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shrek-abaper/sap-engineering-skill/skills/sap-transport-gate/SKILL.md

sap-transport-gate

Use for SAP Transport Request pre-release gate review (QAS/PRD). Triggers on any TR number in input (pattern: uppercase letters + K + 6 digits, e.g., DEVK900123, ECDK943668). Asks user: code-quality-only or functional+code review. Performs 10-dimension risk review of ABAP/CDS/DDIC source, object list, dependencies, spec, and release evidence; detects evidence gaps; generates Release Readiness Report with GO / CONDITIONAL_GO / NO_GO / NEED_MORE_EVIDENCE. Also triggers for: "can this TR go to prod

Source repository stars
33
Declared platforms
0
Static risk flags
3
Last source update
2026-08-17
Source checked
2026-08-28

Decision brief

What it does: where it fits

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.

Best for

    Not for

    • Tasks that require unconfirmed production actions or broad system permissions.
    • Environments where the pinned source and install steps cannot be inspected.

    Compatibility matrix

    Platform support, with evidence labels

    PlatformStatusEvidenceWhat to check
    CodexNot declaredNo explicit evidencePortability before use
    Claude CodeNot declaredNo explicit evidencePortability before use
    CursorNot declaredNo explicit evidencePortability before use
    Gemini CLINot declaredNo explicit evidencePortability before use
    Open the compatibility checker

    Installation

    Inspect first. Install second.

    The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

    Source-detected install commandSource
    npx skills add https://github.com/shrek-abaper/sap-engineering-skill --skill "skills/sap-transport-gate"
    Safe inspection promptEditorial

    Inspect the Agent Skill "sap-transport-gate" from https://github.com/shrek-abaper/sap-engineering-skill/blob/10c0fd4a0576e8fdc295fc03e84c5e5ea8bd5024/skills/sap-transport-gate/SKILL.md at commit 10c0fd4a0576e8fdc295fc03e84c5e5ea8bd5024. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

    Workflow

    What the source asks the agent to do

    1. 01

      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 checks
    2. 02

      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).

      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).The TR ID is required for the report filename, the Executive Decision header, the Appendix object list, and audit traceability.
    3. 03

      Step 1 — Identify Review Mode

      Determine the review mode from the input. Full rules in references/review-modes.md §1.

      Check credential availability — inspect .env in the skill directory, /.sap-transport-gate/config.json, and process environment variables for SAPURL, SAPUSERNAME, SAPPASSWORD, SAPCLIENT.Credentials found → run trcollector.py collect automatically:Collection succeeds → proceed as Offline Package Mode with the collected package at reports/{TRID}package/. Do NOT ask the user to run the script.
    4. 04

      Step 1.5 — Review Scope Selection

      Human confirmation required before proceeding.

      Exclude Dimension 8 (Functional Alignment) from the review. Mark it as N/A — excluded by user choice.Proceed to Step 2.Check whether a functional specification or requirements document is present in the provided materials.
    5. 05

      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.

      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:For each category, mark: Present / Partial / Missing.

    Permission review

    Static risk signals and limitations

    Reads files

    low · line 78

    The documentation asks the agent to read local files, directories, or repositories.

    **Check credential availability** — inspect `.env` in the skill directory, `~/.sap-transport-gate/config.json`, and process environment variables for `SAP_URL`, `SAP_USERNAME`, `SAP_PASSWORD`, `SAP_CLIENT`.

    Runs scripts

    medium · line 84

    The documentation asks the agent to run terminal commands or scripts.

    python3 scripts/tr_collector.py collect {TR_ID} --output-dir reports/{TR_ID}_package/ --verbose

    Runs scripts

    medium · line 87

    The documentation asks the agent to run terminal commands or scripts.

    **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.

    Writes files

    medium · line 334

    The documentation asks the agent to create, modify, or delete local files.

    Create the target directory automatically. Never ask the user to create it manually.

    Evidence record

    Why each signal appears

    EvidenceSourceComputedTestedEditorial
    SignalValueEvidence typeMeaning
    Quality score92/100ComputedDocumentation, specificity, maintenance, and trust rules
    Repository stars33SourceRepository attention, not individual Skill quality
    Compatibility0 platformsSourceDeclared in the catalog source record
    Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

    Pinned source

    Provenance and original SKILL.md

    Repository
    shrek-abaper/sap-engineering-skill
    Skill path
    skills/sap-transport-gate/SKILL.md
    Commit
    10c0fd4a0576e8fdc295fc03e84c5e5ea8bd5024
    License
    MIT
    Collected
    2026-08-28
    Default branch
    main
    View the original SKILL.md

    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 / CONDITIONAL_GO / NO_GO / NEED_MORE_EVIDENCE 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)

    ConstraintRule
    No SAP loginNever request or accept SAP passwords, connection strings, or session tokens
    No transport executionNever trigger transport release, import, delete, or rollback
    No evidence fabricationNo assumption that unread objects are safe; no invented test results
    Evidence Level LOW → no GOIf Evidence Level is LOW, the decision must be NEED_MORE_EVIDENCE or NO_GO — never GO
    Single-file ≠ full TR reviewA single ABAP file does not constitute a Transport Request-level release review
    Missing spec → Inferred onlyWithout 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:

    1. references/review-modes.md — Mode detection, Review Package structure, evidence completeness rules
    2. references/decision-policy.md — Evidence Level rules, Finding taxonomy, Release Decision Policy
    3. references/review-dimensions.md — 10 review dimensions with detailed checks
    4. references/report-format.md — Markdown report template and JSON schema
    5. references/abap-security-rules.md — Full SEC-_ and AUTH-_ security rule library (load for Dimension 3 and 4)
    6. 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 HIGH or CRITICAL finding 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).

    CaseAction
    TR ID found in inputRecord it as {TR_ID}. Use it in the report filename, header, and all references throughout this review.
    User provides a Review Package directoryExtract TR ID from manifest.jsonmeta.tr_id field.
    No TR ID found but review was requestedAsk: "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 existsDeclare 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.

    SignalMode
    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 toolsOnline 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:

    1. Check credential availability — inspect .env in the skill directory, ~/.sap-transport-gate/config.json, and process environment variables for SAP_URL, SAP_USERNAME, SAP_PASSWORD, SAP_CLIENT.

    2. Credentials found → run tr_collector.py collect automatically:

      Using available shell execution tools (e.g., Bash), run:

      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.

    3. 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.

    4. 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:

      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 provided per the Hard Constraint.
      • Record an EVIDENCE_GAP finding with severity HIGH for 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:

    CategoryItems
    TR IdentityTransport Request ID, type, owner, source system, target stage, creation time
    Object ListObject type, name, package, changed-by, source file path for each object
    Source CodeABAP programs, classes, function groups, includes, CDS views, DDIC definitions
    DependenciesIntra-TR, extra-TR, table, interface, authorization-object dependencies
    MetadataTable / CDS / authorization / interface / customizing metadata
    Functional MaterialFunctional spec, requirement note, test note
    Release EvidenceSyntax 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.

    LevelMeaning
    HIGHTR objects, source, dependencies, functional spec, syntax/activation status, and test evidence are substantially complete
    MEDIUMKey evidence is largely complete but some items are missing (e.g., test evidence incomplete or dependencies partial)
    LOWOnly source fragments, incomplete object list, missing functional spec, or missing release-critical evidence
    UNKNOWNInput materials are unstructured, unreadable, or scope cannot be determined

    Decision gates by Evidence Level:

    • UNKNOWN → immediately output NEED_MORE_EVIDENCE; do not proceed with dimensional review
    • LOW → proceed with dimensional review, but the final decision must be NEED_MORE_EVIDENCE or NO_GO; GO and CONDITIONAL_GO are 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.

    #DimensionFocus
    1Code QualityNaming, maintainability, exception handling, duplication, hardcoding, complexity
    2PerformanceSELECT IN LOOP, full table scan, missing key condition, inefficient internal table ops
    3SecurityDynamic SQL, dangerous functions, external calls, sensitive data exposure, unvalidated input
    4AuthorizationAUTHORITY-CHECK coverage, auth object correctness, privilege escalation paths, bypass patterns
    5Transaction ConsistencyCOMMIT/ROLLBACK placement, BAPI commit, LUW integrity, update consistency
    6Integration ImpactRFC, IDoc, OData, HTTP, BAPI, file interfaces — impact on external systems
    7Transport CompletenessObject list completeness, missing extra-TR dependencies, DDIC/CDS/config dependencies
    8Functional AlignmentCode vs. functional spec — business rules, boundary conditions, exception flows
    9Release ReadinessSyntax check status, activation status, test evidence, rollback plan, pre-conditions
    10Evidence GapMissing 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_GAP
    • severityINFO / LOW / MEDIUM / HIGH / CRITICAL
    • confidenceHIGH (direct evidence) / MEDIUM (indirect evidence) / LOW (inferred)
    • object — affected object name
    • location — file, line, or section reference
    • evidence — real code snippet or material excerpt (max 15 lines); never fabricated
    • reasoning — why this is a risk
    • impact — what can go wrong if unaddressed
    • recommendation — specific, actionable fix
    • requires_human_confirmationtrue / false

    Severity calibration (abbreviated; full rules in references/decision-policy.md §2.2):

    • CRITICAL: severe data loss, security breach, production outage, unrecoverable release risk
    • HIGH: significant function failure, major performance degradation, missing critical dependency, release blocker
    • MEDIUM: clear risk, mitigable by fix or human confirmation
    • LOW: code quality or maintainability, does not directly block release
    • INFO: 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.

    DecisionMeaning
    GONo blocking findings; evidence sufficient; safe to proceed
    CONDITIONAL_GOProceed only after completing specified fixes or human confirmations
    NO_GOSerious risk present; do not release
    NEED_MORE_EVIDENCEInsufficient evidence for a reliable judgment

    Decision priority (highest wins):

    NO_GO               ← CRITICAL risk or severe unmitigated HIGH risk
    NEED_MORE_EVIDENCE  ← Evidence too thin for reliable judgment
    CONDITIONAL_GO      ← Risk exists but mitigable before release
    GO                  ← Sufficient evidence, no blocking risk
    

    Non-negotiable rules:

    1. Evidence Level LOWGO and CONDITIONAL_GO are forbidden
    2. Evidence Level UNKNOWN → always NEED_MORE_EVIDENCE
    3. Any CRITICAL SECURITY / AUTHORIZATION / TRANSACTION_CONSISTENCY finding → NO_GO
    4. If CRITICAL risk and evidence gap coexist → NO_GO; list evidence gap as additional risk

    Step 7 — Generate Reports

    Generate both outputs. Templates in references/report-format.md.

    Markdown Report (primary)

    Structure:

    1. Executive Decision (Decision, Evidence Level, Overall Risk, Target Stage, TR ID, Review Mode, Rule Pack)
    2. Scope Reviewed (what was reviewed, what was not)
    3. Evidence Summary (present / missing / restricted)
    4. Key Findings (by severity)
    5. Review by Dimension (all active dimensions; Dimension 8 marked N/A if user selected Code Quality Review)
    6. Required Actions Before Release
    7. Human Confirmation Checklist
    8. Decision Rationale
    9. Appendix:
      • §9.1 Object List Summary (mandatory) — every TR object listed by type, name, and whether its source was reviewed
      • §9.2 Evidence References
      • §9.3 Assumptions
      • §9.4 Limitations and Unreviewed Scope
      • §9.5 Sign-off Table

    Report rules:

    • Every high-risk finding must have a recommendation
    • Every evidence gap must explain its impact on the decision
    • All inferred conclusions must be labeled [Inferred] or [Needs confirmation]
    • Never write "looks fine" or "seems OK" without citing evidence
    • Report language: English

    File naming: TR_REVIEW_{TR_ID}_{YYYYMMDD}.md
    When NO_GO: prefix NOGO_TR_REVIEW_{TR_ID}_{YYYYMMDD}.md
    When NEED_MORE_EVIDENCE: prefix NME_TR_REVIEW_{TR_ID}_{YYYYMMDD}.md
    Full naming table in references/report-format.md §3.

    Save location — always use a TR-specific subdirectory:

    Always save reports to reports/{TR_ID}_package/ regardless of review mode. Never save directly to reports/.

    ModeDirectory creation
    Online Transport Modetr_collector.py collect --output-dir reports/{TR_ID}_package/ creates the directory automatically. Reports are saved inside it alongside manifest.json and sources/.
    Offline Package ModeIf the user provided a package at a different path, save reports to that path. If no path was specified, create reports/{TR_ID}_package/ and save there.
    Offline Local ModeCreate reports/{TR_ID}_package/ even if no manifest exists. Save all reports and any user-provided evidence files there.

    Create the target directory automatically. Never ask the user to create it manually.

    JSON Summary (secondary)

    For CI pipelines, dashboards, and audit archives. Schema in references/report-format.md §2.


    References Index

    FileWhen to read
    references/review-modes.mdMode detection, Review Package structure, evidence checklists
    references/review-dimensions.mdDetailed check items per dimension
    references/decision-policy.mdEvidence Level rules, Finding schema, Release Decision Policy
    references/report-format.mdMarkdown report template, JSON schema
    references/abap-security-rules.mdSEC-_ and AUTH-_ security rule library (Dimensions 3 & 4)
    references/abap-quality-rules.mdClean ABAP quality rules (Dimensions 1 & 2)
    references/abap-report-template.mdStructured Markdown report template for individual object reviews
    references/sap-connectivity.mdSAP ADT auth, TR extraction CLI, credential setup (Online Transport Mode)
    references/human-loop.mdWho confirms what, when, based on what evidence
    references/regression-tests.mdBad cases, regression assertions, eval cases

    Frequently asked questions

    What to verify before installation and use

    What does the sap-transport-gate source document cover?

    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.

    How do I install sap-transport-gate?

    The source record exposes this install command: npx skills add https://github.com/shrek-abaper/sap-engineering-skill --skill "skills/sap-transport-gate". Inspect the command and pinned source before running it.

    Which permission-related actions were detected?

    Static rules flagged read-files, exec-script, write-files in the source; the page lists the matching lines and excerpts.

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