Install
$ agentstack add skill-shrek-abaper-sap-engineering-skill-sap-transport-gate ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ● Environment & secrets Used
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
SAP Transport Gate Skill
AI-assisted pre-release review for SAP Transport Requests. Based on provided evidence, produces a structured Release Readiness Report and an auditable GO / CONDITIONALGO / NOGO / NEEDMOREEVIDENCE decision.
Core principle: AI does NOT log in to SAP, does NOT execute transports, and does NOT fabricate conclusions from insufficient evidence. Every finding must trace to real evidence. Every gap must be declared.
Hard Constraints (enforce at all times)
| Constraint | Rule | | ---------------------------- | --------------------------------------------------------------------------------------------- | | No SAP login | Never request or accept SAP passwords, connection strings, or session tokens | | No transport execution | Never trigger transport release, import, delete, or rollback | | No evidence fabrication | No assumption that unread objects are safe; no invented test results | | Evidence Level LOW → no GO | If Evidence Level is LOW, the decision must be NEED_MORE_EVIDENCE or NO_GO — never GO | | Single-file ≠ full TR review | A single ABAP file does not constitute a Transport Request-level release review | | Missing spec → Inferred only | Without a functional specification, Functional Alignment must be labeled Inferred / Limited |
Violations of these constraints invalidate the review output. Check them before generating any decision.
Step 0 — Load References
Before reading user-provided materials, load the following references in order:
references/review-modes.md— Mode detection, Review Package structure, evidence completeness rulesreferences/decision-policy.md— Evidence Level rules, Finding taxonomy, Release Decision Policyreferences/review-dimensions.md— 10 review dimensions with detailed checksreferences/report-format.md— Markdown report template and JSON schemareferences/abap-security-rules.md— Full SEC- and AUTH- security rule library (load for Dimension 3 and 4)references/abap-quality-rules.md— Full Clean ABAP quality rule library (load for Dimension 1 and 2)
Load references/sap-connectivity.md when:
- Review mode is Online Transport Mode (TR ID provided, no pre-exported package)
Load references/human-loop.md when:
- Target stage is
PRD - Any
HIGHorCRITICALfinding is present - Functional Alignment depends on business interpretation
Load references/regression-tests.md only if asked to run regression checks or build eval cases.
Step 0.5 — Extract Transport Request ID
Scan the user's input for a Transport Request ID before proceeding. TR IDs follow the pattern: 3–4 uppercase letters + K + 6 digits (e.g., DEVK900123, ECDK943668, NPLK000045).
| Case | Action | | ---------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------- | | TR ID found in input | Record it as {TR_ID}. Use it in the report filename, header, and all references throughout this review. | | User provides a Review Package directory | Extract TR ID from manifest.json → meta.tr_id field. | | No TR ID found but review was requested | Ask: "Please provide the Transport Request ID (e.g., DEVK900123) to begin the review." Do not proceed until a TR ID is supplied. | | User confirms no TR ID exists | Declare scope as Partial / No TR Identity. Evidence Level is capped at LOW. Proceed only to produce a NEED_MORE_EVIDENCE report. |
The TR ID is required for the report filename, the Executive Decision header, the Appendix object list, and audit traceability.
Step 1 — Identify Review Mode
Determine the review mode from the input. Full rules in references/review-modes.md §1.
| Signal | Mode | | -------------------------------------------------------------------------------------------- | --------------------- | | User provides a standard Review Package (manifest + object list + sources + evidence) | Offline Package Mode | | User provides only source files or partial materials (no manifest, no full TR context) | Offline Local Mode | | User provides a Transport Request ID and CLI output or live system access via internal tools | Online Transport Mode |
Online Transport Mode — Proactive Collection Protocol:
When a TR ID is identified and no pre-assembled package exists, the SKILL must proactively attempt collection rather than waiting for the user to provide materials. Execute the following in order:
- Check credential availability — inspect
.envin the skill directory,~/.sap-transport-gate/config.json, and process environment variables forSAP_URL,SAP_USERNAME,SAP_PASSWORD,SAP_CLIENT.
- Credentials found → run
tr_collector.py collectautomatically:
Using available shell execution tools (e.g., Bash), run: ``bash python3 scripts/tr_collector.py collect {TR_ID} --output-dir reports/{TR_ID}_package/ --verbose ``
- Collection succeeds → proceed as Offline Package Mode with the collected package at
reports/{TR_ID}_package/. Do NOT ask the user to run the script. - Collection fails (HTTP 401, 403, connection refused, SSL error, timeout):
> "SAP connection failed: {error}. Proceeding with Offline Local Mode. See references/sap-connectivity.md §11 for the step-by-step manual export guide if you want a complete evidence package."
Reclassify to Offline Local Mode and continue.
- Credentials not configured — no
.env, no config file, no env vars:
> "No SAP credentials found. Proceeding with Offline Local Mode using materials already provided. > > To enable automatic TR collection in future reviews, configure credentials via: > - Option A: Copy .env.example to .env and fill in SAP_URL, SAP_USERNAME, SAP_PASSWORD, SAP_CLIENT. > - Option B: Run python3 scripts/tr_collector.py configure for interactive setup, then python3 scripts/tr_collector.py ping to verify."
Reclassify to Offline Local Mode and continue.
- Shell execution not available — if the AI agent has no shell/bash capability:
> "Shell execution is not available in this environment. To use automatic collection, run: > ``bash > python3 scripts/tr_collector.py collect {TR_ID} --output-dir reports/{TR_ID}_package/ --verbose > `` > Once the package is ready, provide the path and I will proceed as Offline Package Mode. Or confirm you cannot run it to proceed now with Offline Local Mode."
Wait for user response before continuing. Do NOT fabricate materials.
When falling back to Offline Local Mode at any point, reclassify mode, declare the fallback reason in the report, and continue.
Offline Package Mode is the preferred and most complete mode. Always declare the mode at the top of the report.
If mode cannot be determined from the input, ask the user one clarifying question before proceeding.
Step 1.5 — Review Scope Selection
Human confirmation required before proceeding.
Ask the user:
> "I'll be reviewing Transport Request {TR_ID}. > > Which review scope do you need? > > (A) Code Quality Review — Covers: code quality, performance, security, authorization, transaction consistency, integration impact, transport completeness, release readiness, and evidence gaps. Assesses whether the code is well-written and safe to release. Does not evaluate whether the implementation matches business requirements. > > (B) Functional + Code Quality Review — All of the above, plus Functional Alignment (Dimension 8): verifies that the code correctly implements the stated business requirements. Requires a functional specification or requirements document. > > Which scope? (A or B)"
If user selects (A) — Code Quality Review:
- Exclude Dimension 8 (Functional Alignment) from the review. Mark it as
N/A — excluded by user choice. - Proceed to Step 2.
If user selects (B) — Functional + Code Quality Review:
- Check whether a functional specification or requirements document is present in the provided materials.
- Spec is present → proceed to Step 2 with all 10 dimensions active.
- Spec is absent → do not start the review. Prompt:
> "Functional + Code Quality Review requires a functional specification. Please provide one of: > > - A functional spec document (Markdown, Word, PDF, or plain text) > - A requirements ticket, Jira issue, or user story > - A change request or design document > > Once provided, I will include Dimension 8 (Functional Alignment) in the review."
If the user confirms no spec exists but still wants a Functional + Code Quality review:
- Proceed with all 10 dimensions.
- Set Dimension 8 outcome to
Inferred / Limited — no spec providedper the Hard Constraint. - Record an
EVIDENCE_GAPfinding with severityHIGHfor the missing functional specification. - This gap will restrict Evidence Level and the final decision.
Step 2 — Evidence Intake and Completeness Check
Inventory all materials provided by the user. Required evidence varies by mode — see references/review-modes.md §2 for full checklists.
Quick reference — evidence categories:
| Category | Items | | ------------------- | -------------------------------------------------------------------------------- | | TR Identity | Transport Request ID, type, owner, source system, target stage, creation time | | Object List | Object type, name, package, changed-by, source file path for each object | | Source Code | ABAP programs, classes, function groups, includes, CDS views, DDIC definitions | | Dependencies | Intra-TR, extra-TR, table, interface, authorization-object dependencies | | Metadata | Table / CDS / authorization / interface / customizing metadata | | Functional Material | Functional spec, requirement note, test note | | Release Evidence | Syntax check result, activation status, unit/manual test results, collection log |
For each category, mark: Present / Partial / Missing.
Missing evidence does not stop the review — it restricts what can be concluded. Every missing item must be flagged as an EVIDENCE_GAP finding.
Step 3 — Evidence Level
Determine Evidence Level before beginning dimensional review. Full rules in references/decision-policy.md §1.
| Level | Meaning | | --------- | ------------------------------------------------------------------------------------------------------------------------- | | HIGH | TR objects, source, dependencies, functional spec, syntax/activation status, and test evidence are substantially complete | | MEDIUM | Key evidence is largely complete but some items are missing (e.g., test evidence incomplete or dependencies partial) | | LOW | Only source fragments, incomplete object list, missing functional spec, or missing release-critical evidence | | UNKNOWN | Input materials are unstructured, unreadable, or scope cannot be determined |
Decision gates by Evidence Level:
UNKNOWN→ immediately outputNEED_MORE_EVIDENCE; do not proceed with dimensional reviewLOW→ proceed with dimensional review, but the final decision must beNEED_MORE_EVIDENCEorNO_GO;GOandCONDITIONAL_GOare forbidden
Step 4 — Multi-Dimension Review
Complete all 10 dimensions below. Never skip a dimension — if nothing was found, state "No issues found."
Full detail for each dimension in references/review-dimensions.md.
| # | Dimension | Focus | | --- | ----------------------- | ---------------------------------------------------------------------------------------------- | | 1 | Code Quality | Naming, maintainability, exception handling, duplication, hardcoding, complexity | | 2 | Performance | SELECT IN LOOP, full table scan, missing key condition, inefficient internal table ops | | 3 | Security | Dynamic SQL, dangerous functions, external calls, sensitive data exposure, unvalidated input | | 4 | Authorization | AUTHORITY-CHECK coverage, auth object correctness, privilege escalation paths, bypass patterns | | 5 | Transaction Consistency | COMMIT/ROLLBACK placement, BAPI commit, LUW integrity, update consistency | | 6 | Integration Impact | RFC, IDoc, OData, HTTP, BAPI, file interfaces — impact on external systems | | 7 | Transport Completeness | Object list completeness, missing extra-TR dependencies, DDIC/CDS/config dependencies | | 8 | Functional Alignment | Code vs. functional spec — business rules, boundary conditions, exception flows | | 9 | Release Readiness | Syntax check status, activation status, test evidence, rollback plan, pre-conditions | | 10 | Evidence Gap | Missing materials, unverifiable assumptions, items requiring human confirmation |
For Functional Alignment: skip if no functional spec is provided and label as Inferred / Limited — no spec provided. Do not infer requirements independently.
For Evidence Gap: always produce at least one finding per missing evidence category.
Step 5 — Findings
Each finding must include all fields. Full schema in references/decision-policy.md §2.
Required fields per finding:
id— unique identifier within this review (e.g.,F-001)type— one of:CODE_QUALITY,PERFORMANCE,SECURITY,AUTHORIZATION,TRANSACTION_CONSISTENCY,INTEGRATION_IMPACT,TRANSPORT_COMPLETENESS,FUNCTIONAL_ALIGNMENT,RELEASE_READINESS,EVIDENCE_GAPseverity—INFO/LOW/MEDIUM/HIGH/CRITICALconfidence—HIGH(direct evidence) /MEDIUM(indirect evidence) /LOW(inferred)object— affected object namelocation— file, line, or section referenceevidence— real code snippet or material excerpt (max 15 lines); never fabricatedreasoning— why this is a riskimpact— what can go wrong if unaddressedrecommendation— specific, actionable fixrequires_human_confirmation—true/false
Severity calibration (abbreviated; full rules in references/decision-policy.md §2.2):
CRITICAL: severe data loss, security breach, production outage, unrecoverable release riskHIGH: significant function failure, major performance degradation, missing critical dependency, release blockerMEDIUM: clear risk, mitigable by fix or human confirmationLOW: code quality or maintainability, does not directly block releaseINFO: advisory, informational
When severity is uncertain, choose the higher level.
Step 6 — Release Decision
Derive a single decision from Evidence Level + Findings. Full policy in references/decision-policy.md §3.
| Decision
…
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: shrek-abaper
- Source: shrek-abaper/sap-engineering-skill
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.