Borrowing it
Nothing to install: this file belongs to hrishikesh-thakre/ai-workbench-mcp. 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/hrishikesh-thakre/ai-workbench-mcp/master/AGENTS.mdgit clone --depth 1 https://github.com/hrishikesh-thakre/ai-workbench-mcpWrote 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/hrishikesh-thakre/ai-workbench-mcp/agents-md)<a href="https://agentmods.dev/instructions/hrishikesh-thakre/ai-workbench-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/hrishikesh-thakre/ai-workbench-mcp/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/hrishikesh-thakre/ai-workbench-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/hrishikesh-thakre/ai-workbench-mcp/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 | $0.00285 | $0.00285 |
| Opus 5.5 | $0.00114 | $0.00114 |
| Sonnet 5.5 | $0.00057 | $0.00057 |
| Haiku 4.5 | $0.00028 | $0.00028 |
Grade A, and why
ai-workbench-mcp 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
Repository Summary
ai-workbench-mcp is a public-shaped extraction of the AI Workbench acceptance and audit layer. Its purpose is to integrate with Goose as the first supported MCP host while preserving Workbench-owned evidence, validation, quality gates, routing recommendations, and analytics.
Read First
docs/ai/START_HERE.mddocs/ai/DECISIONS.mddocs/ai/PROJECT_MAP.mddocs/ai/ROADMAP_STATUS.md
Working Rules
- Keep Goose as the default execution surface.
- Keep Workbench core logic runtime-agnostic.
- Do not add private run history, local machine paths, provider secrets, or personal target-repo config.
- Preserve
runs/<run_id>/as the local evidence ledger, but keepruns/out of git. - Do not claim a run is accepted without deterministic validation and a quality-gate decision.
- Prefer MCP tools and Goose recipes over custom UI or provider plumbing.
Current Direction
The repo is being built toward:
Goose-first distribution.
Workbench-owned acceptance and audit layer.
Runtime-agnostic core.
The first public MVP exposes run setup, model selection, execution capture, validation, quality gate, and run analysis through a Goose-compatible MCP server.
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 · 34 lines · 285 tokens per session scan A 848a86e475a6
ai-workbench-mcp AGENTS.md is an instructions file published in the GitHub repository hrishikesh-thakre/ai-workbench-mcp (0 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 285 tokens to every session, about $0.0011 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.
ai-workbench-mcp AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ai-workbench-mcp AGENTS.mdhrishikesh-thakre/ai-workbench-mcp | Instructions file | 0 | 4mo ago | Apache-2.0 | A | 285 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | 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 | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |