Agent skill

Result Figure Consistencycheck

by aipoch in aipoch/medical-research-skills

Checks consistency between paper result descriptions and figure legends (text-only) when the input is a PDF-to-Markdown full text containing page breaks (e.g., Page XX) and legend text; outputs a…

MITAuto-check passedDocuments & Office

Install Result Figure Consistencycheck

skills CLI
$ npx skills add aipoch/medical-research-skills --skill result-figure-consistencycheck -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aipoch/medical-research-skills result-figure-consistencycheck --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/scientific-skills/Other/result-figure-consistencycheck .claude/skills/result-figure-consistencycheck && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
result-figure-consistencycheck
GitHub stars
1.9k
Token cost
~1.7k tokens
SKILL.md length
799 words
Files
6 (incl. references, assets)
Skills in repo
578
Repo updated
First seen
Licence
MIT

At a glance

Checks consistency between paper result descriptions and figure legends (text-only) when the input is a PDF-to-Markdown full text containing page breaks (e.g., Page XX) and legend text; outputs a…

  • Works in 4 steps: Read the full Markdown input (PDF… → Identify → Compare legend statements against… → …
  • Tasks that involve PDF
  • SKILL.md covers When to Use, Key Features, Dependencies and Example Usage, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Result Figure Consistencycheck is an agent skill from aipoch/medical-research-skills. Checks consistency between paper result descriptions and figure legends (text-only) when the input is a PDF-to-Markdown full text containing page breaks (e.g., Page XX) and legend text; outputs a Markdown consistency report and a UTF-8 CSV issue list.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files and assets (for example `POLISH_CHANGELOG.md`, `assets/consistency_template.md` and `eval_report_result-figure-consistencycheck_result.json`).

It sits in Documents & Office, covering PDF and CSV and tabular files. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.

When your agent uses it

  • Tasks that involve PDF
  • Tasks that involve CSV and tabular files

Example prompts

  • “Use the result-figure-consistencycheck skill to check consistency between paper result descriptions and figure legends (text-only) when the input is…”
  • “/result-figure-consistencycheck”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Read the full Markdown input (PDF conversion output).
  2. Identify
  3. Compare legend statements against Results statements and record discrepancies.
  4. Write outputs to outputs/

What it can do on your machine

Read from SKILL.md and the folder at commit 686e09d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown and csv).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Result Figure Consistencycheck loads about 1.7k tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 72 tokens; SKILL.md has 799 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~72
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 799 words, ~1,725 tokens.

Download SKILL.mdSave it as .claude/skills/result-figure-consistencycheck/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
result-figure-consistencycheck
description
Checks consistency between paper result descriptions and figure legends (text-only) when the input is a PDF-to-Markdown full text containing page breaks (e.g., `## Page XX`) and legend text; outputs a Markdown consistency report and a UTF-8 CSV issue list.
license
MIT
author
AIPOCH

Source: https://github.com/aipoch/medical-research-skills

When to Use

  • You converted a paper PDF to Markdown and need to verify that Results text matches figure legends (without inspecting the images).
  • You want to detect missing figure references in the Results section (e.g., a legend describes an analysis not mentioned in text).
  • You need to find numerical/label mismatches (e.g., group names, time points, units, n-values) between Results paragraphs and legends.
  • You are preparing a revision and want an actionable discrepancy list down to the panel/sub-figure level.
  • You need standardized outputs (Markdown report + CSV) for editorial or QA workflows.

Key Features

  • Compares Results descriptions vs figure legend text using the PDF-to-Markdown source (including ## Page XX markers).
  • Produces:
    • A Markdown consistency report (UTF-8).
    • A CSV issue list (UTF-8) with structured fields for tracking and revision.
  • Enforces a template-based report format using assets/consistency_template.md.
  • Uses a rule/checklist reference from references/guide.md.
  • Text-only validation: does not read figure images and does not infer visual content.

Dependencies

  • None (no external runtime dependencies specified).
  • Input prerequisite (if starting from PDF): a PDF-to-Markdown conversion step (e.g., pdf-extract) must be completed before running this check.

Example Usage

Input

Place the converted full text Markdown in your working location (example: inputs/paper_fulltext.md). The file should include page headers like:

md
## Page 12
... Results text ...

Figure 3. ...
(A) ...
(B) ...
Run (conceptual workflow)
  1. Read the full Markdown input (PDF conversion output).
  2. Identify:
    • Result paragraphs describing findings.
    • Figure legend blocks (including panel labels such as A/B/C).
  3. Compare legend statements against Results statements and record discrepancies.
  4. Write outputs to outputs/:
    • outputs/consistency_report.md (UTF-8)
    • outputs/consistency_issues.csv (UTF-8)
Output files

outputs/consistency_issues.csv (UTF-8) columns:

csv
Figure Number,Location/Reference,Issue Description,Suggested Revision,Priority

Notes:

  • Location/Reference must contain only Page XX.
  • Issues should be granular to the panel/sub-figure level when applicable.

outputs/consistency_report.md (UTF-8) must follow:

  • Template: assets/consistency_template.md
  • If no issues are found, write "None found" in the relevant sections.

Implementation Details

  • Scope of comparison

    • Only compare main text Results descriptions and figure legend text present in the Markdown input.
    • Do not inspect images or infer information not explicitly stated in text.
  • Rules and checklist

    • Follow the specific checking rules and required output points defined in:
      • references/guide.md
  • Report formatting

    • The Markdown report must be generated by filling:
      • assets/consistency_template.md
    • Ensure all outputs are saved under:
      • outputs/ (within the skill directory)
  • Granularity and actionability

    • Record discrepancies at the most specific level possible (e.g., Figure 2B vs Figure 2 overall).
    • Provide a concrete Suggested Revision whenever feasible (e.g., align terminology, correct numbers/units, add missing reference).
  • Language

    • Default output language is Chinese.
    • If the user explicitly specifies another language, output in that language.

When Not to Use

  • Do not proceed when required input files, identifiers, parameters, or context are missing — ask the user to provide them first.
  • Do not assume capabilities beyond this skill's declared scope when the user requests external operations or inferences.
  • Do not proceed without user confirmation when overwriting existing results, executing high-cost batch operations, or expanding task scope.
Show full SKILL.md (333 more words)Show less

Required Inputs

FieldRequiredFormat/SourceExampleIf Missing
User task descriptionYesTextResearch question, writing goal, analysis objectiveStop and ask user to provide
Primary input materialDepends on taskText, file path, ID, table, or literaturePMID, PDF, CSV, DOCX, keywords, etc.Specify which material type is missing
Output preferenceNoTextLanguage, format, target journal, templateUse skill default format

Output Contract

  • Primary output: Structured result or target file aligned with this skill's objective.
  • Optional output: Intermediate check notes, issue list, supplementary suggestions, or generated file paths.
  • Format requirement: Unless the user specifies otherwise, prefer stable, reviewable Markdown or JSON; if the skill's bundled script requires a fixed format, use that format.
  • If partially complete: Must explicitly mark as PARTIAL and state which steps are completed and which remain.

Failure Handling

  • Missing critical input: Explicitly state which fields, files, or identifiers are missing and pause.
  • Script, template, or resource execution failure: Report the failing step, likely cause, and recovery suggestions — do not silently degrade.
  • Partial completion only: Return the verified portion first, then list remaining blockers and suggested next steps.

User Checkpoints

  • Before executing batch processing, overwriting files, long-running searches, or multi-stage generation, confirm scope and output format with the user.
  • Before proceeding when a key judgment is ambiguous, evidence is insufficient, or the workflow is entering the next stage, confirm with the user.

Input Validation

This skill accepts requests that match the documented purpose of result-figure-consistencycheck and include enough context to complete the workflow safely.

Do not continue the workflow when the request is out of scope, missing a critical input, or would require unsupported assumptions. Instead respond:

result-figure-consistencycheck only handles its documented workflow. Please provide the missing required inputs or switch to a more suitable skill.

Quick Validation

  • Check that key scripts, templates, or reference file paths this skill depends on exist.
  • Check that the final output contains the core fields, sections, or files specified for this task.
  • Check that results clearly mark assumptions, limitations, and incomplete items.

© aipoch, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (references, assets) in scientific-skills/Other/result-figure-consistencycheck of aipoch/medical-research-skills.

  • SKILL.md
  • POLISH_CHANGELOG.md
  • assets/consistency_template.md
  • assets/figure_caption_checklist.csv
  • eval_report_result-figure-consistencycheck_result.json
  • references/guide.md

Open the folder on GitHubat commit 686e09d

Compare with similar skills

Result Figure Consistencycheck next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Result Figure Consistencycheck compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Result Figure Consistencycheck this skillaipoch/medical-research-skills1.9k—~1.7kAutomated safety check: PassMIT
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Uap Release Analyzerckpxgfnksd-max/uap-release-analyzer155—~2.6kAutomated safety check: PassMIT
Research Integrity Auditxuzhougeng/wisp-science1k—~2.6kAutomated safety check: PassAGPL-3.0
File ReadingWide-Moat/open-computer-use1261 repos~3.1kAutomated safety check: PassProprietary
CSV To Executive Reportskrun-dev/skrun210—~1.1kAutomated safety check: PassMIT

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Questions about Result Figure Consistencycheck

What does Result Figure Consistencycheck do?

Checks consistency between paper result descriptions and figure legends (text-only) when the input is a PDF-to-Markdown full text containing page breaks (e.g., Page XX) and legend text; outputs a…. Result Figure Consistencycheck is an agent skill from aipoch/medical-research-skills., Page XX) and legend text; outputs a Markdown consistency report and a UTF-8 CSV issue list.

When should I use Result Figure Consistencycheck?

Result Figure Consistencycheck fits situations like: tasks that involve PDF; tasks that involve CSV and tabular files.

How do I install Result Figure Consistencycheck in Claude Code?

Run `npx skills add aipoch/medical-research-skills --skill result-figure-consistencycheck -a claude-code`. Or copy the skill folder (scientific-skills/Other/result-figure-consistencycheck in aipoch/medical-research-skills) into .claude/skills/result-figure-consistencycheck in your project. Claude Code loads it when a task matches its description.

How do I install Result Figure Consistencycheck in Codex?

Run `npx skills add aipoch/medical-research-skills --skill result-figure-consistencycheck -a codex`. Or copy the skill folder (scientific-skills/Other/result-figure-consistencycheck in aipoch/medical-research-skills) into .agents/skills/result-figure-consistencycheck in your project. Codex loads it when a task matches its description.

Can I use Result Figure Consistencycheck in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aipoch/medical-research-skills --skill result-figure-consistencycheck -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/result-figure-consistencycheck, .gemini/skills/result-figure-consistencycheck, .github/skills/result-figure-consistencycheck and .opencode/skills/result-figure-consistencycheck in your project.

What does Result Figure Consistencycheck need to run?

SKILL.md names no scripts, command-line tools or credentials: Result Figure Consistencycheck is instructions for the agent only.

Does Result Figure Consistencycheck access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Result Figure Consistencycheck safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Result Figure Consistencycheck use?

Result Figure Consistencycheck is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Result Figure Consistencycheck use?

About 1.7k tokens (SKILL.md is roughly 6.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 283 tokens, read only when the agent opens those files.

What are the alternatives to Result Figure Consistencycheck?

Skills that share tags, products or a category with Result Figure Consistencycheck: Instrument Data To Allotrope (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars), Uap Release Analyzer (ckpxgfnksd-max/uap-release-analyzer, 155 stars), Research Integrity Audit (xuzhougeng/wisp-science, 1k stars) and File Reading (Wide-Moat/open-computer-use, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Result Figure Consistencycheck?

aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,937 GitHub stars. The repository holds 578 skills in this directory. The repository was last updated on September 17, 2026.

Source: aipoch/medical-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.