Borrowing it
Nothing to install: this file belongs to zxhwolfe-dev/aiworkstation-open-source-intelligence. 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/zxhwolfe-dev/aiworkstation-open-source-intelligence/main/AGENTS.mdgit clone --depth 1 https://github.com/zxhwolfe-dev/aiworkstation-open-source-intelligenceWrote 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/zxhwolfe-dev/aiworkstation-open-source-intelligence/agents-md)<a href="https://agentmods.dev/instructions/zxhwolfe-dev/aiworkstation-open-source-intelligence/agents-md"><img src="https://agentmods.dev/badge/instructions/zxhwolfe-dev/aiworkstation-open-source-intelligence/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/zxhwolfe-dev/aiworkstation-open-source-intelligence/agents-md"><img src="https://agentmods.dev/badge/instructions/zxhwolfe-dev/aiworkstation-open-source-intelligence/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 | $0.00181 | $0.00181 |
| Opus 5.5 | $0.00072 | $0.00072 |
| Sonnet 5.5 | $0.00036 | $0.00036 |
| Haiku 4.5 | $0.00018 | $0.00018 |
Grade A, and why
aiworkstation-open-source-intelligence 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 2mo 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
AGENTS.md
Project mission
AI Workstation Open Source Intelligence provides Skills, MCP tools, SDKs and evaluations for researching, verifying, comparing and composing open-source AI projects.
Development rules
- Main branch is the source of truth.
- Keep commits small and focused.
- Do not modify
akaiagents; use it only as a reference implementation. - Prefer documentation and contracts before production integrations.
- First release is read-only.
Product boundaries
Separate:
- Verified facts from sources.
- Model-generated analysis and recommendations.
- Unknown or unverified information.
- Risks and limitations.
First product capabilities
- open-source-project-research
- open-source-project-comparison
- open-source-stack-planner
MCP principles
- Explicit schemas.
- Read-only by default.
- Return evidence and timestamps where available.
- Never execute third-party repository code.
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.
- 2mo ago First seen · 36 lines · 181 tokens per session scan A e80b8e88e9cc
aiworkstation-open-source-intelligence AGENTS.md is an instructions file published in the GitHub repository zxhwolfe-dev/aiworkstation-open-source-intelligence (3 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 181 tokens to every session, about $0.0007 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.
aiworkstation-open-source-intelligence AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| aiworkstation-open-source-intelligence AGENTS.mdzxhwolfe-dev/aiworkstation-open-source-intelligence | Instructions file | 3 | 2mo ago | Apache-2.0 | A | 181 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |