synthesize

synthesize is a skill for Claude Code from Kastalien-Research/thoughtbox. It costs 34 tokens per session (518 once invoked), scanned A, original, MIT.

A process for combining information from code, documentation, project memory, research, and issue history into one understanding.

In plain words
What is it for?
Researching a topic across at least three source types, comparing claims and conflicts, and producing a coherent synthesis.
Why use it?
It helps when useful evidence is scattered across different places or when sources disagree.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: installed under .agents/ (shared by several agents); mentions Codex.

Good fit Researching a topic across at least three source types, comparing claims and conflicts, and producing a coherent synthesis.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kastalien-research/thoughtbox/synthesize
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 Kastalien-Research/thoughtbox --skill synthesize
Clone the repo
git clone --depth 1 https://github.com/Kastalien-Research/thoughtbox

Made for: Claude Code.

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 synthesize

README.md
[![agentmods](https://agentmods.dev/badge/skills/kastalien-research/thoughtbox/synthesize.svg)](https://agentmods.dev/skills/kastalien-research/thoughtbox/synthesize)
Your own site
<a href="https://agentmods.dev/skills/kastalien-research/thoughtbox/synthesize"><img src="https://agentmods.dev/badge/skills/kastalien-research/thoughtbox/synthesize.svg" alt="Measured on agentmods" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 518 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 pass 7 Sept 2026
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00034 $0.00518
Opus 5 $0.00017 $0.00259
Sonnet 5 $0.00007 $0.00104
Haiku 4.5 $0.00003 $0.00052

Measured 8d ago against content hash dceb613cfc51, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

synthesize 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 8d 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/skills/synthesize/SKILL.md · 71 lines

What it actually says

Synthesize knowledge on this topic: $ARGUMENTS

Process

1. Source Inventory

Identify relevant knowledge sources across these categories:

Source Type Where to Look
Code Current codebase (Glob/Grep), implementation patterns, tests, comments
Documentation Specs, READMEs, ADRs, API docs in the repo
Memory .Codex/ project memory, agent memory, previous learnings
External research WebSearch, Exa for papers, blog posts, community discussion
Issue history selected tracker or handoff entries, closed issues, decision rationale

Scan at least 3 source types. Don't rely on a single category.

2. Extract & Classify

For each source, extract:

  • Claims — specific assertions about the topic
  • Patterns — recurring approaches or structures
  • Conflicts — where sources disagree
  • Gaps — what no source addresses

3. Integration

Three integration strategies, used as appropriate:

Convergent — Multiple sources agree. High confidence. Extract the common principle.

Divergent — Sources disagree. Analyze why (different contexts? different values? different data?). Don't force resolution — document the conditions under which each view applies.

Complementary — Sources cover different facets. Weave into a complete picture, noting which source contributed which piece.

4. Output

## Synthesis: [Topic]

### Sources Consulted
- [Source type]: [what was found]

### Convergent Findings (high confidence)
- [Finding]: supported by [sources]

### Divergent Findings (context-dependent)
- [Claim A] (applies when [X]) vs. [Claim B] (applies when [Y])

### Gaps
- [What no source addressed]

### Integrated Understanding
[Coherent narrative combining all sources — the actual synthesis]

### Confidence Assessment
[Overall confidence and what would increase it]

### Actionable Next Steps
[What to do with this understanding]
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. 8d ago First seen · 71 lines · 34 tokens per session scan A dceb613cfc51

Subscribe to this mod's changes

synthesize is a skill published in the GitHub repository Kastalien-Research/thoughtbox (64 stars, last pushed 1mo ago), licensed MIT. It adds 34 tokens to every session and 518 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.