Borrowing it
Nothing to install: this file belongs to srksourabh/premium-resume-studio. 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/srksourabh/premium-resume-studio/main/AGENTS.mdgit clone --depth 1 https://github.com/srksourabh/premium-resume-studioWrote 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/srksourabh/premium-resume-studio/agents-md)<a href="https://agentmods.dev/instructions/srksourabh/premium-resume-studio/agents-md"><img src="https://agentmods.dev/badge/instructions/srksourabh/premium-resume-studio/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/srksourabh/premium-resume-studio/agents-md"><img src="https://agentmods.dev/badge/instructions/srksourabh/premium-resume-studio/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 | $0.00479 | $0.00479 |
| Opus 5 | $0.00239 | $0.00239 |
| Sonnet 5 | $0.00096 | $0.00096 |
| Haiku 4.5 | $0.00048 | $0.00048 |
Grade A, and why
premium-resume-studio 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.
What it actually says
AGENTS.md — Premium Resume Studio
Instructions for coding agents (OpenAI Codex, Cursor, Aider, Cline, Continue, and
any agent that reads AGENTS.md). The full workflow lives in SKILL.md — read it
first; this file is the quick operational contract.
What this repo is
A resume builder: one JSON profile → auto-classified archetype (executive / academic / fresher / technical / general) → premium PDF (+ editable DOCX/ODT + ATS text) → a "Model Council" score. Iterate until the score clears 85.
Setup
./install.sh # Playwright + Chromium (reuses a pre-installed browser if present)
The one command you'll run most
node scripts/build_resume.js --profile <profile.json> --out <out.pdf> --all
# --all = PDF + DOCX + ODT + ATS text + cover draft; auto-fits pages (no blank tail)
node scripts/lib/council.js --profile <profile.json> # score any profile 0–100
Rules (from SKILL.md — do not violate)
- Never invent dates, metrics, employers, or institutions. Enrich only with verifiable
research; flag unconfirmed items in the profile's
_provenanceblock. - Don't stop iterating until the council score is ≥ 85 (or
--threshold). - Re-render after editing the profile; never hand-edit the PDF/DOCX/ODT.
- Keep changes minimal and match existing code style; the render templates are pure
functions in
scripts/lib/templates/, scoring inscripts/lib/council.js.
Verifying a change
node scripts/build_resume.js --profile profile/sourabh.json --out /tmp/t.pdf --all # should PASS (~90)
Programmatic use (OpenAI / function calling)
Expose one tool, render_resume(profile_path, out_path), that shells out to the build
command above; feed SKILL.md as the system prompt. Same shape as the Gemini example in
docs/gemini-integration.md. Full integration matrix: docs/integrations.md.
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 · 41 lines · 479 tokens per session scan A d21d28542f3a
premium-resume-studio AGENTS.md is an instructions file published in the GitHub repository srksourabh/premium-resume-studio (2 stars, last pushed 2mo ago), licensed MIT. It adds 479 tokens to every session, about $0.0024 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.