A research report builder that traces how ideas in an academic field developed from earlier problems to later solutions, using diagrams and written explanations.

It is for mapping a field's history, tracing a paper's influences and follow-ups, building citation trees, and showing the evolution of ideas.

It makes relationships between papers and successive improvements easier to follow than a simple list of citations.

paper-graph — Skill by CamusGIT

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 skills/camusgit/evoquant/paper-graph

Any agent

npx skills add CamusGIT/EvoQuant --skill paper-graph

Clone the repo

git clone --depth 1 https://github.com/CamusGIT/EvoQuant

Made for: Claude Code, Codex.

Per session 197 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 6,049 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.

Model	Per session	Once invoked
Fable 5	$0.00197	$0.06049
Opus 5	$0.00098	$0.03024
Sonnet 5	$0.00039	$0.01210
Haiku 4.5	$0.00020	$0.00605

Measured 2d ago against content hash b41f3f0c737c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

paper-graph 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 2d ago.

The scan reads SKILL.md. This mod also ships 9 executable files (scripts/cli.py, scripts/config.py, scripts/deepxiv_client.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

EvoQuant/skills/paper-graph/SKILL.md · 398 lines

How it starts

The opening of the file, as written. The whole thing — 398 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Paper Graph

Build a Markdown report with embedded Mermaid diagrams showing how research on a user-specified topic (or paper) evolved — clustered into challenges → solutions and traced as per-solution evolution paths.

The skill has no outbound LLM dependency. The host agent provides all LLM calls; the skill provides deterministic data fetchers (S2 / DeepXiv), prompt templates, markdown parsers, and Mermaid renderers. Run the runbook below step-by-step.

When to Use This Skill

Trigger when the user asks something like:

"Show me the history of " / "How did evolve?"
"Where does stem from?" / "What did build on?"
"What are significant improvements / follow-ups to ?"
"Trace the lineage of ideas in " / "Give me a literature taxonomy of "
"Citation tree of " / "Idea trace of "

Skip when:

The user just wants a one-paper summary or single search hit (no relational/evolutionary aspect).
The request is for non-academic citation work.
The user explicitly wants a plain bibliography rather than a graph.

Inputs and Output

Inputs:

A research query: a topic, a seed paper title/citation, or a hybrid. Free-form text.
Output path (required): path for the final Markdown report. If not given, ask before running.
(Optional) number of papers to fetch (--n flag on fetch_papers). Default 10.
(Optional) Mermaid theme light or dark (--theme on render steps, or MERMAID_THEME env). Default light.

Output: a single Markdown file at the user-specified path with these sections:

Research goal (extracted from the query)
High-level taxonomy — one Mermaid graph: root → challenges → solutions → paper references
Per-solution evolution paths — one Mermaid graph per solution, showing paper-to-paper "evolution from" edges, evolution points, open challenges
Paper appendix — the numbered list of papers with title / year / authors / abstract / conclusion excerpt

Read the full file on GitHub · 398 lines

Files

What ships with it

15 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

2d ago First seen · 398 lines · 197 tokens per session scan A b41f3f0c737c

Subscribe to this mod's changes

paper-graph is a skill published in the GitHub repository CamusGIT/EvoQuant (215 stars, last pushed 15d ago), licensed Apache-2.0. It adds 197 tokens to every session and 6,049 once invoked, about $0.0010 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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