Borrowing it
Nothing to install: this file belongs to eljoujat/sapcc-skill. 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/eljoujat/sapcc-skill/main/AGENTS.mdgit clone --depth 1 https://github.com/eljoujat/sapcc-skillWrote 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/instructions/eljoujat/sapcc-skill/agents-md)<a href="https://agentmods.dev/instructions/eljoujat/sapcc-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/eljoujat/sapcc-skill/agents-md/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/instructions/eljoujat/sapcc-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/eljoujat/sapcc-skill/agents-md.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 | $0.04923 | $0.04923 |
| Opus 5.5 | $0.01969 | $0.01969 |
| Sonnet 5.5 | $0.00985 | $0.00985 |
| Haiku 4.5 | $0.00492 | $0.00492 |
Grade A, and why
sapcc-skill AGENTS.md 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 1mo 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 — 460 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file helps AI agents (Claude, Copilot, Cursor, Codex, Pi, Gemini…) understand this codebase quickly and work on it effectively. Following the agents.md standard.
Project Overview
sapcc-skill is an Agent Skills-compatible skill that lets any AI agent interact with a SAP Commerce Cloud (Hybris / CCv2) instance using natural language, across two complementary surfaces:
-
HAC (Hybris Administration Console) — application data & business logic. The agent translates intent into either:
- a FlexibleSearch query (SQL-like, read-only, fast)
- a Groovy script (business logic, service calls, writes, ImpEx, cronjobs)
…executed via
sapcc-hac-client(handles HAC authentication: CSRF token, JSESSIONID, ROUTE cookie). -
Cloud Portal API — CCv2 DevOps/platform operations (environments, builds, deployments, backups, scaling, endpoints, certificates, scheduled activities, service properties, user roles), executed via
sapcc-portal-cli(handles OAuth2 client_credentials auth).
The skill is designed to keep growing with additional SAP CC capabilities over time (monitoring, etc.).
Repository Structure
sapcc-skill/
├── SKILL.md # Agent Skills manifest — name, description, metadata
├── package.json # npm package (name: sapcc-skill, v2.1.0)
├── .env.example # Credentials template (HAC_* and PORTAL_*)
├── .gitignore # Excludes .env, node_modules, *.stamp
│
├── scripts/
│ ├── execute.js # ★ HAC ENTRY POINT — Groovy / FlexSearch CLI runner
│ ├── portal.js # ★ CLOUD PORTAL ENTRY POINT — builds/deployments/envs/... CLI runner
│ └── setup.js # Setup health checker (deps + .env validation, both HAC & Portal)
│
├── references/ # Agent-readable reference docs (loaded on demand)
│ ├── decision-guide.md # FlexSearch vs Groovy decision matrix
│ ├── flexsearch-guide.md # FlexibleSearch syntax, types, 30+ example queries
│ ├── groovy-patterns.md # Groovy patterns, Spring bean names, service examples
│ ├── sap-cc-types.md # SAP CC type reference (Product, Order, User…)
│ └── portal-guide.md # Cloud Portal command reference & DevOps workflows
│
├── .github/
│ ├── ISSUE_TEMPLATE/
│ │ ├── bug_report.md
│ │ └── feature_request.md
│ └── PULL_REQUEST_TEMPLATE.md
│
├── CODE_OF_CONDUCT.md
├── CONTRIBUTING.md
├── SECURITY.md
├── LICENSE # MIT
├── README.md # English documentation
└── README_AR.md # Arabic documentation
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.
- 1mo ago Changed · +109 lines · +1,424 tokens per session c03d60b09cb7
- 1mo ago First seen · 351 lines · 3,499 tokens per session scan A c801a34d743d
sapcc-skill AGENTS.md is an instructions file published in the GitHub repository eljoujat/sapcc-skill (3 stars, last pushed 1mo ago), licensed MIT. It adds 4,923 tokens to every session, about $0.0197 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 2026-08-31.
Other instructions, from other repositories
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next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
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