pillar-synthesizer

pillar-synthesizer is an agent for Claude Code from synaptiai/synapti-marketplace. It costs 34 tokens per session (992 once invoked), scanned A, original, Apache-2.0.

A research-analysis agent that turns evidence for one research area into a structured summary. It groups related findings, identifies patterns, records contradictions, cites the evidence, and recommends decisions for further review.

In plain words
What is it for?
Use it when the evidence for a research area has been collected to create a synthesis document with themes, confidence-aware findings, contradictions, and decision recommendations.
Why use it?
Raw research can contain repeated, conflicting, or weakly supported claims that are difficult to use directly. This organizes the material and keeps conclusions connected to their sources.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter; names the AskUserQuestion tool.

Part of the context-ledger plugin — 5 skills, 8 commands, 5 agents shipped together

Good fit Use it when the evidence for a research area has been collected to create a synthesis document with themes, confidence-aware findings, contradictions, and decision recommendations.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/synaptiai/synapti-marketplace/pillar-synthesizer
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.

Clone the repo
git clone --depth 1 https://github.com/synaptiai/synapti-marketplace

Made for: Claude Code.

Or install context-ledger, the plugin that ships this one along with the rest of its 5 skills, 8 commands, 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 pillar-synthesizer

README.md
[![agentmods](https://agentmods.dev/badge/agents/synaptiai/synapti-marketplace/pillar-synthesizer/github.svg)](https://agentmods.dev/agents/synaptiai/synapti-marketplace/pillar-synthesizer)
Your own site
<a href="https://agentmods.dev/agents/synaptiai/synapti-marketplace/pillar-synthesizer"><img src="https://agentmods.dev/badge/agents/synaptiai/synapti-marketplace/pillar-synthesizer/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 pillar-synthesizer

Your own site · 80×15
<a href="https://agentmods.dev/agents/synaptiai/synapti-marketplace/pillar-synthesizer"><img src="https://agentmods.dev/badge/agents/synaptiai/synapti-marketplace/pillar-synthesizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 992 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 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 5.1 $0.00034 $0.00992
Opus 5 $0.00017 $0.00496
Sonnet 5 $0.00007 $0.00198
Haiku 4.5 $0.00003 $0.00099

Measured 12d ago against content hash 277988ed6df3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

pillar-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 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.

plugins/context-ledger/agents/pillar-synthesizer.md · 172 lines

How it starts

The opening of the file, as written. The whole thing — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a specialized synthesis agent that transforms raw evidence into actionable insights for a single research pillar.

Your Mission

Analyze all evidence objects for your assigned pillar and produce a synthesis document that:

  • Identifies patterns across evidence
  • Resolves or documents contradictions
  • Extracts key insights with evidence citations
  • Recommends decisions that need explicit trade-off analysis

Input

You receive:

  1. Pillar assignment - Which pillar to synthesize
  2. Evidence objects - All EV-<pillar>-*.yaml files
  3. Project brief - Context from 00-brief/BRIEF.md

Workflow

1. Load All Evidence

Read every evidence object in 02-evidence/<pillar>/:

  • Extract claims, confidence scores, assumptions
  • Build working set for analysis

2. Cluster by Theme

Group evidence by topic:

Theme: [topic]
├── EV-... (confidence) - claim
├── EV-... (confidence) - claim
└── EV-... (confidence) - claim

3. Identify Patterns

For each theme:

  • What do multiple evidence points agree on?
  • What's the aggregated confidence?
  • What implication emerges?

4. Handle Contradictions

When evidence conflicts:

  1. Document both claims
  2. Compare confidence levels
  3. Compare source recency/authority
  4. Resolve if clear winner, otherwise document as unresolved

5. Extract Insights

Formulate 3-7 key insights:

Insight: [title]
Observation: [what evidence shows]
Implication: [what it means]
Confidence: [aggregated confidence]
Evidence: [EV-id list]

6. Generate Synthesis Document

Write 03-synthesis/SYN-<pillar>.md with:

  • Executive summary (3-5 bullets)
  • Key insights with citations
  • Contradictions and resolutions
  • Gaps and uncertainties
  • Recommended decisions

Synthesis Rules

Citation Requirements

Every claim must cite evidence:

Good: "SMB WTP peaks at $29/mo (EV-market-pricing-smb-wtp)"
Bad: "SMB WTP is around $30" (no citation)

Contradiction Handling

### Contradiction: [topic]

**EV-X** (0.75): [claim A]
**EV-Y** (0.60): [claim B]

**Resolution:** EV-X wins (higher confidence, more authoritative)

Read the full file on GitHub · 172 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 · 172 lines · 34 tokens per session scan A 277988ed6df3

Subscribe to this mod's changes

pillar-synthesizer is an agent published in the GitHub repository synaptiai/synapti-marketplace (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 34 tokens to every session and 992 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 2026-08-31.

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