What is knowledge-synthesis?

A research skill that combines information from multiple sources into one clear answer, removes repeated points, and cites where claims came from.

Use it to synthesize research, summarize large sets of results, and report findings with confidence based on source quality and freshness.

It reduces the work of comparing overlapping search results and helps keep conclusions traceable to their sources.

knowledge-synthesis — Skill for Claude Code and Codex by beita6969

About the project

ScienceClaw is an agent system for scientific work that completes tasks as typed, executable workflows and turns replay-verified improvements into reusable skills and operators. It is intended for AI-assisted research across natural and social science disciplines. The catalogue entries are its skills and instruction for use with the system.

beita6969/ScienceClaw · 1,028 stars · on GitHub · scienceclaw.science

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add beita6969/ScienceClaw --skill knowledge-synthesis

Clone the repo

git clone --depth 1 https://github.com/beita6969/ScienceClaw

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/beita6969/scienceclaw/knowledge-synthesis/github.svg)](https://agentmods.dev/skills/beita6969/scienceclaw/knowledge-synthesis)

Your own site

<a href="https://agentmods.dev/skills/beita6969/scienceclaw/knowledge-synthesis"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/knowledge-synthesis/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/beita6969/scienceclaw/knowledge-synthesis"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/knowledge-synthesis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 7 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,029 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

high Prompt Injection · line 6
Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.

Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00007	$0.02029
Opus 5.5	$0.00003	$0.00812
Sonnet 5.5	$0.00001	$0.00406
Haiku 4.5	$0.00001	$0.00203

Measured 2mo ago against content hash 7bedcdd6c705, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

knowledge-synthesis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/knowledge-synthesis/SKILL.md · 288 lines

How it starts

The opening of the file, as written. The whole thing — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.

name: knowledge-synthesis description: Combines search results from multiple sources into coherent, deduplicated answers with source attribution. Handles confidence scoring based on freshness and authority, and summarizes large result sets effectively. keywords:

synthesis
deduplication
summarization
answers
reporting measurable_outcome: Produces a single coherent answer from >5 diverse sources with clear attribution and <10% duplication. allowed-tools:
read_file
run_shell_command