregator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openJiuwen-ai/sciencediscovery.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/insight-aggregator .opencode/skills/insight-aggregator && 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 "insight-aggregator" agent skill from https://github.com/openJiuwen-ai/sciencediscovery/tree/main/skills/insight-aggregator into .opencode/skills/insight-aggregator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "insight-aggregator", 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
insight-aggregator- GitHub stars
- 159
- Token cost
- ~1.4k tokens
- SKILL.md length
- 482 words
- Files
- 2 (incl. references)
- Skills in repo
- 23
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Synthesize insights from multiple independent assessment results into a concise, actionable summary.
- Works in 4 steps: Gather → Cross-Validate → Synthesize → …
- SKILL.md covers Role in the Workflow, When to Use, Do NOT Use For and Insight Synthesis Method, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Insight Aggregator is an agent skill from openJiuwen-ai/sciencediscovery. Synthesize insights from multiple independent assessment results into a concise, actionable summary. Cross-validates expert scores, identifies patterns and discrepancies, and produces a semantic insight that propagates upward through the Idea Tree. Does NOT calculate or override scores.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/cross-validation-guide.md`).
The repository describes itself as: ScienceDiscovery is an all‑in‑one agentic workbench built specifically for scientific research. The licence is Apache-2.0.
Example prompts
- “/insight-aggregator”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit ab1403f. 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 json).
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
Insight Aggregator loads about 1.4k tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 77 tokens; SKILL.md has 482 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 openJiuwen-ai/sciencediscovery at commit ab1403f, republished under its Apache-2.0 licence (© openJiuwen-ai). 482 words, ~1,367 tokens.
Download SKILL.mdSave it as
.claude/skills/insight-aggregator/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- insight-aggregator
- description
- Synthesize insights from multiple independent assessment results into a concise, actionable summary. Cross-validates expert scores, identifies patterns and discrepancies, and produces a semantic insight that propagates upward through the Idea Tree. Does NOT calculate or override scores.
Insight Aggregator
Synthesize insights from multiple independent assessment artifacts into a coherent, concise summary. The aggregator is the bridge between per-leaf scoring and tree-wide insight propagation.
Role in the Workflow
Dispatched by the Lead agent during leaf execution (Step 4.3 of the Idea Tree workflow), after all independent assessors have checkpointed their results:
Lead agent
├── dispatches: assessment-screener (agent-a) → scores + pros/cons
├── dispatches: assessment-screener (agent-b) → scores + pros/cons
├── dispatches: assessment-screener (agent-c) → scores + pros/cons
└── dispatches: insight-aggregator → synthesize insight
│
▼
tree_update_node
(propagate upward)When to Use
- All independent assessors have checkpointed their assessment artifacts for a candidate.
- The Lead needs to synthesize the assessments into an insight for tree propagation.
Do NOT Use For
- Scoring or evaluating candidates directly (that is
assessment-screening's job). - Generating material designs (that is
creative-material-design's job). - Calculating weighted scores (the server computes the deterministic score).
- Overriding or modifying assessor scores.
Insight Synthesis Method
The aggregator follows a bottom-up synthesis approach inspired by the Arbor insight propagation model:
Phase 1: Gather
Collect all checkpointed assessment artifacts. Each artifact contains:
- Independent per-dimension scores (1-10)
- Pros and cons from the expert's perspective
- Structure verification ratings
- Verification notes
Phase 2: Cross-Validate
- Score consistency — Compute per-dimension standard deviation across experts. Flag dimensions where disagreement exceeds 2.0 points.
- Convergence analysis — Identify dimensions where all experts agree (low variance) vs. dimensions with significant divergence.
- Strength/weakness synthesis — Aggregate pros and cons across experts. Weight cons that appear in multiple assessments more heavily.
Phase 3: Synthesize
Produce a concise insight (1-3 sentences) that captures:
- The key learning from this candidate
- Patterns or contradictions across expert evaluations
- Actionable conclusions for tree propagation
The insight must be semantic — it explains the "why" behind available evidence and scores, not just the numbers. If the prompt requests a score synthesis, state the calculation or judgment clearly so the Lead can pass it to idea_tree_finalize.
Show full SKILL.md (204 more words)Show less
Phase 4: Propagate-Ready Output
Format the output for tree_update_node propagation. The insight will flow upward through the tree:
- At leaf level: direct experimental finding
- At parent level: synthesized pattern across children
- At root level: global research insight
Critical Rules
- Follow the selected scoring method — Calculate or recommend a score only when the prompt/workflow asks for it; do not assume the old fixed triad weighting.
- No fabrication — Do not invent scores, data, or findings not present in the assessment artifacts.
- Preserve contradictions — If experts disagree, surface the disagreement verbatim. Do not resolve it silently.
- Concise insight — The insight field must be 1-3 sentences. It should be specific enough to guide future ideation but concise enough to propagate efficiently.
- Semantic only — The aggregator explains meaning and patterns, not arithmetic.
Output Format
{
"snapshot_hash": "<candidate snapshot_hash>",
"candidate_version_id": "<exact checkpointed version>",
"assessment_version_ids": {
"activity": "<version-activity>",
"stability": "<version-stability>",
"sustainability": "<version-sustainability>"
},
"insight": "1-3 sentence key learning synthesizing all expert evaluations",
"cross_validation": {
"overall_scores": {
"activity": <1-10>,
"stability": <1-10>,
"sustainability": <1-10>
},
"weighted_score": <0.35×activity + 0.35×stability + 0.30×sustainability>,
"consensus_areas": ["areas where experts agree"],
"divergence_areas": ["areas with significant disagreement"],
"discrepancies": "description of any significant disagreements between experts"
},
"synthesized_recommendations": ["aggregated suggestions from all experts"]
}Methodology
MUST read references/cross-validation-guide.md in full before synthesizing.
- Gather artifacts — Read all checkpointed assessment artifacts for the current leaf execution.
- Cross-validate — Compare scores across experts, identify convergence and divergence.
- Synthesize insight — Produce a 1-3 sentence insight that captures the key learning.
- Aggregate feedback — Merge pros/cons across experts, weighting by frequency.
- Produce output — Return the JSON structure above with exact version IDs from the checkpointed artifacts.
© openJiuwen-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
SKILL.md and 1 other file (references) in skills/insight-aggregator of openJiuwen-ai/sciencediscovery.
- SKILL.md
- references/cross-validation-guide.md
Open the folder on GitHubat commit ab1403f
Compare with similar skills
Insight Aggregator 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 |
|---|---|---|---|---|---|---|
| Insight Aggregator this skillopenJiuwen-ai/sciencediscovery | 159 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Ddd Aggregateruvnet/ruflo | 74k | — | ~774 | Automated safety check: Notes | MIT | |
| Research Synthesizeruvnet/ruflo | 74k | — | ~706 | Automated safety check: Notes | MIT | |
| Formatting Insight AxesPostHog/posthog | 40k | — | ~2.1k | Automated safety check: Pass | Custom licence | |
| Insight Error Pagevercel/next.js | 143k | — | ~5.5k | Automated safety check: Pass | MIT | |
| Acreadiness Assessgithub/awesome-copilot | 40k | 1 repos | ~839 | Automated safety check: Pass | MIT |
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Questions about Insight Aggregator
What does Insight Aggregator do?
Synthesize insights from multiple independent assessment results into a concise, actionable summary. Insight Aggregator is an agent skill from openJiuwen-ai/sciencediscovery. Synthesize insights from multiple independent assessment results into a concise, actionable summary.
How do I install Insight Aggregator in Claude Code?
Run `npx skills add openJiuwen-ai/sciencediscovery --skill insight-aggregator -a claude-code`. Or copy the skill folder (skills/insight-aggregator in openJiuwen-ai/sciencediscovery) into .claude/skills/insight-aggregator in your project. Claude Code loads it when a task matches its description.
How do I install Insight Aggregator in Codex?
Run `npx skills add openJiuwen-ai/sciencediscovery --skill insight-aggregator -a codex`. Or copy the skill folder (skills/insight-aggregator in openJiuwen-ai/sciencediscovery) into .agents/skills/insight-aggregator in your project. Codex loads it when a task matches its description.
Can I use Insight Aggregator 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 openJiuwen-ai/sciencediscovery --skill insight-aggregator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/insight-aggregator, .gemini/skills/insight-aggregator, .github/skills/insight-aggregator and .opencode/skills/insight-aggregator in your project.
What does Insight Aggregator need to run?
SKILL.md names no scripts, command-line tools or credentials: Insight Aggregator is instructions for the agent only.
Does Insight Aggregator 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 Insight Aggregator 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 Insight Aggregator use?
Insight Aggregator 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 Insight Aggregator use?
About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.1k tokens, read only when the agent opens those files.
What are the alternatives to Insight Aggregator?
Skills that share tags, products or a category with Insight Aggregator: Ddd Aggregate (ruvnet/ruflo, 74k stars), Research Synthesize (ruvnet/ruflo, 74k stars), Formatting Insight Axes (PostHog/posthog, 40k stars) and Insight Error Page (vercel/next.js, 143k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Insight Aggregator?
openJiuwen-ai (a GitHub organization) maintains it in openJiuwen-ai/sciencediscovery, which has 159 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 10, 2026.
Source: openJiuwen-ai/sciencediscovery on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.