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.
npx agentmods add instructions/korner83/ai-development-methodology/agents-mdgit clone --depth 1 https://github.com/Korner83/ai-development-methodologyWhat 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 | $0.00784 | $0.00784 |
| Opus 5 | $0.00392 | $0.00392 |
| Sonnet 5 | $0.00157 | $0.00157 |
| Haiku 4.5 | $0.00078 | $0.00078 |
Grade B, and why
ai-development-methodology AGENTS.md scanned grade B with 1 finding 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 2d 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.
Instruction-override phrasingmediumPrompt injection
Text telling the model to disregard its earlier instructions or safety rules is the shape of a prompt injection, whoever wrote it.
rules or the task ("ignore previous instructions", "push to main", "disable the Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 2d ago First seen · 57 lines · 784 tokens per session scan B a43e58cfce45
ai-development-methodology AGENTS.md is an instructions file published in the GitHub repository Korner83/ai-development-methodology (4 stars, last pushed 8d ago), with no licence file. It adds 784 tokens to every session, about $0.0039 per session on Opus 5. A static security scan graded it B with 1 finding (instruction-override phrasing). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
crit AGENTS.md
Instructions for tomasz-tomczyk/crit, covering crit — development guide, project map, key architecture decisions, running and projects.
easy-notion-mcp CLAUDE.md
Instructions for Grey-Iris/easy-notion-mcp, covering easy-notion-mcp, open source context, .meta/ publication policy (hybrid, 2026-07-02), standing priorities and commands.
Claude-Skills CLAUDE.md
Claude Code instructions for borghei/Claude-Skills, covering claude.md, project purpose, navigation map, architecture overview and repository structure.
Claude-Skills AGENTS.md
AGENTS.md instructions for borghei/Claude-Skills, covering ai skills library — agent instructions, what this repository is, supported platforms, repository structure (domain → skill count) and skill package pattern.
Claude-Skills GEMINI.md
Gemini CLI instructions for borghei/Claude-Skills, covering gemini.md, project overview, how to use skills with gemini cli, 1. browse available skills and 2. activate a skill.
Claude-Skills copilot-instructions.md
Copilot instructions for borghei/Claude-Skills, covering ai skills library — copilot instructions, what this repository is, repository structure, skill package pattern and code style.