Instrument Data To Allotrope
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV.
SAP-RPT-1-OSS local tabular prediction workflows for FI/CO prototype datasets.
Install Sap Rpt1
$ npx skills add secondsky/sap-skills --skill sap-rpt1 -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install secondsky/sap-skills sap-rpt1 --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/secondsky/sap-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/sap-rpt1/skills/sap-rpt1 .claude/skills/sap-rpt1 && rm -rf skills-srcUse ~/.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/
Install the "sap-rpt1" agent skill from https://github.com/secondsky/sap-skills/tree/main/plugins/sap-rpt1/skills/sap-rpt1 into .claude/skills/sap-rpt1/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sap-rpt1", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/secondsky/sap-skills/tree/main/plugins/sap-rpt1/skills/sap-rpt1Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add secondsky/sap-skills --skill sap-rpt1 -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install secondsky/sap-skills sap-rpt1 --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/secondsky/sap-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/sap-rpt1/skills/sap-rpt1 .agents/skills/sap-rpt1 && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sap-rpt1" agent skill from https://github.com/secondsky/sap-skills/tree/main/plugins/sap-rpt1/skills/sap-rpt1 into .agents/skills/sap-rpt1/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sap-rpt1", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add secondsky/sap-skills --skill sap-rpt1 -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install secondsky/sap-skills sap-rpt1 --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/secondsky/sap-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/sap-rpt1/skills/sap-rpt1 .cursor/skills/sap-rpt1 && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "sap-rpt1" agent skill from https://github.com/secondsky/sap-skills/tree/main/plugins/sap-rpt1/skills/sap-rpt1 into .cursor/skills/sap-rpt1/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sap-rpt1", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/secondsky/sap-skills.git --path plugins/sap-rpt1/skills/sap-rpt1--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add secondsky/sap-skills --skill sap-rpt1 -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install secondsky/sap-skills sap-rpt1 --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/secondsky/sap-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/sap-rpt1/skills/sap-rpt1 .gemini/skills/sap-rpt1 && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "sap-rpt1" agent skill from https://github.com/secondsky/sap-skills/tree/main/plugins/sap-rpt1/skills/sap-rpt1 into .gemini/skills/sap-rpt1/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sap-rpt1", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install secondsky/sap-skills sap-rpt1Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add secondsky/sap-skills --skill sap-rpt1 -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/secondsky/sap-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/sap-rpt1/skills/sap-rpt1 .github/skills/sap-rpt1 && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "sap-rpt1" agent skill from https://github.com/secondsky/sap-skills/tree/main/plugins/sap-rpt1/skills/sap-rpt1 into .github/skills/sap-rpt1/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sap-rpt1", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add secondsky/sap-skills --skill sap-rpt1 -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install secondsky/sap-skills sap-rpt1 --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/secondsky/sap-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/sap-rpt1/skills/sap-rpt1 .opencode/skills/sap-rpt1 && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "sap-rpt1" agent skill from https://github.com/secondsky/sap-skills/tree/main/plugins/sap-rpt1/skills/sap-rpt1 into .opencode/skills/sap-rpt1/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sap-rpt1", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
sap-rpt1- GitHub stars
- 462
- Token cost
- ~1.8k tokens
- SKILL.md length
- 822 words
- Files
- 12 (incl. scripts, references, assets)
- Skills in repo
- 41
- Repo updated
- First seen
- Licence
- GPL-3.0
At a glance
SAP-RPT-1-OSS local tabular prediction workflows for FI/CO prototype datasets.
- Works in 8 steps: Confirm the task is a local prototype… → Read references/data-governance.md… → Choose one prediction point and one… → …
- Preparing SAP finance CSV exports for classification
- SKILL.md covers When to Use This Skill, Quick Start, FI/CO Use-Case Matrix and Data Preparation Patterns, plus 6 more sections
- Runs Python scripts from its folder
What it does
Sap Rpt1 is an agent skill from secondsky/sap-skills. SAP-RPT-1-OSS local tabular prediction workflows for FI/CO prototype datasets. Use when preparing SAP finance CSV exports for classification or regression experiments with source-verified setup, leakage checks, and governance review.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files, including scripts, reference files and assets (for example `README.md`, `agents/openai.yaml` and `references/data-governance.md`).
It sits in Documents & Office, covering CSV and tabular files. It works with Python. The repository describes itself as: Production-ready plugins for SAP development with AI coding assistants — BTP, CAP, Fiori, ABAP, HANA, Analytics Cloud, Datasphere, and more. The licence is GPL-3.0.
When your agent uses it
- Preparing SAP finance CSV exports for classification
- Regression experiments with source-verified setup
- Governance review
Example prompts
- “/sap-rpt1”
Requirements
- Python 3
- Pre-approved tools (allowed-tools): Read, Bash
Workflow steps
8 steps, taken from the first numbered list in SKILL.md.
- Confirm the task is a local prototype using synthetic or approved masked FI/CO CSV data.
- Read references/data-governance.md before touching real finance data.
- Choose one prediction point and one target column. Define what was known at that point in time.
- Select the Python executable from an approved Python 3.11 environment. On Windows this might be py -3.11 or .venv\Scripts\python.exe; on…
- Use scripts/fico_data_prep.py --dry-run --input "" --target to inspect schema and leakage risks.
- Use scripts/rpt1_oss_predict.py --dry-run --input "" --target to review local SAP-RPT-1-OSS prerequisites.
- Add --encoding or --delimiter ';' when enterprise CSV exports are not UTF-8 comma-delimited.
- Run local inference only after explicit user request, Hugging Face access, license review, and an explicit output path or stdout mode.
What it can do on your machine
Read from SKILL.md and the folder at commit 652a861. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadBash
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 2 files in scripts/ (Python), which the agent can run.
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
Sap Rpt1 loads about 1.8k tokens when it runs, and up to ~5.9k if it reads all its reference files. Until then it costs about 61 tokens; SKILL.md has 822 words of instructions outside code blocks.
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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Read, Bash
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); the scripts in this folder are not scanned.
SKILL.md
The full file from secondsky/sap-skills at commit 652a861, republished under its GPL-3.0 licence (© secondsky). 822 words, ~1,838 tokens.
Download SKILL.mdSave it as
.claude/skills/sap-rpt1/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.- name
- sap-rpt1
- description
- SAP-RPT-1-OSS local tabular prediction workflows for FI/CO prototype datasets. Use when preparing SAP finance CSV exports for classification or regression experiments with source-verified setup, leakage checks, and governance review.
- allowed-tools
- Read, Bash
- license
- GPL-3.0
- metadata.maintainer
- Eduard Jiglau
- metadata.maintainer_email
- hello@sap-ai-skills.com
- metadata.website
- https://sap-ai-skills.com
- metadata.version
- 2.4.1
- metadata.model_source
- SAP/sap-rpt-1-oss
- metadata.python_version
- 3.11
- metadata.last_verified
- 2026-06-18
- metadata.requires_huggingface_login
- true
- metadata.verification_scope
- public source/model/product-page review only
SAP-RPT-1-OSS FI/CO Predictor Skill
Use SAP-RPT-1-OSS for local, source-reviewed tabular prediction experiments on FI/CO CSV extracts. Keep this skill scoped to prototype and research workflows; do not present predictions as production finance, credit, audit, payment, or compliance decisions.
When to Use This Skill
Use this skill when preparing or reviewing SAP finance tabular data for local SAP-RPT-1-OSS experiments, especially:
- FI-AR payment default or late-payment risk classification/regression.
- FI-AP cash discount leakage or payment timing risk prediction.
- FI-GL journal anomaly or unusual posting review prioritization.
- Time-safe feature preparation, target leakage checks, and governance review for FI/CO CSV datasets.
- Local SAP-RPT-1-OSS setup planning where Hugging Face access, Python 3.11, and GPU limits need to be explained before execution.
Do not use this skill as a hosted SAP-RPT API integration guide, production scoring service, SAP AI Core deployment guide, or live SAP extraction workflow.
Quick Start
- Confirm the task is a local prototype using synthetic or approved masked FI/CO CSV data.
- Read
references/data-governance.mdbefore touching real finance data. - Choose one prediction point and one target column. Define what was known at that point in time.
- Select the Python executable from an approved Python 3.11 environment. On Windows this might be
py -3.11or.venv\Scripts\python.exe; on macOS/Linux this might bepython3.11or.venv/bin/python. - Use
scripts/fico_data_prep.py --dry-run --input "<file.csv>" --target <column>to inspect schema and leakage risks. - Use
scripts/rpt1_oss_predict.py --dry-run --input "<file.csv>" --target <column>to review local SAP-RPT-1-OSS prerequisites. - Add
--encoding <encoding>or--delimiter ';'when enterprise CSV exports are not UTF-8 comma-delimited. - Run local inference only after explicit user request, Hugging Face access, license review, and an explicit output path or stdout mode.
FI/CO Use-Case Matrix
Detailed v1 recipes live in references/fico-use-cases.md.
| Area | V1 depth | Typical target | First reference |
|---|---|---|---|
| FI-AR | Detailed | paid_late, days_late, default_flag | Payment default / late payment |
| FI-AP | Detailed | discount_lost, discount_amount_lost | Cash discount leakage |
| FI-GL | Detailed | manual_review_flag, reversal_flag, outlier_flag | Journal anomaly |
| CO/PS/CO-PA/FI | Starter only | Overrun, margin, cash, dispute, credit risk | Use-case matrix rows only |
Data Preparation Patterns
Prefer source extracts already flattened to one row per prediction object, such as one invoice, one vendor invoice, one journal line, or one journal document. Rename technical SAP fields into semantic column names before inference; SAP-RPT-1-OSS uses column names and values as part of the tabular context.
Use S/4HANA starting points such as ACDOCA plus relevant master data and process extracts where available. Use ECC fallback tables only as starting points, not universal truth. Never assume table availability, field semantics, or release behavior without checking the target system.
Target Leakage Rules
Define the as-of date before selecting features. Exclude fields created or updated after that prediction point.
Common leakage examples:
- Clearing date, clearing document, payment run result, or final payment status when predicting before payment.
- Dunning, dispute, collection, write-off, or audit outcomes created after the prediction point.
- Reversal or investigation flags created after a journal posting.
- Actuals, settlements, or period-close adjustments posted after a forecast date.
Show full SKILL.md (336 more words)Show less
Governance Checklist
Before using real FI/CO data, confirm business owner approval, legal/compliance approval, field minimization, masking of personal and bank-related data, time-based validation splits, documented target definitions, and human review. Use references/data-governance.md as the minimum checklist.
Do not use predictions as the sole basis for payment blocking, credit decisions, collections action, write-offs, audit conclusions, or control sign-off.
For Windows, macOS, Linux, and managed non-admin workstations, use references/enterprise-portability.md before suggesting setup or execution commands. Prefer user-writable virtual environments, approved cache locations, quoted paths, and explicit output locations.
Bundled Resources
references/source-review-2026-06-18.md: public source/model/product-page review and open upstream issue list.references/fico-use-cases.md: detailed FI-AR, FI-AP, and FI-GL recipes plus starter matrix rows.references/data-governance.md: minimum data governance and model-card checklist.references/enterprise-portability.md: Windows, macOS, Linux, non-admin, proxy/cache, and CSV export guidance.scripts/fico_data_prep.py: read-only CSV schema, target, and leakage inspection helper.scripts/rpt1_oss_predict.py: opt-in local inference wrapper for SAP-RPT-1-OSS.assets/*.csv: synthetic FI/CO sample datasets only.
Known Issues
Treat upstream SAP-RPT-1-OSS issues as source-reviewed limitations, not fixed behavior. See references/source-review-2026-06-18.md for issue numbers and titles reviewed from SAP-samples/sap-rpt-1-oss.
Local inference can download gated model artifacts, populate local caches, require Hugging Face authentication, and require substantial memory. Commands bundled with this plugin must not run inference directly.
Source and Verification Notes
Sources reviewed: SAP-samples sap-rpt-1-oss, Hugging Face SAP/sap-rpt-1-oss, and the SAP product page for SAP-RPT.
Verification scope is public source/model/product-page review only. Live SAP tenant validation, live SAP system validation, hosted SAP-RPT API validation, local inference benchmark validation, and production finance workflow validation were not performed.
Product boundary:
- SAP-RPT-1-OSS is the local open model workflow documented here.
- Hosted SAP-RPT-1 playground is product context only and is not bundled as a client.
- SAP-RPT-1.5 is future product context from the 2026-06-18 source review and must not be described as currently available in this skill.
Related Skills
- sap-ai-core: Use for SAP AI Core deployment and runtime architecture patterns.
- sap-cloud-sdk-ai: Use for SAP Cloud SDK AI integration patterns and hosted AI service usage.
- sap-hana-ml: Use for SAP HANA-native machine learning workflows.
- sap-sqlscript: Use for SQLScript-based data extraction and feature preparation.
© secondsky, GPL-3.0. 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 11 other files (scripts, references, assets) in plugins/sap-rpt1/skills/sap-rpt1 of secondsky/sap-skills.
- SKILL.md
- README.md
- agents/openai.yaml
- assets/fico_ap_discount_leakage_sample.csv
- assets/fico_ar_payment_default_sample.csv
- assets/fico_gl_journal_anomaly_sample.csv
- references/data-governance.md
- references/enterprise-portability.md
- references/fico-use-cases.md
- references/source-review-2026-06-18.md
- scripts/fico_data_prep.py
- scripts/rpt1_oss_predict.py
Open the folder on GitHubat commit 652a861
Compare with similar skills
Sap Rpt1 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Sap Rpt1 this skillsecondsky/sap-skills | 462 | — | ~1.8k | Automated safety check: Notes | GPL-3.0 | |
| Instrument Data To Allotropeaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | 2 repos | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Replicate Paperbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~1.9k | Automated safety check: Notes | Custom licence | |
| Regression Insightrongxinzy/RongxinAI | 154 | — | ~839 | Automated safety check: Pass | MIT | |
| Meta Forest Binary Plotaipoch/medical-research-skills | 2k | — | ~2.1k | Automated safety check: Pass | MIT | |
| CSV PipelineaAAaqwq/AGI-Super-Team | 105 | 1 repos | ~3.1k | Automated safety check: Pass | MIT |
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Questions about Sap Rpt1
What does Sap Rpt1 do?
SAP-RPT-1-OSS local tabular prediction workflows for FI/CO prototype datasets. Sap Rpt1 is an agent skill from secondsky/sap-skills. SAP-RPT-1-OSS local tabular prediction workflows for FI/CO prototype datasets.
When should I use Sap Rpt1?
Sap Rpt1 fits situations like: preparing SAP finance CSV exports for classification; regression experiments with source-verified setup; governance review.
How do I install Sap Rpt1 in Claude Code?
Run `npx skills add secondsky/sap-skills --skill sap-rpt1 -a claude-code`. Or copy the skill folder (plugins/sap-rpt1/skills/sap-rpt1 in secondsky/sap-skills) into .claude/skills/sap-rpt1 in your project. Claude Code loads it when a task matches its description.
How do I install Sap Rpt1 in Codex?
Run `npx skills add secondsky/sap-skills --skill sap-rpt1 -a codex`. Or copy the skill folder (plugins/sap-rpt1/skills/sap-rpt1 in secondsky/sap-skills) into .agents/skills/sap-rpt1 in your project. Codex loads it when a task matches its description.
Can I use Sap Rpt1 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 secondsky/sap-skills --skill sap-rpt1 -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sap-rpt1, .gemini/skills/sap-rpt1, .github/skills/sap-rpt1 and .opencode/skills/sap-rpt1 in your project.
What does Sap Rpt1 need to run?
Going by SKILL.md and its folder, Sap Rpt1 needs Python for the scripts in its folder. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Bash.
Does Sap Rpt1 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 Sap Rpt1 safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Sap Rpt1 use?
Sap Rpt1 is published under the GPL-3.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Sap Rpt1 use?
About 1.8k tokens (SKILL.md is roughly 7.4k 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 4k tokens, read only when the agent opens those files.
What are the alternatives to Sap Rpt1?
Skills that share tags, products or a category with Sap Rpt1: Instrument Data To Allotrope (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars), Replicate Paper (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars), Regression Insight (rongxinzy/RongxinAI, 154 stars) and Meta Forest Binary Plot (aipoch/medical-research-skills, 2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sap Rpt1?
secondsky (a GitHub user) maintains it in secondsky/sap-skills, which has 462 GitHub stars. The repository holds 41 skills in this directory. The repository was last updated on October 5, 2026.
Source: secondsky/sap-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.