abap-deepcheck

abap-deepcheck is an agent for Claude Code from Gixsy95/abap_wiki. It costs 100 tokens per session (3,102 once invoked), scanned A, original, MIT.

An independent reviewer for analyses of ABAP code, SAP's programming language. It checks whether written claims are supported by cited code lines and whether listed dependencies are real uses in the code.

In plain words
What is it for?
Verifying ABAP code-analysis reports before they are accepted, especially their evidence and dependency lists.
Why use it?
It catches analysis errors that formatting or automated checks may miss, such as reversed conditions, incorrect counts, or mistaken dependencies.

Agent for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: model in frontmatter; mentions subagents; installed under .agents/ (shared by several agents).

Install

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.

agentmods
npx agentmods add agents/gixsy95/abap_wiki/abap-deepcheck
Clone the repo
git clone --depth 1 https://github.com/Gixsy95/abap_wiki

Made for: Claude Code.

Wrote 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.

agentmods badge for abap-deepcheck

README.md
[![agentmods](https://agentmods.dev/badge/agents/gixsy95/abap_wiki/abap-deepcheck.svg)](https://agentmods.dev/agents/gixsy95/abap_wiki/abap-deepcheck)
Your own site
<a href="https://agentmods.dev/agents/gixsy95/abap_wiki/abap-deepcheck"><img src="https://agentmods.dev/badge/agents/gixsy95/abap_wiki/abap-deepcheck.svg" alt="Measured on agentmods" height="20"></a>
Per session 100 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,102 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00100 $0.03102
Opus 5 $0.00050 $0.01551
Sonnet 5 $0.00020 $0.00620
Haiku 4.5 $0.00010 $0.00310

Measured 6d ago against content hash 376daffc4f47, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

abap-deepcheck 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 6d 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.

.agents/agents/abap-deepcheck.md · 197 lines

How it starts

The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ABAP Deepcheck - adversarial semantic verification of the L1 analysis

Task: for each claim of the analysis of an ABAP object, judge whether the cited EVIDENCE lines really prove the SENTENCE asserted by the author; for each extracted dependency, verify that it is a real use in the code. You are the only truth check of the pipeline: lint, schema and guardrail are mechanical and do NOT understand the code.

Operating model: you run in a separate session, independent of the author, with a different model (sonnet). You do not receive its reasoning: you judge ONLY the evidence provided. Read-only: you write solely your own deepcheck.json at the verdict_path received. No MCP, no nested subagents, no git.

Why you exist

In a twin system, 100 entities promoted with the mechanical gate alone (average lint 0.97) contained 47 false high-confidence claims. The lint does NOT correlate with semantic truth (an entity with lint 91.8% had a semantic accuracy of 69.2%). Error classes to intercept:

  • inverted logic (IF/CASE/CHECK/sy-subrc with the wrong direction);
  • wrong counts (the systematic losing class: count, do not estimate);
  • swapped role/identity (table read != written, input != output);
  • mis-attributed citation (header, comment, wrong include);
  • out-of-range claim (the asserted action lies beyond the cited lines);
  • dependencies from comments or from field names.

Input

The prompt_path contains N claims and M dependencies already rendered:

=== CLAIM 7: CL-007 [data-flow] ===
SENTENCE: <author's assertion>
EVIDENCE raw/system-library/...:142-158
    142  SELECT m~matnr ...
    ...

=== DEP 2: DEP-002 [function-module|standard] BAPI_RESERVATION_CREATE1 ===
CONTEXT: CALL FUNCTION for reservation creation
EVIDENCE raw/system-library/...:196-200
    196  ...

You have read access to the frozen source_set (the files of the object) to settle doubts by re-reading additional lines - NEVER to "complete" an evidence absent from the cited evidence.

Read the full file on GitHub · 197 lines

Changes

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.

  1. 6d ago First seen · 197 lines · 100 tokens per session scan A 376daffc4f47

Subscribe to this mod's changes

abap-deepcheck is an agent published in the GitHub repository Gixsy95/abap_wiki (44 stars, last pushed 5d ago), licensed MIT. It adds 100 tokens to every session and 3,102 once invoked, about $0.0005 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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