What is ai-security-crew AGENTS.md?

Repository instructions for AI Security Crew, a Python project that reviews software and integrations for security risks, including Atlassian services such as Jira and Confluence. They require a security review before coding begins.

Performing task or ticket security assessments, reviewing new features such as file handling and authentication, and extending the security tools.

They establish a repeatable security check and show where providers, data models, servers, tests, and authentication code live.

How Srajangpt1/ai-security-crew configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to Srajangpt1/ai-security-crew. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/Srajangpt1/ai-security-crew/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/Srajangpt1/ai-security-crew

Made for: Codex, OpenCode.

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/srajangpt1/ai-security-crew/agents-md.svg)](https://agentmods.dev/instructions/srajangpt1/ai-security-crew/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/srajangpt1/ai-security-crew/agents-md"><img src="https://agentmods.dev/badge/instructions/srajangpt1/ai-security-crew/agents-md.svg" alt="Measured on agentmods" height="20"></a>

Per session 1,058 This file is loaded in full into every session.

When invoked 1,058 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.01058	$0.01058
Opus 5	$0.00529	$0.00529
Sonnet 5	$0.00212	$0.00212
Haiku 4.5	$0.00106	$0.00106

Measured 8d ago against content hash 8fd6cd45a3ce, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

ai-security-crew 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 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.

AGENTS.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS

Audience: LLM-driven engineering agents

This file provides guidance for autonomous coding agents working inside the AI Security Crew repository.

Repository map

Path	Purpose
`src/mcp_security_review/`	Library source code (Python ≥ 3.10)
`├─ providers/atlassian/`	Atlassian service providers (Jira, Confluence)
`├─ models/atlassian/`	Pydantic data models for Atlassian APIs
`├─ servers/`	FastMCP server implementations
`├─ security/`	Security assessment and guidelines
`└─ utils/`	Shared utilities (auth, logging, SSL)
`tests/`	Pytest test suite with fixtures
`scripts/`	OAuth setup and testing scripts

Security tool workflow

Note: This workflow is also delivered to end users automatically via the MCP server's instructions field on connect. Changes here should stay in sync with servers/main.py.

Before starting any coding task

Call lightweight_security_review with the task description and tech stack.
If working from a Jira ticket, call assess_ticket_security instead.
For significant new features (auth, file handling, external integrations), also call perform_threat_model.

When adding or updating packages

Run both steps before writing code that uses the new packages:

Verify packages exist — call verify_packages. Fix any invalid packages before proceeding.
Scan for vulnerabilities — call scan_dependencies in parallel with verify_code_security, passing the packages and code snippets where they are used. Act on results:
- reachable or uncertain → upgrade or avoid the vulnerable function before continuing
- not_reachable / not_imported → note it and continue; consider upgrading anyway

Both SCA tools accept a JSON array of {"name", "version", "ecosystem"} objects ("pypi" or "npm").

After generating code

Call verify_code_security with the generated code. Follow the review_prompt in the response to perform the analysis and report findings.

Read the full file on GitHub · 122 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.

8d ago First seen · 122 lines · 1,058 tokens per session scan A 8fd6cd45a3ce

Subscribe to this mod's changes

ai-security-crew AGENTS.md is an instructions file published in the GitHub repository Srajangpt1/ai-security-crew (68 stars, last pushed 4mo ago), licensed MIT. It adds 1,058 tokens to every session, about $0.0053 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.

Security

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.

openai/codex · 5,182 tokens

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).

microsoft/vscode · 6,785 tokens

ai-security-crew: Instructions file for Codex