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 babamba2/superclaude-for-sap --skill program-to-specgit clone --depth 1 https://github.com/babamba2/superclaude-for-sapWrote 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/babamba2/superclaude-for-sap/program-to-spec)<a href="https://agentmods.dev/skills/babamba2/superclaude-for-sap/program-to-spec"><img src="https://agentmods.dev/badge/skills/babamba2/superclaude-for-sap/program-to-spec.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 5 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00044 | $0.03394 |
| Opus 5 | $0.00022 | $0.01697 |
| Sonnet 5 | $0.00009 | $0.00679 |
| Haiku 4.5 | $0.00004 | $0.00339 |
Grade A, and why
sc4sap:program-to-spec 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SC4SAP Program → Specification
Reads an existing ABAP program (Report / Module Pool / FM Group / Class / CDS / RAP) via MCP, runs structural + semantic + where-used analysis, then produces a Specification artifact in Markdown (.md) or Excel (.xlsx) format. Scope is negotiated Socratically — start wide, narrow on each turn, stop when the user's target granularity is confirmed.
<Response_Prefix>Every response triggered by this skill MUST begin with [Model: <main-model> · Dispatched: <sub-summary>] per ../../common/model-routing-rule.md § Response Prefix Convention.</Response_Prefix>
<Phase_Banner>Multi-phase skill. Before each Agent(...) dispatch, emit ▶ phase=<id> (<label>) · agent=<name> · model=<Opus 4.7|Sonnet 4.6|Haiku 4.5> per ../../common/model-routing-rule.md § Phase Banner Convention.</Phase_Banner>
<Team_Mode>No teamMode integration. program-to-spec targets a single object (one program / class / FM group / CDS / RAP BO) and performs read-only structural extraction — no cross-module synthesis, no authoring conflict, no incident triage. See ../../docs/team-consultation-architecture.md § 6 gating logic. Future extension: if a target's GetWhereUsed graph spans ≥ 2 modules AND user picks L4 depth, Type A (module consultants annotating cross-module concerns in Step 3) could be added — not in current scope.</Team_Mode>
<Use_When>
- User says "program to spec", "reverse engineer", "make a spec", "document this program", "functional specification", "technical specification", "generate a specification"
- Knowledge transfer / handover of legacy ABAP to another team
- Preparing a refactoring or rewrite (need to capture as-is behavior)
- Compliance / audit requires a written spec for custom code
- Building a WRICEF inventory with detailed per-object specs </Use_When>
<Do_Not_Use_When>
- User wants a code quality review →
/sc4sap:analyze-code - User wants to create a new program from a spec →
/sc4sap:create-program - User wants to fix the program → direct MCP
Update*calls or re-run/sc4sap:create-program - Object does not exist yet </Do_Not_Use_When>
<Session_Trust_Bootstrap> MANDATORY — runs as Step 0a before any MCP call or user interaction.
Invoke /sc4sap:trust-session with parent_skill=sc4sap:program-to-spec to pre-grant MCP tool + file-op permissions (eliminates per-tool prompts during structural reads + screen rendering pipeline).
- If
.sc4sap/session-trust.logalready has a line within the last 24h, skip silently. - Otherwise run it and surface the one-line confirmation.
- All
Agentdispatches within this skill MUST passmode: "dontAsk".
Full spec: see ../trust-session/SKILL.md.
</Session_Trust_Bootstrap>
<Socratic_Scope_Narrowing> The interview is a funnel: every turn reduces the remaining decision space. Score remaining ambiguity 0–10 after each answer; stop when ≤3.
Default opener — bundled 4-question AskUserQuestion (MANDATORY when the target object is already supplied in ARGUMENTS):
Issue ONE AskUserQuestion call with these four questions in this exact order — Audience / Format / Depth / Language — each a single-select with "(Recommended)" as the first option. This replaces Rounds 2+3+5 in one UI turn. Only fall back to per-round questioning when the object itself is missing or ambiguous (Round 1) or when the user picks L3/L4 (Round 4 scope trimming).
| # | Header | Question | Options (Recommended first) |
|---|---|---|---|
| 1 | Audience | Who is the primary audience for the spec? | Both (Recommended) · Functional · Technical |
| 2 | Format | Which output format? | Markdown (Recommended) · Excel · Both |
| 3 | Depth | What depth of detail? | L2 Standard (Recommended) · L1 Quick Spec · L3 Deep Technical · L4 Audit-grade |
| 4 | Language | Output language? | Korean · English · Japanese (order follows user's current language — promote the matching one to first with "(Recommended)") |
What ships with it
2 files 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.
- 8d ago First seen · 182 lines · 44 tokens per session scan A 2fc1f978795a
sc4sap:program-to-spec is a skill published in the GitHub repository babamba2/superclaude-for-sap (53 stars, last pushed 15d ago), licensed MIT. It adds 44 tokens to every session and 3,394 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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