Agent skill

Comparative Synthesis

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Compare and synthesize findings across multiple completed DeepScan reports.

Apache-2.0Auto-check passed

Install Comparative Synthesis

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill comparative-synthesis -a claude-code

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

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins comparative-synthesis --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/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/papersflow-ai/papersflow-codex-plugin/skills/comparative-synthesis .claude/skills/comparative-synthesis && 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
comparative-synthesis
GitHub stars
1.2k
Token cost
~687 tokens
SKILL.md length
346 words
Files
1
Skills in repo
686
Repo updated
First seen
Licence
Apache-2.0

At a glance

Compare and synthesize findings across multiple completed DeepScan reports.

  • Works in 4 steps: Use summarize_evidence to pull… → If the user references specific runs,… → Identify overlapping papers, conflicting… → …
  • The user wants cross-run analysis
  • SKILL.md covers Workflow, Output Style, Tool Guidance and Examples
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Comparative Synthesis is an agent skill from hashgraph-online/awesome-codex-plugins. Compare and synthesize findings across multiple completed DeepScan reports. Use when the user wants cross-run analysis, trend comparison, or a unified summary from several research sessions.

Its SKILL.md is about 690 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 curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.

When your agent uses it

  • The user wants cross-run analysis
  • Trend comparison
  • A unified summary from several research sessions

Example prompts

  • “/comparative-synthesis”

Workflow steps

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

  1. Use summarize_evidence to pull cross-report summaries from the user's DeepScan history.
  2. If the user references specific runs, use get_deepscan_report for each to get full report data.
  3. Identify overlapping papers, conflicting findings, and complementary themes across runs.
  4. Use run_python_plot to visualize comparisons when the data supports it.

What it can do on your machine

Read from SKILL.md and the folder at commit 78497e5. 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

Comparative Synthesis loads about 687 tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 346 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~53
When it runs · the whole SKILL.md, loaded when a task matches
~687

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 hashgraph-online/awesome-codex-plugins at commit 78497e5, republished under its Apache-2.0 licence (© hashgraph-online). 346 words, ~687 tokens.

Download SKILL.mdSave it as .claude/skills/comparative-synthesis/SKILL.md (or your agent's skills folder).
name
comparative-synthesis
description
Compare and synthesize findings across multiple completed DeepScan reports. Use when the user wants cross-run analysis, trend comparison, or a unified summary from several research sessions.

Comparative Synthesis

Use this skill when the user wants to compare, contrast, or synthesize findings across multiple completed DeepScan runs rather than monitor a single active job.

Workflow

  1. Use summarize_evidence to pull cross-report summaries from the user's DeepScan history.
  2. If the user references specific runs, use get_deepscan_report for each to get full report data.
  3. Identify overlapping papers, conflicting findings, and complementary themes across runs.
  4. Use run_python_plot to visualize comparisons when the data supports it.

Output Style

Structure the synthesis around:

  • Common ground — papers, methods, or findings that appear across multiple runs
  • Divergences — where different runs reached different conclusions or surfaced different literature
  • Gaps — topics or questions that no run adequately covered
  • Trends — temporal patterns, emerging methods, or shifting consensus visible across runs

Keep sections short and reference specific papers by title and year.

Tool Guidance

Use summarize_evidence

Call this first. It aggregates across the user's stored DeepScan history and is the fastest way to get a cross-run view.

Use for:

  • "What do my recent DeepScans say about X?"
  • "Summarize everything I've researched on topic Y"
  • "Compare findings across my last three runs"
Use get_deepscan_report

Call for specific runs when the user wants:

  • side-by-side comparison of two named runs
  • detailed data from a particular session that summarize_evidence condensed too aggressively
Use run_python_plot

Use after you have structured data from reports. Good comparison plots include:

  • paper overlap Venn or bar chart across runs
  • citation count distributions side by side
  • publication year histograms per run
  • venue frequency comparison
  • topic/method co-occurrence heatmap

Only plot when there is enough data to be meaningful. Say so if the data is too sparse.

Do NOT use
  • run_deepscan — this skill synthesizes completed runs, not starts new ones
  • search_literature — use the existing DeepScan data, not new searches

Examples

  • User asks: "Compare my DeepScan on transformer efficiency with the one on model distillation."
  • User asks: "What themes keep showing up across all my recent research sessions?"
  • User asks: "Plot the publication year distribution from my last two DeepScans side by side."
  • User asks: "Synthesize everything I've researched on protein folding this month."

© hashgraph-online, 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 plugins/papersflow-ai/papersflow-codex-plugin/skills/comparative-synthesis of hashgraph-online/awesome-codex-plugins.

Open the folder on GitHubat commit 78497e5

Compare with similar skills

Comparative Synthesis 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.

Comparative Synthesis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Comparative Synthesis this skillhashgraph-online/awesome-codex-plugins1.2k—~687Automated safety check: PassApache-2.0
Research Synthesizeruvnet/ruflo74k—~706Automated safety check: NotesMIT
Find Releaseflutter/flutter179k—~545Automated safety check: PassBSD-3-Clause
Fd Findpenpot/penpot61k—~882Automated safety check: PassMPL-2.0
Synthesisyologdev/yoyo-evolve1.9k—~3.1kAutomated safety check: PassMIT
Finding ExperimentsPostHog/posthog40k—~783Automated safety check: PassCustom licence

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Questions about Comparative Synthesis

What does Comparative Synthesis do?

Compare and synthesize findings across multiple completed DeepScan reports. Comparative Synthesis is an agent skill from hashgraph-online/awesome-codex-plugins. Compare and synthesize findings across multiple completed DeepScan reports.

When should I use Comparative Synthesis?

Comparative Synthesis fits situations like: the user wants cross-run analysis; trend comparison; A unified summary from several research sessions.

How do I install Comparative Synthesis in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill comparative-synthesis -a claude-code`. Or copy the skill folder (plugins/papersflow-ai/papersflow-codex-plugin/skills/comparative-synthesis in hashgraph-online/awesome-codex-plugins) into .claude/skills/comparative-synthesis in your project. Claude Code loads it when a task matches its description.

How do I install Comparative Synthesis in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill comparative-synthesis -a codex`. Or copy the skill folder (plugins/papersflow-ai/papersflow-codex-plugin/skills/comparative-synthesis in hashgraph-online/awesome-codex-plugins) into .agents/skills/comparative-synthesis in your project. Codex loads it when a task matches its description.

Can I use Comparative Synthesis 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 hashgraph-online/awesome-codex-plugins --skill comparative-synthesis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/comparative-synthesis, .gemini/skills/comparative-synthesis, .github/skills/comparative-synthesis and .opencode/skills/comparative-synthesis in your project.

What does Comparative Synthesis need to run?

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

Does Comparative Synthesis 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 Comparative Synthesis 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 Comparative Synthesis use?

Comparative Synthesis 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 Comparative Synthesis use?

About 687 tokens (SKILL.md is roughly 2.7k 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 Comparative Synthesis?

Skills that share tags, products or a category with Comparative Synthesis: Research Synthesize (ruvnet/ruflo, 74k stars), Find Release (flutter/flutter, 179k stars), Fd Find (penpot/penpot, 61k stars) and Synthesis (yologdev/yoyo-evolve, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Comparative Synthesis?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,242 GitHub stars. The repository holds 686 skills in this directory. The repository was last updated on October 8, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.