Borrowing it
Nothing to install: this file belongs to alicankiraz1/SentinelXPrime. 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/alicankiraz1/SentinelXPrime/main/AGENTS.mdgit clone --depth 1 https://github.com/alicankiraz1/SentinelXPrimeWrote 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/alicankiraz1/sentinelxprime/agents-md)<a href="https://agentmods.dev/instructions/alicankiraz1/sentinelxprime/agents-md"><img src="https://agentmods.dev/badge/instructions/alicankiraz1/sentinelxprime/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/alicankiraz1/sentinelxprime/agents-md"><img src="https://agentmods.dev/badge/instructions/alicankiraz1/sentinelxprime/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 | $0.00353 | $0.00353 |
| Opus 5 | $0.00177 | $0.00177 |
| Sonnet 5 | $0.00071 | $0.00071 |
| Haiku 4.5 | $0.00035 | $0.00035 |
Grade A, and why
SentinelXPrime 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 4d 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.
What it actually says
SentinelXPrime
Purpose
This repository contains a stage-aware cybersecurity skill suite for Codex, Claude Code, and OpenCode, plus compatibility guidance for Cursor and Kilo.
Required Checkpoints
- Planning checkpoint: before locking a plan, task list, or architecture, run a security gap analysis.
- Risky-implementation checkpoint: when work touches authentication, authorization, tokens, secrets, middleware, outbound requests, file handling, CI, deployment, or other trust-boundary code, run a low-noise scoped risky-change review pass and surface only material concerns.
- Post-implementation checkpoint: when coding appears complete, offer a focused security review.
- Pre-release checkpoint: before release, handoff, or done confirmation, offer a stack-aware security test/check plan.
Guardrails
- Treat the suite as advisory-first unless the user explicitly asks for stronger gating.
- Never claim the repository is secure, fully reviewed, or production-safe from a security perspective.
- Separate reviewed areas, unreviewed areas, assumptions, and tool-run status in every substantial report.
- If the user declines a security review or test/check plan in the current stage, do not repeat the same offer until the stage changes.
- If the stack is unclear, fall back to common web-security guidance and say that the stack inference is uncertain.
Authoring Defaults
- Keep repository-facing skill files, metadata, docs, examples, and validation artifacts in English unless a localized deliverable is explicitly requested.
- Keep user-facing assistant responses in the user's configured assistant language when that signal is available. If it is unavailable, follow the active conversation language and fall back to English.
- Do not add inline or block comments in source code unless the user explicitly asks for them.
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.
- 4d ago First seen · 23 lines · 353 tokens per session scan A eca6a40dcad5
SentinelXPrime AGENTS.md is an instructions file published in the GitHub repository alicankiraz1/SentinelXPrime (38 stars, last pushed 5mo ago), licensed MIT. It adds 353 tokens to every session, about $0.0018 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 2026-09-04.
Other instructions, from other repositories
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.