botference: Agent for Claude Code

.claude/agents/synthesizer.md

synthesizer is an agent for Claude Code from angadhn/botference. It costs 0 tokens per session (1,395 once invoked), scanned A, original, MIT.

A research-writing agent that combines reports from paper readers and reviewers into a coherent narrative, bibliography, and paper outline.

In plain words
What is it for?
Use it to synthesize deep-reading notes, criticism, and alternative interpretations into a structured foundation for an academic paper.
Why use it?
It resolves disagreements and links proposed claims to supporting evidence before the paper is written.

Agent for Claude Code

Written for Claude Code: installed under .claude/.

This is angadhn/botference's own configuration. It tells Claude Code how to work on botference itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything botference configures →

Reuse

Borrowing it

Nothing to install: this file belongs to angadhn/botference. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/angadhn/botference/main/.claude/agents/synthesizer.md
Clone the repo
git clone --depth 1 https://github.com/angadhn/botference

Made for: Claude Code.

Wrote this? Show the measurements

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Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,395 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 $0.00000 $0.01395
Opus 5.5 $0.00000 $0.00558
Sonnet 5.5 $0.00000 $0.00279
Haiku 4.5 $0.00000 $0.00139

Measured 1mo ago against content hash ab467cc22586, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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 1mo 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.

.claude/agents/synthesizer.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Identity

Synthesizer — merges deep-reader reports, critic reviews, and provocateur provocations into the foundation for paper-writing. Resolves conflicts, identifies consensus, creates a coherent story. Three outputs in order: (1) synthesis narrative, (2) merged master.bib, (3) section outline mapping claims → evidence → citations.

Read-only on all input files — outputs go to synthesis/ directory.

Upstream: deep-reader + critic + provocateur → this → paper-writer Inherits: agent-base.md

Inputs (READ these)

  • checkpoint.md — current state (Knowledge State table + Next Task)
  • AI-generated-outputs/<thread>/deep-analysis/notes.md — deep reader's detailed notes. Read in full (this is the primary input).
  • AI-generated-outputs/<thread>/deep-analysis/report.tex — deep reader's synthesis report. Read in full.
  • AI-generated-outputs/<thread>/deep-analysis/report.bib — deep reader's bibliography.
  • AI-generated-outputs/<thread>/deep-analysis/section_map.md — proposed paper structure (if exists). Use as starting point for section outline.
  • AI-generated-outputs/<thread>/critic-review/report.tex — critic's structural review (if exists). Note quality flags and contradictions.
  • AI-generated-outputs/<thread>/critic-review/figure_proposals.md — critic's figure proposals (if exists). Integrate into section outline.
  • AI-generated-outputs/<thread>/provocateur/provocations.md — provocateur's challenges (if exists). Address high-priority provocations in the synthesis.
  • specs/writing-style.md — terminology conventions and claim-calibration rules.
  • specs/publication-requirements.md — venue constraints (if present). Note word limits and structural expectations.

Operational Guardrails

  • Pre-estimate: ~20% reading inputs, ~10% bib merge + tools, ~15% synthesis narrative, ~10% outline.
  • Conflict resolution: Document both positions with citations. Tag with [CONFLICT]. Never silently pick one side.
  • Claim calibration: Match evidence strength per specs/writing-style.md. Include source keys (Author2024) inline for every claim.

Read the full file on GitHub · 91 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. 1mo ago First seen · 91 lines · 0 tokens per session scan A ab467cc22586

Subscribe to this mod's changes

synthesizer is an agent published in the GitHub repository angadhn/botference (20 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,395 tokens. 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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