Borrowing it
Nothing to install: this file belongs to Benknightdark/neo-skills. 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/Benknightdark/neo-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/Benknightdark/neo-skillsWrote 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/benknightdark/neo-skills/agents-md)<a href="https://agentmods.dev/instructions/benknightdark/neo-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/benknightdark/neo-skills/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/benknightdark/neo-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/benknightdark/neo-skills/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 | $0.00777 | $0.00777 |
| Opus 5 | $0.00388 | $0.00388 |
| Sonnet 5 | $0.00155 | $0.00155 |
| Haiku 4.5 | $0.00078 | $0.00078 |
Grade A, and why
neo-skills 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 9d 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
neo-skills AGENTS.md
1. Project Overview
- Primary Technology Stack:
Node.js / JavaScript - Coding & Architectural Conventions:
- Follow modular architecture and existing code formatting.
- Inspect existing implementation files before creating new utilities.
- Do NOT introduce unrequested third-party dependencies.
2. Commands
List exact command lines used for project development, testing, linting, typechecking, and building:
| Command Type | Exact Command Line | Purpose / Scope |
|---|---|---|
| Unit / Integration Tests | npm test |
Verify behavioral correctness |
| Skill Syntax Check | python3 scripts/check-skills-syntax.py |
Verify skill markdown and frontmatter syntax |
| Build Check | npm run build |
Confirm clean compilation |
3. Workflow
The development workflow strictly follows this 9-stage closed loop:
graph TD
Step1[1. Perceive Task] --> Step2[2. Establish Baseline]
Step2 --> Step3[3. Reproduce Problem]
Step3 --> Step4[4. Plan Edits]
Step4 --> Step5[5. Minimal Implementation]
Step5 --> Step6[6. Incremental Verification]
Step6 --> Step7[7. Self-Review]
Step7 -->|Fail| Step4
Step7 -->|Pass| Step9[9. Handoff upon Pass]
- Perceive Task: Read project guidelines (
AGENTS.md) and target source files to understand goals and constraints. - Establish Baseline: Run existing test and build commands to confirm the project is in a stable, passing state.
- Reproduce Problem: Write or run test cases/verification steps that reliably reproduce the issue or requirement.
- Plan Edits: Decompose the task into small, atomic edit plans to avoid large single-turn changes.
- Minimal Implementation: Apply minimal code changes while preserving existing comments and public API contracts.
- Incremental Verification: Run local test, lint, and build commands immediately after each edit.
- Self-Review: After an AI Agent finishes modifying code, tests, configuration, or scripts, activate
neo-code-reviewand review the current uncommitted working tree with--working-tree. Inspect diffs and execution logs; if checks fail, read full un-truncated error logs to find the root cause. - Remediate on Failure: If verification or review finds a critical issue, the review scope is unclear, or the skill cannot be loaded, do not declare completion or hand off. Return to "Plan Edits / Minimal Implementation", then rerun verification and
neo-code-reviewafter each remediation. - Handoff upon Pass: Once all verification sensors pass, present a concise report with empirical proof for handoff.
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.
- 9d ago First seen · 63 lines · 777 tokens per session scan A 9f5e249c2307
neo-skills AGENTS.md is an instructions file published in the GitHub repository Benknightdark/neo-skills (7 stars, last pushed 3d ago), licensed MIT. It adds 777 tokens to every session, about $0.0039 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 2026-08-31.
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.