Borrowing it
Nothing to install: this file belongs to Gixsy95/abap_wiki. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Gixsy95/abap_wiki/main/.agents/agents/abap-deepcheck.mdgit clone --depth 1 https://github.com/Gixsy95/abap_wikiWrote 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/agents/gixsy95/abap_wiki/abap-deepcheck)<a href="https://agentmods.dev/agents/gixsy95/abap_wiki/abap-deepcheck"><img src="https://agentmods.dev/badge/agents/gixsy95/abap_wiki/abap-deepcheck/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<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="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00100 | $0.03102 |
| Opus 5.5 | $0.00040 | $0.01241 |
| Sonnet 5.5 | $0.00020 | $0.00620 |
| Haiku 4.5 | $0.00010 | $0.00310 |
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 2mo 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 — 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.jsonat theverdict_pathreceived. 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.
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.
- 2mo ago First seen · 197 lines · 100 tokens per session scan A 376daffc4f47
abap-deepcheck is an agent published in the GitHub repository Gixsy95/abap_wiki (50 stars, last pushed 1mo ago), licensed MIT. It adds 100 tokens to every session and 3,102 once invoked, about $0.0004 per session on Opus 5.5. 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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