academic-figure-draft-analyzer

academic-figure-draft-analyzer is a skill for Claude Code, Codex from Azhi-ss/academic-figure-skills. It costs 52 tokens per session (1,784 once invoked), scanned A, original, MIT.

A planning guide that decides which figures a research paper needs and what each should show. It can work from early notes or a complete manuscript with experimental results.

In plain words
What is it for?
It helps plan an overview figure for an early draft, or a complete set of publication figures for a finished paper, with checks that each planned figure is supported by the manuscript.
Why use it?
It bases figure planning on the paper's claims and the questions readers need answered, rather than forcing every paper into the same set of figures.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps plan an overview figure for an early draft, or a complete set of publication figures for a finished paper, with checks that each planned figure is supported by the manuscript.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/azhi-ss/academic-figure-skills/academic-figure-draft-analyzer
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 Azhi-ss/academic-figure-skills --skill academic-figure-draft-analyzer
Clone the repo
git clone --depth 1 https://github.com/Azhi-ss/academic-figure-skills

Made for: Claude Code, Codex.

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 academic-figure-draft-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/skills/azhi-ss/academic-figure-skills/academic-figure-draft-analyzer/github.svg)](https://agentmods.dev/skills/azhi-ss/academic-figure-skills/academic-figure-draft-analyzer)
Your own site
<a href="https://agentmods.dev/skills/azhi-ss/academic-figure-skills/academic-figure-draft-analyzer"><img src="https://agentmods.dev/badge/skills/azhi-ss/academic-figure-skills/academic-figure-draft-analyzer/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 academic-figure-draft-analyzer

Your own site · 80×15
<a href="https://agentmods.dev/skills/azhi-ss/academic-figure-skills/academic-figure-draft-analyzer"><img src="https://agentmods.dev/badge/skills/azhi-ss/academic-figure-skills/academic-figure-draft-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,784 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Anti-Refusal · line 22
    Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.
    Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 $0.00052 $0.01784
Opus 5 $0.00026 $0.00892
Sonnet 5 $0.00010 $0.00357
Haiku 4.5 $0.00005 $0.00178

Measured 12d ago against content hash cbc0ba823af3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

academic-figure-draft-analyzer 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.

academic-figure-draft-analyzer/SKILL.md · 152 lines

How it starts

The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Academic Draft and Paper Analyzer (Figure Planner)

Produce a human-readable figure strategy and a machine-readable Figure Plan v1. Plan figures around the paper's claims and reader questions, not around a fixed count or a generic pipeline template.

Read references/missing-info-policy.md when the paper is incomplete. If a repository handoff or extracted reference-style profile exists, carry it forward without renaming fields.

Dual-Track Planning Workflow

The analyzer operates in one of two modes depending on the input:

  1. Draft-to-Figure Fast-Track (草稿敏捷直出):
    • Trigger: Input is notes, an outline, or an early draft (Markdown, text, or draft sections) without complete experimental/analysis results.
    • Target: Focus exclusively on Figure 1: Overall Framework / Methodology Overview.
    • Policy: Do NOT force a multi-figure plan (ablation/data behavior). Do NOT warn about missing experimental/analysis sections.
  2. Camera-Ready Multi-Figure Plan (完整定稿多图规划):
    • Trigger: Input is a complete manuscript with experimental results (Markdown, LaTeX, PDF, or full text).
    • Target: Systematically plan the multi-figure suite with claim verification and publication constraints.

Input contract

  • Prefer: manuscript text or source, abstract, method, experiments, target venue/page limit, semantic architecture handoff, and any reference figures.
  • Accept: Markdown (.md) draft or notes, outline, title plus abstract, local PDF, paper URL/HTML, Word/LaTeX.
  • A URL is a paper source only after its content is inspected; do not classify every URL as a code repository.
  • If a PDF or webpage cannot be read in the current environment, report that limitation rather than inventing paper structure.

Output contract

Include:

  1. Paper overview: question, contribution, evidence, and intended venue constraints.
  2. Completeness statement: sections and artifacts actually inspected.
  3. Per-figure recommendation with a controlled type and must, strong, or nice priority (in Draft mode, emit exactly one primary Figure 1).
  4. A one-sentence communication goal: what the reader should understand after viewing the figure.
  5. Required nodes, edges, authority boundaries, and forbidden implications.
  6. Aspect ratio and final publication width hint.
  7. Figure Plan v1 JSON.

Read the full file on GitHub · 152 lines

Files

What ships with it

2 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.

  1. 12d ago First seen · 152 lines · 52 tokens per session scan A cbc0ba823af3

Subscribe to this mod's changes

academic-figure-draft-analyzer is a skill published in the GitHub repository Azhi-ss/academic-figure-skills (103 stars, last pushed 9d ago), licensed MIT. It adds 52 tokens to every session and 1,784 once invoked, about $0.0003 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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