Borrowing it
Nothing to install: this file belongs to zhiweio/resume-as-code. 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/zhiweio/resume-as-code/master/AGENTS.mdgit clone --depth 1 https://github.com/zhiweio/resume-as-codeWrote 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/zhiweio/resume-as-code/agents-md)<a href="https://agentmods.dev/instructions/zhiweio/resume-as-code/agents-md"><img src="https://agentmods.dev/badge/instructions/zhiweio/resume-as-code/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/zhiweio/resume-as-code/agents-md"><img src="https://agentmods.dev/badge/instructions/zhiweio/resume-as-code/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 | $0.01053 | $0.01053 |
| Opus 5.5 | $0.00421 | $0.00421 |
| Sonnet 5.5 | $0.00211 | $0.00211 |
| Haiku 4.5 | $0.00105 | $0.00105 |
Grade A, and why
resume-as-code 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 1mo 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agents Guide — Resume as Code
This repository is a resume-as-code project. All career data lives in modular YAML files, and three Agent Skills turn AI coding agents into automated resume / interview assistants.
This file follows the AGENTS.md open standard and is the canonical entry point for every coding agent (Codex, OpenCode, Aider, Qoder, Continue, RooCode, Cursor, Windsurf, Cline, Trae, GitHub Copilot, Claude Code, etc.).
Skills
Three skills are available under skills/. Read the full SKILL.md for any skill you intend to use — each is self-contained with its own prompts under references/ and YAML templates under assets/.
| Skill | When to trigger | Where to read |
|---|---|---|
| resume-generation | The user provides a Job Description and asks for a tailored resume. | skills/resume-generation/SKILL.md |
| timeline-polishing | The user provides raw work-experience or project notes and asks to polish them into structured YAML. | skills/timeline-polishing/SKILL.md |
| interview-preparation | The user provides a Resume + JD Analysis + Company Business Analysis and asks for an interview guide. | skills/interview-preparation/SKILL.md |
If you are unsure which skill applies, classify the user's input first: a JD → resume-generation; raw experience notes → timeline-polishing; a request to prep for an interview with the three context files → interview-preparation.
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.
- 1mo ago First seen · 55 lines · 1,053 tokens per session scan A 52ac4fd0a86d
resume-as-code AGENTS.md is an instructions file published in the GitHub repository zhiweio/resume-as-code (94 stars, last pushed 25d ago), licensed MIT. It adds 1,053 tokens to every session, about $0.0042 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 2026-08-30.
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).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.