Journal Table Total Recheck
Check whether the amounts in your supplied tables agree.
Academic submission checks
US$11View skill
Submission File Version Manifest
Check that the files listed in your file folder and final-version register are present.
A downloadable skill for your AI agent.
Your result
Ambiguous submission versions.
Source references, missing information, and questions to review stay with the findings.
How to use it
Add the skill to your AI
Open your download and follow the start guide. Use an AI agent that can load skill files and run the included tools.
Provide your records
File folder and final-version register. Confirm the case and period you want to check.
Ask for the report
Copy the request below into your agent. Add the files and any task details it needs.
Review and save
Check the findings against the original records. Choose where to save the report and follow up on open questions.
Example request
Use the Submission File Version Manifest skill. Review the attached records: file folder and final-version register. Prepare this result: ambiguous submission versions. Include a source reference for each finding. List missing information and questions that need my review. Ask me to confirm the scope and where to save the report before you start.
What it checks
It compares the attachment list with the files in your chosen folder. It reports missing files and checks file fingerprints when you supply them.
What you provide
File folder and final-version register.
Details it records
- Approved revision
- Supplied path
- Hash
Read the full task logic
For this task, keep one review row for each submission item + file. Record approved revision, supplied path, and hash. Keep the source location beside each value.
Compare the submitted files with the supplied journal requirements and author-approved metadata. Link each reported number or declaration to its source.
Formatting and arithmetic checks do not establish research validity. Mark unverified author claims and preserve unresolved reviewer comments.
A hash or non-empty file does not prove PDF, image, Office, audio, video, or archive validity. Use an available format-specific tool and record its result separately. The helper labels format validation as not performed.
Example result
This synthetic example shows the included check in use. Your agent uses its findings to complete your task report.
What you provide
Synthetic example records
| Sample record | path: missing.txt |
|---|
What comes back
A difference needs review
- A required file is missing from the supplied folder.
This result comes from the checking tool in your download.
Read the source records
These are synthetic records from the bundled example.
- source-r1 ยท records/r1
{"id": "r1", "key": "submission item + file / SYNTHETIC-001", "path": "missing.txt", "sha256": "8ac3f2abe47c6058d082c513928b1f40f4eb82a841e5c09c159c03ea3ff5d9d6"}
Run this example
After purchase, extract the ZIP. Run these commands from the skill folder. Use a new output folder.
python3 scripts/checks.py
python3 scripts/audit.py assets/example.json \
--files-root assets/sample-files --output-dir example-resultExpected exit code: 1. Code 0 means no helper finding. Code 1 means a finding or review item. Code 2 means incomplete or invalid input.
The check uses the records you supply. Review each finding against the original documents.
What is saved
Ask your agent to save the completed task report in a folder you choose. The report template includes the result, source references, missing information, and next actions.
- A readable check report
- The local checking tool can save its findings as report.md.
- A data copy
- The same check can be saved as report.json for use in other tools. A local audit database is optional.
Tonotes does not receive your work documents through this website. Documents you share with an AI service follow that service's storage settings.
Your download
US$11 includes one skill in a ZIP with 18 files. You receive the instructions and tools to run the task with your own records.
- A start guide to help you set up the skill.
- Task instructions that tell your AI what to check.
- Checking tools with worked examples.
- A report template with space for evidence and next actions.
Setup and file details
Use an agent that supports SKILL.md instructions and Python 3.10 or later with SQLite. Your AI-agent service is separate.
- Start guide: 1 file
- START-HERE.md explains setup and the expected example result.
- Agent instructions: 1 file
- SKILL.md defines this task and its completion checks.
- Task references: 4 files
- The task guide, input contract, tools guide, and research notes.
- Python tools: 4 files
- Check records, convert CSV input, and run the local checks.
- Examples and templates: 8 files
- The input schema, synthetic cases, expected report, and report template.
Collect the records
Start with file folder and final-version register. Confirm the case, period, and source versions before the review.
Extract the task fields
Use manuscript version, journal rule version, figure/table/reference ID to keep records distinct. The agent records the original value, an exact quote, and the source location.
Check the file inventory
Check listed files inside the chosen folder and compare supplied hashes where present. Run the Python helper on the structured records. Check each finding against its source.
Complete the report
Prepare the task result: ambiguous submission versions. Include missing evidence, unresolved questions, and the next action for each open item.
Eight synthetic cases check the tool locally. Live-agent accuracy on real documents has not been tested.