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aminer-pdf-ocr

aminer-pdf-ocr is a skill for Claude Code from CanXiangCC/aminer-open-skill. It costs 110 tokens per session (935 once invoked), scanned A, original, MIT.

A PDF-processing workflow that sends a research paper to AMiner for text recognition and extracts experiment details.

In plain words
What is it for?
It helps process an eligible PDF, retrieve the recognized results, and create an experiments.json file from the paper's experiment instructions.
Why use it?
It helps turn a scanned or difficult-to-read paper into usable text and structured experiment information.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: mentions Codex; built for openclaw.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the aminer-pdf-ocr plugin — 1 skill, 1 command shipped together

not rated 60repo +1 changed 8d ago A scan 110 tokens original MIT

Good fit It helps process an eligible PDF, retrieve the recognized results, and create an experiments.json file from the paper's experiment instructions.

Compare 6 skills from other repositories ↓
View source ↗ CanXiangCC/aminer-open-skill
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add CanXiangCC/aminer-open-skill
Claude Code
/plugin install aminer-pdf-ocr

Made for: Claude Code.

Or install aminer-pdf-ocr, the plugin that ships this one along with the rest of its 1 skill, 1 command.

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 aminer-pdf-ocr

README.md
[![agentmods](https://agentmods.dev/badge/skills/canxiangcc/aminer-open-skill/aminer-pdf-ocr/github.svg)](https://agentmods.dev/skills/canxiangcc/aminer-open-skill/aminer-pdf-ocr)
Your own site
<a href="https://agentmods.dev/skills/canxiangcc/aminer-open-skill/aminer-pdf-ocr"><img src="https://agentmods.dev/badge/skills/canxiangcc/aminer-open-skill/aminer-pdf-ocr/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 aminer-pdf-ocr

Your own site · 80×15
<a href="https://agentmods.dev/skills/canxiangcc/aminer-open-skill/aminer-pdf-ocr"><img src="https://agentmods.dev/badge/skills/canxiangcc/aminer-open-skill/aminer-pdf-ocr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 935 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 $0.00110 $0.00935
Opus 5 $0.00055 $0.00467
Sonnet 5 $0.00022 $0.00187
Haiku 4.5 $0.00011 $0.00093

Measured 8d ago against content hash 4e3d603f1240, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

aminer-pdf-ocr 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.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/artifacts.py, scripts/ocr.py, scripts/pdf_validation.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.

skills/aminer-pdf-ocr/SKILL.md · 50 lines

How it starts

The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PDF OCR + Experiment Extraction

The Python wrapper validates a PDF, uploads it to the AMiner PDF OCR open platform, handles queue backoff, polls the asynchronous job, downloads the temporary result ZIP, and writes compatible local artifacts. The Agent then reads result.md and follows references/experiment_prompt.md to create experiments.json.

Pre-flight

  1. Confirm AMINER_API_KEY exists (same token as other AMiner skills). If missing, stop and send the user to https://open.aminer.cn/open/board?tab=control. Never print its value. OPEN_PLATFORM_TOKEN is accepted only as a deprecated fallback.
  2. Install requests and pypdf from requirements.txt.
  3. Confirm the input is a local PDF or an HTTP(S) URL. The open platform accepts only unencrypted PDFs of 1-30 pages and at most 10 MiB. Refuse localhost / private-network URLs.

Run

python3 "${CLAUDE_PLUGIN_ROOT}/scripts/ocr.py" --input "/abs/path/to/paper.pdf"

Options include --output-dir, --request-timeout, --poll-timeout, --max-upload-attempts, --no-save-images, and --output. The old local parser, backend, page-range, formula, and table options are not supported.

API contract

  • Endpoints: POST /api/v3/paper/pdfocr/upload and GET /api/v3/paper/pdfocr/result on https://datacenter.aminer.cn/gateway/open_platform.
  • Upload and polling use the same token (AMINER_API_KEY) and send Authorization, X-Platform (current host: claude-code / cursor / codex / openclaw; unknown if it cannot be determined), X-Skill-Name: aminer-pdf-ocr, and X-Skill-Version (this file's frontmatter version).
  • Upload code: 202 means queued, not completed. A reused upload may return code: 200; always use its returned job_id.
  • Do not use success, HTTP status, or code alone to decide success. Inspect data.status and data.is_finish.
  • preparing, queued, and running are polled. success downloads the ZIP. failed, timeout, queue_timeout, expired, and unknown stop.
  • data.queue_full is retried with bounded backoff using retry_after_seconds.
  • The temporary download URL is fetched directly without Authorization and is not saved in response.json.
  • ZIP entries are discovered by .md and _middle.json suffixes; document/ is not a protocol.

Read the full file on GitHub · 50 lines

Files

What ships with it

10 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. 8d ago Changed 4e3d603f1240
  2. 11d ago First seen · 50 lines · 110 tokens per session scan A 6f2c8dd4654f

Subscribe to this mod's changes

aminer-pdf-ocr is a skill published in the GitHub repository CanXiangCC/aminer-open-skill (60 stars, last pushed 4d ago), licensed MIT. It adds 110 tokens to every session and 935 once invoked, about $0.0006 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.

DocumentsPDF
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