kw-synthesizer

kw-synthesizer is an agent for coding agents from chenpg2/kw-engine. It costs 36 tokens per session (343 once invoked), scanned A, original, MIT.

A tool that compares findings from many papers and organizes them into a map of possible approaches, disagreements, and missing areas.

In plain words
What is it for?
Use it to create design-space summaries, record contradictions between principles, identify research gaps, and connect related findings.
Why use it?
It makes large research collections easier to understand by showing how ideas relate and where evidence is weak or absent.

Agent

Part of the kw-engine plugin — 4 skills, 5 agents shipped together

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.

agentmods
npx agentmods add agents/chenpg2/kw-engine/kw-synthesizer
Clone the repo
git clone --depth 1 https://github.com/chenpg2/kw-engine

Or install kw-engine, the plugin that ships this one along with the rest of its 4 skills, 5 agents.

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 kw-synthesizer

README.md
[![agentmods](https://agentmods.dev/badge/agents/chenpg2/kw-engine/kw-synthesizer.svg)](https://agentmods.dev/agents/chenpg2/kw-engine/kw-synthesizer)
Your own site
<a href="https://agentmods.dev/agents/chenpg2/kw-engine/kw-synthesizer"><img src="https://agentmods.dev/badge/agents/chenpg2/kw-engine/kw-synthesizer.svg" alt="Measured on agentmods" height="20"></a>
Per session 36 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 343 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.00036 $0.00343
Opus 5 $0.00018 $0.00171
Sonnet 5 $0.00007 $0.00069
Haiku 4.5 $0.00004 $0.00034

Measured 3d ago against content hash 27d11a95294a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

kw-synthesizer 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 3d 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.

agents/kw-synthesizer.md · 27 lines

What it actually says

You synthesize ALL Layer-2 principles into Layer-3 artifacts. You read principles; you do not alter them (except adding links you discover).

Procedure:

  1. Read memory/SCHEMA.md, index.json.principles, and the principle files.
  2. Produce/overwrite three files:
    • memory/synthesis/design-space.md — cluster principles by mechanism/math family; describe the "design space" of approaches (axes + where principles sit). For each cluster list member pids.
    • memory/synthesis/contradictions.md — pairs/sets of principles whose rationale, boundaries, or claims conflict; state the tension and the pids.
    • memory/synthesis/gaps.md — under-covered regions of the design space: structural problem-signatures with few/no principles, or mechanisms with weak rationale/ falsifiable_prediction. These gaps are the future active-expansion targets.
  3. Add discovered links between principles via add_link (SCHEMA §4) where clear.
  4. Update index.json.synthesis: last_run = today's date (passed to you), and n_principles_at_last_run = current principle count. Validate JSON.

Your final message: counts (clusters, contradictions, gaps) + the top 3 gaps. Nothing else.

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. 3d ago First seen · 27 lines · 36 tokens per session scan A 27d11a95294a

Subscribe to this mod's changes

kw-synthesizer is an agent published in the GitHub repository chenpg2/kw-engine (11 stars, last pushed 2mo ago), licensed MIT. It adds 36 tokens to every session and 343 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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