Borrowing it
Nothing to install: this file belongs to mperkhou/career-agent-workbench. 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/mperkhou/career-agent-workbench/main/AGENTS.mdgit clone --depth 1 https://github.com/mperkhou/career-agent-workbenchWrote 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/mperkhou/career-agent-workbench/agents-md)<a href="https://agentmods.dev/instructions/mperkhou/career-agent-workbench/agents-md"><img src="https://agentmods.dev/badge/instructions/mperkhou/career-agent-workbench/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/mperkhou/career-agent-workbench/agents-md"><img src="https://agentmods.dev/badge/instructions/mperkhou/career-agent-workbench/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 | $0.00452 | $0.00452 |
| Opus 5.5 | $0.00181 | $0.00181 |
| Sonnet 5.5 | $0.00090 | $0.00090 |
| Haiku 4.5 | $0.00045 | $0.00045 |
Grade A, and why
career-agent-workbench 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.
How it starts
The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Guidance
Use a Python-first architecture and public-safe synthetic evidence in this repository.
- Never add real profile or application state, generated career artifacts, credentials, employer-internal material, or machine-specific paths.
- Keep private workspace state in the root-anchored ignored directories and
preserve the root
.envprotections. - Keep edits scoped, add focused tests, and align the version, changelog, and release note for committed changes.
- Do not use destructive Git operations or discard work without explicit authority.
- Preserve human-review checkpoints and require explicit authority before actions that publish, contact third parties, or change external state.
Local operator contract
- Run
make installfrom the repository root to create the ignored public.venv, install.[dev,browser], and install Playwright Chromium. Do not use the legacy repository environment for public operation. - The ignored root
.envis bootstrap-only. It selects the external workspace and its private dotenv; tokens and machine-specific settings belong only in that external mode-0600file. - Use
make start-website,make stop-website, andmake restart-websitefor PID-owned local lifecycle. Browser opening is opt-in throughOPEN_BROWSER=1; never stop processes by port scanning. make skill-linkmanages exactly the five public repository skills. It must not replace unrelated personal skills or overwrite a non-symlink.- The canonical MCP executable is the absolute public
.venv/bin/career-agent-workbench-mcp; retain a clearly named legacy registration until the final cutover gate.
Validation and release
- Focused changes require their tests, Ruff check/format,
git diff --check, and public-tree safety. Release readiness additionally requires the complete suite, wheel/sdist build and scan, isolated wheel smoke, offline Chromium, browser workbench, and injected MCP stdio checks. - Release PRs stay unmerged and untagged until their final gate and explicit user approval. Preserve normal reviewed commits; do not squash or rebase them.
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 · 42 lines · 452 tokens per session scan A b24a2adcefa2
career-agent-workbench AGENTS.md is an instructions file published in the GitHub repository mperkhou/career-agent-workbench (0 stars, last pushed 2mo ago), licensed MIT. It adds 452 tokens to every session, about $0.0018 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.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
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.