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.
npx skills add Zhang-Henry/CoEvoSkills --skill evo-receipt-ocrgit clone --depth 1 https://github.com/Zhang-Henry/CoEvoSkillsWrote 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.
[](https://agentmods.dev/skills/zhang-henry/coevoskills/evo-receipt-ocr)<a href="https://agentmods.dev/skills/zhang-henry/coevoskills/evo-receipt-ocr"><img src="https://agentmods.dev/badge/skills/zhang-henry/coevoskills/evo-receipt-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.
<a href="https://agentmods.dev/skills/zhang-henry/coevoskills/evo-receipt-ocr"><img src="https://agentmods.dev/badge/skills/zhang-henry/coevoskills/evo-receipt-ocr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 5.1 | $0.00034 | $0.00251 |
| Opus 5 | $0.00017 | $0.00125 |
| Sonnet 5 | $0.00007 | $0.00050 |
| Haiku 4.5 | $0.00003 | $0.00025 |
Grade A, and why
evo-receipt-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 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.
What it actually says
Receipt OCR Extraction Skill
Extracts dates and total monetary amounts from scanned receipt images using Tesseract OCR.
Usage
import sys
sys.path.insert(0, '/app/environment/skills/evo-receipt-ocr/scripts')
from utils import process_all_receipts, validate_output
# Process all receipts
results = process_all_receipts('/app/workspace/dataset/img', '/app/workspace/stat_ocr.xlsx')
# Validate output
validate_output('/app/workspace/stat_ocr.xlsx')
Key Functions
preprocess_image(img)- Apply multiple preprocessing strategiesocr_image(image_path)- Run OCR with multiple configsextract_date(texts)- Extract date in ISO formatextract_total_amount(texts)- Extract total using keyword priorityprocess_receipt(image_path)- Process single receiptprocess_all_receipts(image_dir, output_path)- End-to-end pipelinevalidate_output(output_path)- Validate Excel output
What ships with it
1 file 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.
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.
- 12d ago First seen · 33 lines · 34 tokens per session scan A 868afe2e4830
evo-receipt-ocr is a skill published in the GitHub repository Zhang-Henry/CoEvoSkills (66 stars, last pushed 22d ago), licensed Apache-2.0. It adds 34 tokens to every session and 251 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.
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