knowledge-synthesis

knowledge-synthesis is a skill for Claude Code, Codex from w95/awesome-claude-corporate-skills. It costs 38 tokens per session (1,831 once invoked), scanned A, a copy of knowledge-synthesis, MIT.

A tool for combining search results from different company sources into one clear answer with source references. It can bring together matching information from places such as chat, email, cloud files, and project trackers.

In plain words
What is it for?
Use it to summarize enterprise search results, remove duplicates, compare evidence across sources, and produce answers with source attribution and confidence information.
Why use it?
It reduces repeated or conflicting results when the same decision appears in several places. It also helps show which sources support an answer and how reliable or recent they are.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to summarize enterprise search results, remove duplicates, compare evidence across sources, and produce answers with source attribution and confidence information.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/w95/awesome-claude-corporate-skills/knowledge-synthesis
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 w95/awesome-claude-corporate-skills --skill knowledge-synthesis
Clone the repo
git clone --depth 1 https://github.com/w95/awesome-claude-corporate-skills

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.

agentmods badge for knowledge-synthesis

README.md
[![agentmods](https://agentmods.dev/badge/skills/w95/awesome-claude-corporate-skills/knowledge-synthesis/github.svg)](https://agentmods.dev/skills/w95/awesome-claude-corporate-skills/knowledge-synthesis)
Your own site
<a href="https://agentmods.dev/skills/w95/awesome-claude-corporate-skills/knowledge-synthesis"><img src="https://agentmods.dev/badge/skills/w95/awesome-claude-corporate-skills/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.

agentmods 80×15 button for knowledge-synthesis

Your own site · 80×15
<a href="https://agentmods.dev/skills/w95/awesome-claude-corporate-skills/knowledge-synthesis"><img src="https://agentmods.dev/badge/skills/w95/awesome-claude-corporate-skills/knowledge-synthesis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,831 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.
Origin 94% copy Near-identical to another mod 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00038 $0.01831
Opus 5 $0.00019 $0.00915
Sonnet 5 $0.00008 $0.00366
Haiku 4.5 $0.00004 $0.00183

Measured 12d ago against content hash 930ea22079de, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, 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 12d 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.

Origin

This is a copy

94% identical to knowledge-synthesis — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

01-executive-leadership/knowledge-synthesis/SKILL.md · 258 lines

How it starts

The opening of the file, as written. The whole thing — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Knowledge Synthesis

The last mile of enterprise search. Takes raw results from multiple sources and produces a coherent, trustworthy answer.

The Goal

Transform this:

~~chat result: "Sarah said in #eng: 'let's go with REST, GraphQL is overkill for our use case'"
~~email result: "Subject: API Decision — Sarah's email confirming REST approach with rationale"
~~cloud storage result: "API Design Doc v3 — updated section 2 to reflect REST decision"
~~project tracker result: "Task: Finalize API approach — marked complete by Sarah"

Into this:

The team decided to go with REST over GraphQL for the API redesign. Sarah made the
call, noting that GraphQL was overkill for the current use case. This was discussed
in #engineering on Tuesday, confirmed via email Wednesday, and the design doc has
been updated to reflect the decision. The related ~~project tracker task is marked complete.

Sources:
- ~~chat: #engineering thread (Jan 14)
- ~~email: "API Decision" from Sarah (Jan 15)
- ~~cloud storage: "API Design Doc v3" (updated Jan 15)
- ~~project tracker: "Finalize API approach" (completed Jan 15)

Deduplication

Cross-Source Deduplication

The same information often appears in multiple places. Identify and merge duplicates:

Signals that results are about the same thing:

  • Same or very similar text content
  • Same author/sender
  • Timestamps within a short window (same day or adjacent days)
  • References to the same entity (project name, document, decision)
  • One source references another ("as discussed in ~~chat", "per the email", "see the doc")

How to merge:

  • Combine into a single narrative item
  • Cite all sources where it appeared
  • Use the most complete version as the primary text
  • Add unique details from each source

Deduplication Priority

When the same information exists in multiple sources, prefer:

1. The most complete version (fullest context)
2. The most authoritative source (official doc > chat)
3. The most recent version (latest update wins for evolving info)

Read the full file on GitHub · 258 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 258 lines · 38 tokens per session scan A 930ea22079de

Subscribe to this mod's changes

knowledge-synthesis is a skill published in the GitHub repository w95/awesome-claude-corporate-skills (198 stars, last pushed 6mo ago), licensed MIT. It adds 38 tokens to every session and 1,831 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to knowledge-synthesis, differing in 1 line, and is treated as a copy.

Related

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